Universities are under mounting pressure to prove that teaching and learning meet the highest academic standards — not just on campus, but also when subcontracted to external partners. With the Office for Students (OfS) consulting on new subcontracting oversight rules (Condition E8), the message is clear: institutions must show reliable, auditable evidence of what was taught, how it was taught, and how students engaged.
The risk is significant. Without a defensible audit trail, universities can struggle to demonstrate compliance, leaving themselves exposed to regulatory action and fines, reputational damage, and student dissatisfaction.
Why Audit Trails Matter
A true audit trail is more than attendance records or basic logs. It:
Proves compliance with OfS expectations and internal QA processes.
Protects your institution’s reputation by showing consistent standards across all delivery partners.
Enables data-driven improvement by identifying strengths and gaps in teaching.
Under OfS proposals, these are no longer optional — they are essential.
How SimVenture Creates Reliable Audit Trails
1. Detailed User Activity Tracking Every student interaction — from accessing the simulation to decisions in finance, marketing, and operations — is time-stamped and recorded, providing verifiable evidence of engagement and outcomes.
2. Centralised Educator Dashboard SimVenture Evolution gives you a control panel for oversight. You can track progress, download participation reports, and compare outcomes across subcontractors — all in real time.
3. Configurable Scenarios with Built-In Records You can design simulations aligned to your learning outcomes, with parameters and results stored for later review by moderators, auditors, or regulators.
4. Assessment Integration Simulation data links directly to assessment systems, connecting student activity with grades and strengthening the audit trail.
5. Exportable Evidence Reports and logs are ready-made for OfS inspections, external examiner reviews, or subcontractor audits.
Benefits for Subcontracting Oversight
SimVenture ensures universities maintain full visibility and control when working with delivery partners:
Standardised content and assessment across all locations.
Transparent oversight of subcontracted teaching quality.
A defensible evidence base if compliance is challenged.
Conclusion
Audit trails are now central to regulatory compliance and institutional credibility. SimVenture makes this straightforward. Every student decision, every engagement metric, every outcome is tracked, stored, and exportable — giving you confidence that subcontracted delivery meets the same high standards as in-house provision.
In short, SimVenture doesn’t just help students learn — it helps you prove that learning has taken place, to the standard the OfS expects and your reputation demands.
– Emphasis on interdisciplinary skills: blending AI, robotics, systems thinking, ethics, sustainability, materials science, data science. – Inclusion of advanced topics: generative AI, swarm robotics, quantum computing, IoT/IIoT, digital twins. – Focus on customization of learning paths to match rapid technological change.
Updating curricula takes time; resistance from traditional disciplines; teacher training; resource constraints; risk students are taught tools rather than fundamental thinking.
Opportunity for institutions to stand out by offering cutting-edge courses; partnerships with industry for co-designed curricula; online and micro-credentials to keep pace.
Introduction
The evolution of industrial revolutions has always reshaped the world’s workforce and educational systems. From the steam engines of Industry 1.0 to Industry 4.0’s digital revolution, each era demanded new skills and updated curricula. Now, Industry 6.0 emerges as the next frontier—a fusion of human-centric technology, sustainability, and ethical innovation. This shift isn’t just about advancing machines; it’s about redefining how humans and technology collaborate to create a more equitable, sustainable future. To prepare for this 变革, education must adapt to nurture the skills and values Industry 6.0 demands.
What is Industry 6.0?
Industry 6.0 builds on the automation and AI of Industry 4.0 but prioritizes collaboration between humans and intelligent systems, such as AI, robotics, and IoT, within a circular economy framework. Key characteristics include:
Human-Machine Synergy: Smart systems handle repetitive tasks, while humans focus on creativity, decision-making, and problem-solving.
Sustainability: Designing products and processes to minimize waste, maximize resource reuse, and reduce carbon footprints.
Ethical AI: Ensuring technology aligns with societal values, respects privacy, and avoids biases.
Bio-Robotics & Precision Healthcare: Blending biology with robotics to advance personalized healthcare and manufacturing.
Industry 6.0 isn’t about replacing humans; it’s about elevating human potential through technology, all while safeguarding the planet.
How Education Will Need to Transform
With Industry 6.0 on the horizon (or already emerging in R&D/early adoption), the educational landscape must evolve to prepare learners — from school through to lifelong learning — for this new paradigm. Here are key areas of change, along with challenges and opportunities.
Domain
Future Features / Needed Changes
Implications & Challenges
Opportunities
Pedagogy & Teaching Modes
– More project-based, experiential learning: students working with real systems, robots, sensors, AI agents. – Use of AR/VR, simulation, digital twins in teaching: lets students experiment in virtual/augmented environments. – Hybrid / blended / remote learning as norm; possibly continuous “just-in-time” modules. – Emphasis on soft skills: collaboration with AI/machines, ethics, adaptability, lifelong learning.
Ensuring access to required technology and infrastructure; teacher upskilling; balancing traditional assessments with more open-ended work; managing equity so all students benefit.
More engaging and relevant learning; ability to serve diverse learners; creating lifelong learning ecosystems; closer ties with industry and research labs.
Teacher / Instructor Roles
– Teachers become facilitators, guides, co-learners rather than just content deliverers. – Need for continuous upskilling: understanding of latest AI, robotics, sustainability, new manufacturing tech. – Ethical and responsible AI in education: understanding bias, privacy, etc.
Burnout risk; effort needed for professional development; mismatch between what industry needs and what teachers currently know; funding.
New roles: AI coach, learning experience designer; possibilities for teachers to engage with industry; improved practices feeding back into education research.
Assessment & Credentials
– Assessments that evaluate ability to solve open-ended, real-world problems, not just rote knowledge. – Micro-credentials, stackable certificates, continuous assessment. – Badging, portfolio-based evaluation, peer assessment. – Accreditation must adapt for hybrid learning, AI tools usage.
Ensuring credibility; avoiding fragmentation; reconciling standardised assessment vs flexibility; integrity issues (cheating, misuse of AI).
More personalized paths; quicker feedback loops; better alignment with what industry actually needs; lifelong learning is easier to credential.
Infrastructure & Tools
– Access to AI labs, robotics kits, IoT sensors, AR/VR gear, simulation / digital twin platforms. – High bandwidth connectivity, edge computing, cloud access. – Data infrastructure and ethics around student data. – Maker spaces / fab labs integrated into schools and universities.
Costs; maintenance; ensuring that rural / low-income regions are not left behind; cybersecurity; digital divide.
Stimulating innovation among students; enhancing hands-on skills; better preparedness for real industrial environments; possibility of remote labs etc.
Lifelong Learning & Reskilling
– Rapid evolution means reskilling/upskilling becomes continual rather than occasional. – Flexible learning: modular, part-time, short courses, online or hybrid. – Partnerships with industry: internships, apprenticeships, co-op, collaborative research. – Emphasis on ethics, sustainability, global citizenship as well as technical ability.
Motivating adult learners; who pays; ensuring credentials are recognised; keeping content up-to-date; balancing just-in-time learning vs deep foundational knowledge.
Huge potential: for those in current workforce to transition; for education to become truly lifelong; economic benefit from upskilling; reducing skills shortages.
Vision: What Education Could Look Like in an Industry 6.0 World
To make this more concrete, here’s a possible snapshot of what schooling / higher education might look like in (say) 2040-2050 in a country that has successfully adapted.
Elementary / Secondary Schools Students are exposed early to AI which is integrated into all subjects. Basic robotics/IoT kits are commonplace. Virtual labs and AR/VR allow exploration of manufacturing, biology, environmental sustainability. Assessment includes portfolios, group projects, and real-world problem solving (e.g. sustainability of local community).
Vocational / Technical Colleges Strong partnership with nearby factories/labs where students train on real machines, digital twins, predictive maintenance systems. Short, stackable certifications offered on topics such as human-robot collaboration, edge computing, generative design, circular design.
Universities Interdisciplinary programmes: merging engineering, AI/data science, environmental sciences, business. Research embedded into teaching. Massive open courses / micro-credentials for lifelong learners. Graduates equipped not only with technical skills but with ability to learn, adapt, work across domains, manage AI systems, think ethically.
Lifelong Learning / Workforce Platforms that allow workers to upskill mid-career: e.g. short courses in autonomous system supervision, sustainability auditing, AI safety. Businesses run internal academies. Governments support re-skilling programs especially for roles at risk of automation.
Conclusion
Industry 6.0 promises a future of deeply interconnected, intelligent, sustainable, and highly flexible manufacturing and production. Education is not a side show in this transformation — it is central. Preparing learners for an Industry 6.0 world means more than teaching new technical tools; it requires rethinking how we learn, who teaches, what is assessed, and ensuring ethical and equitable access.
If we get this right, education and industry can form a virtuous cycle: industry offering challenges and real-world systems, education producing not just skilled workers but innovative, ethical, adaptive thinkers who can chart sustainable progress.
Retirement has changed. For many people it’s no longer a slow wind-down but a deliberate choice to start something fresh: a business built around a passion, skill or problem they’ve cared about for years. These “second acts” combine time, focus, experience and networks — and for a surprising number of people in the U.S., they produce successful, satisfying ventures. Below I explain why retirement is an ideal time to launch a business, show real U.S. examples, and point to practical resources (including useful posts on my blog) if you want to turn an idea into a low-risk venture.
Why retirement is fertile ground for entrepreneurship
Time and flexibility. With fewer day-to-day job demands, retirees can test ideas at a measured pace — setting boundaries so the new venture enhances life rather than consumes it. AARP’s coverage shows many older Americans choosing entrepreneurship to stay active, supplement income, or pursue purpose. AARP
A long runway of experience. Decades in a profession give retirees rare domain knowledge and durable networks — two assets that accelerate business traction and reduce early-stage mistakes. The Kauffman Foundation has documented that people in mid-life and beyond are starting new firms at meaningful rates, often by choice rather than necessity. kauffman.org
Better risk calibration and resources. Older founders generally make decisions with clearer hindsight and often have savings, home equity, or smaller financial needs that allow them to bootstrap carefully. Reports from financial services and research groups (e.g., TIAA) show the broad desire among Americans 55+ for visible pathways into business ownership. tiaa.org
Support ecosystems exist. Programs like AARP’s Work for Yourself@50+ and SCORE mentoring provide targeted workshops, templates, and mentorship for encore entrepreneurs. That institutional support shortens the learning curve. AARP
Real U.S. examples of successful second acts
Deborah Lofton — persistence and a second chance
Deborah’s first business failed, but after joining AARP’s Work for Yourself@50+ program she retooled, relaunched, and built a sustainable enterprise. Her story underscores two truths: iteration matters, and available support programs can make the difference between a hobby and a commercial success. AARP
Charlotte Bishop — organizing business launched at 67
Charlotte turned a lifetime of organisation and practical home-efficiency know-how into an eco-friendly organising business with her son. Small, service-led firms like hers show how “soft” professional skills translate to reliable customer value. AARP
Bridget Johns and the investor trend (Wall Street Journal)
Recent coverage in the WSJ highlights investors and entrepreneurs betting on older founders — people who launch data-driven e-commerce or tech-adjacent ventures later in life. Bridget Johns’s experience (featured in the WSJ) shows that mature founders can found high-growth businesses too, particularly when they pair domain experience with contemporary models like e-commerce or platform businesses. Wall Street Journal
The archetypal second act — Colonel Harland Sanders
A classic U.S. example: Harland Sanders franchised Kentucky Fried Chicken after age 60. He packaged a repeatable method (a recipe and service standard) and sold the system — a reminder that some second acts scale when you productise what you know. (Historic background and timelines are widely documented.) CNN Money
Patterns that make second acts succeed
Start small and validate. Run a 30- to 90-day pilot: a handful of paying customers proves demand faster than long plans. The practical advice from Kiplinger and Investopedia recommends testing before investing retirement savings. KiplingerInvestopedia
Productise experience. Turn consulting, coaching, or a repeatable service into a product — templates, workshops, memberships or paid guides scale your time. AARP stories show practical examples of this move. AARP+1
Use your network as a launchpad. Former colleagues, neighbours and community groups are early customers, testers and referrers — often the lowest-cost marketing you’ll find. Kauffman data emphasises the role of social capital in founder success. kauffman.org
Protect the joy. Don’t let the business erase what made the activity valuable. Keep scope manageable, price work so it rewards you, and outsource the parts you don’t enjoy.
Practical next steps (a simple 5-step playbook)
Map your overlap — list what you love, what you’re exceptionally good at, and which problems people are willing to pay to solve. (David Bozward’s 7-Ps of Ideation and his 4-step idea model are great resources here.) → Internal link: https://david.bozward.com/tag/business-ideation/
Run a 30-day pilot — offer a tightly scoped service to 5–10 customers, charge a modest fee, collect feedback. → Internal link: https://david.bozward.com/category/blog/
Keep overhead low — test using free tools (simple website, Google Business Profile, PayPal/Stripe), and avoid draining essential retirement savings. Kiplinger suggests cautious financial planning before committing large sums. Kiplinger
Find mentors — tap AARP, SCORE, local small-business centres or a Kauffman network to accelerate learning. AARPkauffman.org
Iterate and scale — when pilots show demand, raise prices, improve delivery systems, and consider light automation or subcontracting to protect your time.
Where to read more (U.S. sources)
AARP — guides and success stories for entrepreneurs 50+. AARP+1
Kauffman Foundation — data and reports on age and entrepreneurship in the U.S. kauffman.org+1
TIAA research brief — senior entrepreneurship and pathways to ownership. tiaa.org
Kiplinger — practical financial cautions and planning for starting a business in retirement. Kiplinger
Wall Street Journal — profiles and market coverage highlighting investors who back older founders. Wall Street Journal
Investopedia — practical ideas and simple case studies for hobby-to-business transitions. Investopedia
Internal links to help your readers (and boost SEO)
Consulting & how-to guides — turn professional experience into paid services: https://david.bozward.com/
Final thought
A business started in retirement doesn’t have to be a full-time grind or a risky bet — it can be a carefully designed second act that amplifies the meaning, income and social connection you want in this stage of life. With targeted support (AARP, SCORE), solid data (Kauffman, TIAA), and a measured approach (pilot, price, protect joy), retirement can be your most creative, productive chapter yet.
Retirement is often seen as the culmination of a lifetime of work—a time to relax, travel, and enjoy the fruits of one’s labor. But for many, it’s also the beginning of something entirely new. In fact, retirement can be the perfect time to start a business. With decades of experience, financial stability, and the freedom to pursue passions without the constraints of a 9-to-5 job, older entrepreneurs are proving that age is just a number when it comes to innovation and success.
Why Retirement is the Perfect Time for a Business
Freedom to Pursue Passions
Retirement offers unparalleled freedom. Without the pressures of corporate ladders or deadlines, retirees can focus on what truly excites them. Whether it’s a lifelong hobby, an unfulfilled dream, or a desire to solve a problem in their community, retirement provides the time and space to explore these ideas without rush. For example, many retirees turn hobbies like gardening into businesses selling organic produce or handmade goods. This creative freedom is a luxury that full-time work often doesn’t afford.
A Lifetime of Experience
Decades in the workforce mean a treasure trove of skills, networks, and industry insights. Startups often fail due to lack of experience—retirees already have that. For instance, a retired engineer might have the expertise to design and build a revolutionary product, while someone from marketing could launch a consulting firm. According to a Harvard Business Review article, older entrepreneurs leverage their experience to make better strategic decisions and avoid common pitfalls that derail younger founders Harvard Business Review, “The Power of Experience: Why Retirees Make Great Entrepreneurs”.
Financial Stability
While not everyone retires with significant savings, many have pensions, 401(k)s, or other financial cushions that provide security. This stability allows for more calculated risks when starting a business, as the immediate need to earn an income is reduced. For example, someone with a stable pension can afford to invest in a business that takes time to become profitable. As David Bozward discusses in his blog post on retirement financial planning, having a financial safety net is crucial for entrepreneurial ventures at any age.
Established Networks
Years in an industry often mean strong professional networks that can be leveraged for advice, partnerships, or even customer bases. For instance, a retired executive might have contacts who are eager to support their new venture or invest in it. Networking is often cited as one of the most valuable resources for entrepreneurs, and retirees have had decades to build these relationships.
Real-World Examples of Retiree Entrepreneurs
Colonel Harland Sanders (KFC)
At age 65, after failing at multiple jobs and receiving social security checks, Sanders lived off his $105 monthly check. He sold his life savings to franchise his chicken recipe, which eventually became the global brand Kentucky Fried Chicken. His persistence and experience in food preparation were key to his success KFC’s official history.
Vera Wang
Vera Wang transitioned into fashion at 40 after working as an editor and figure skater. She couldn’t find a wedding dress she liked, so she designed her own—launching a career that made her one of the most recognized designers in bridal fashion Vera Wang’s biography.
Ray Kroc
At 52, Ray Kroc joined McDonald’s as a franchise agent. Dissatisfied with the original owners’ lack of vision, he bought the company and turned it into a global empire. His business acumen, honed over decades in sales, was crucial to his success McDonald’s corporate history.
Harriet Doerr
Novelist Harriet Doerr published her first book at 70 and won the National Book Award for Fiction. Her late-blooming career shows that creative pursuits can thrive at any age The New York Times obituary.
Rod Kanan
Rod Kanan, a retired executive, founded a tech company at 60. He said that his years of leadership experience helped him navigate the industry and secure funding, proving that tech isn’t just for millennials Forbes article on older entrepreneurs.
Overcoming Challenges
Starting a business at any age comes with challenges, but retirees may face unique hurdles—and solutions exist for each.
Fear of Failure
Many retirees hesitate to start a business because they’ve already achieved financial security and don’t want to risk it. Solution? Start small—test the idea part-time before committing fully. Local workshops or online courses (e.g., Coursera’s “Entrepreneurship” specialization) can also build confidence. As David Bozward often advises in his blog post on adapting to change, continuous learning is key at any age.
Technical Gaps
If the business is tech-related, older entrepreneurs might feel outpaced by younger competitors. Solution? Learn from family, take digital literacy classes at the library, or hire a tech-savvy partner. Many community colleges offer affordable courses on software and digital tools tailored for beginners.
Access to Funding
Banks may be hesitant to lend to older entrepreneurs due to perceived shorter repayment timelines. Solutions include using personal savings, seeking grants for retiree entrepreneurs (like those from the Small Business Administration in the U.S.), or crowdfunding. The AARP offers resources on funding options for retirees considering entrepreneurship AARP’s Entrepreneurship at 50+.
Global Perspectives on Retiree Entrepreneurship
This trend isn’t limited to the U.S. Around the world, retirees are embracing second acts:
Japan: With a rapidly aging population, more Japanese seniors are turning to entrepreneurship. The government even offers subsidies for retirees starting businesses Nikkei Asia, “Japan’s Silver Startups”.
Europe: Countries like Germany and France are seeing retirees start businesses out of necessity (to supplement pensions) or desire (to stay active). A 2023 EU report found that nearly 1 in 5 retirees in some countries are involved in self-employment European Commission on Aging and Entrepreneurship.
Resources for Retiree Entrepreneurs
For those considering this path, numerous resources exist:
Harvard Business Review: Their article “The Power of Experience” highlights why older entrepreneurs often outperform younger ones HBR on Retiree Entrepreneurs.
Local SBA Offices: In the U.S., the Small Business Administration offers free counseling and workshops for all ages.
Final Thoughts
Retirement isn’t the end—it can be the start of a new chapter. Whether it’s turning a hobby into a business, leveraging decades of expertise to solve a problem, or simply wanting to stay active and engaged, retirement offers unique advantages for entrepreneurship. With the right mindset, preparation, and support, a second act in business can be just as rewarding (if not more so) than the first.
For more insights on financial independence and retirement planning, explore David Bozward’s thoughts at his blog on retirement strategies and his post on side hustles after 60. Remember, the only limit is your imagination—and that’s something that only grows with age.
Effective quality management in higher education is increasingly complex when universities work with subcontractual or partner providers. Ensuring consistency, compliance, and continuous improvement across multiple delivery sites requires robust systems that balance accountability with enhancement. Traditional quality control and assurance processes must evolve into dynamic frameworks that embed shared responsibility, data-driven oversight, and collaborative development. This review outlines practical strategies to strengthen institutional quality systems, drawing on UK QAA standards, the PDCA improvement model, and Total Quality Management principles. It highlights how universities can maintain academic integrity, enhance student outcomes, and build sustainable partnerships through structured subcontractual oversight.
1. Strengthen Governance and Oversight Structures
1.1. Establish a Unified Partnership Quality Framework
Develop a Partnership Quality Framework that clearly defines:
Roles and responsibilities of both the university and subcontractual provider.
Reporting lines to central academic quality and registry functions.
Minimum academic, operational, and compliance standards aligned with the UK Quality Code.
This framework should integrate QA (process assurance) and QE (continuous improvement) mechanisms to ensure all partners meet equivalent standards to on-campus delivery.
1.2. Introduce a Partnership Oversight Board
Create a Subcontractual Oversight Board reporting to the Academic Board or Senate, responsible for:
Reviewing academic performance metrics across providers.
Approving new partnerships and dynamically monitoring risks.
Overseeing annual self-evaluations, site visits, and re-approval cycles.
The board should include representation from academic quality, registry, finance, compliance, and student experience, ensuring a holistic governance approach.
2. Embed the PDCA (Plan–Do–Check–Act) Cycle in Partnership Management
2.1. Plan
Co-develop Programme Delivery Plans with each provider, specifying staffing, learning resources, assessment timelines, and student support.
Ensure alignment with Subject Benchmark Statements and the Framework for Higher Education Qualifications (FHEQ).
2.2. Do
Deliver teaching and learning using approved teaching staff and validated module specifications, which detail session learning outcomes.
Require staff induction into the university’s academic policies, assessment regulations, and pedagogic philosophy.
2.3. Check
Conduct joint moderation of assessments and external examiner reviews.
Implement mid-academic year quality reviews using student session attendance, module performance, retention, and satisfaction data.
Use risk-based audits for providers showing volatility in outcomes.
2.4. Act
Require Corrective Action Plans (CAPs) for underperforming areas.
Integrate lessons learned into the Annual Programme Monitoring (APM) process.
Share improvement outcomes across the provider network for collective learning.
3. Enhance Data-Driven Quality Control and Benchmarking
3.1. Develop a Partnership Data Dashboard
Create a real-time data dashboard tracking:
Student enrolment and retention rates.
Session Attendance and Engagement.
Assessment completion and grade distribution.
Module feedback from Students.
External examiner feedback and academic misconduct cases.
Continuation and Completion rates.
NSS-equivalent satisfaction scores.
This evidence-based approach supports proactive quality interventions and transparent accountability.
3.2. Implement Cross-Provider Benchmarking
Benchmark subcontractual providers against:
Internal university programmes.
External sector norms (using data such as HESA, TEF outcomes, or Graduate Outcomes Survey).
Comparable franchise or validation partners.
Use this benchmarking to drive competitive quality improvement and share best practice across providers and sites.
4. Reinforce Quality Assurance through Continuous Professional Development (CPD)
4.1. Standardise Staff Development
Mandate joint staff development programmes for university and subcontractual teaching staff:
Annual Teaching and Assessment Symposium to share best practices.
Digital pedagogy and student engagement workshops.
Support for HEA Fellowship or equivalent professional recognition.
4.2. Peer Review and Mentoring
Implement peer observation schemes that cross partner boundaries:
University academics mentor subcontractual teaching staff.
Reciprocal classroom visits and reflection sessions.
This approach transforms quality assurance from a compliance mechanism into a shared culture of learning, reflection, and continuous improvement, fostering trust, capability, and consistency across the entire partnership network.
5. Strengthen Quality Enhancement through Student Partnership
5.1. Student Voice Integration
Ensure student representation from each subcontractual provider within the university’s:
Academic Board or Learning & Teaching Committee.
Programme review and revalidation panels.
Student experience forums.
Establish consistent mechanisms for module feedback, focus groups, and student–staff liaison committees across all partners and sites, with standardised templates and analysis which drive the data dashboard.
5.2. Feedback-to-Action Transparency
Create a monthly Student Feedback Impact Report for each provider that shows:
Key issues raised.
Actions taken and responsible parties.
Timelines and measurable outcomes.
This demonstrates responsiveness and supports a culture of continuous enhancement.
6. Institutionalise Total Quality Management (TQM) Principles
6.1. Develop a Culture of Shared Responsibility
Move beyond compliance by embedding TQM principles:
Encourage providers to see quality as everyone’s responsibility, not merely the QA office’s function.
6.2. Establish Continuous Improvement Reviews
Introduce biannual Continuous Improvement Reviews (CIRs) where each provider:
Presents progress on academic and operational KPIs.
Shares innovations in pedagogy and student support.
Reflects on improvement actions implemented since the last review.
This shifts the focus from inspection to collaboration and learning.
7. Manage Risk and Compliance Proactively
7.1. Adopt a Risk-Based Quality Oversight Model
Categorise providers as Low, Medium, or High Risk based on:
Past performance.
Staff turnover.
Student outcomes.
Financial stability.
Tailor monitoring intensity accordingly:
Low risk: light-touch annual review.
Medium risk: mid-year check plus full annual review.
High risk: enhanced scrutiny, extra visits, and conditional continuation.
7.2. Maintain Clear Contractual Quality Clauses
Contracts should specify:
Quality expectations linked to QAA and OfS standards.
Sanctions for non-compliance or misrepresentation.
Obligations for real-time data reporting, assessment moderation, and staff approval.
Contracts should integrate quality indicators and improvement triggers—making QE a contractual expectation, not an optional enhancement.
8. Foster Transparency and External Credibility
8.1. External Examiner Network
Create a shared pool of external examiners across subcontractual sites to ensure consistency in:
Marking and assessment standards.
Feedback quality and moderation.
Award recommendations.
8.2. Public Reporting and Communication
Publish a Partnership Quality Annual Report summarising:
Provider performance.
Enhancements achieved.
Future improvement goals.
This reinforces institutional transparency and strengthens trust with stakeholders and regulators.
9. Promote Innovation and Digital Oversight
9.1. Digital Monitoring Systems
Use secure digital platforms for:
Engagement throughout module teaching.
Continuously track student learning development.
Online moderation and assessment tracking.
Automated alerts for underperformance.
9.2. AI-Driven Quality Insights
Apply learning analytics and AI tools to identify early warning signals such as:
Declining attendance or engagement.
Assessment bottlenecks.
Variance in feedback turnaround times.
Such data-driven intelligence enhances preventive quality management rather than reactive response. All digital platforms should be linked through a central data warehouse or dashboard, enabling the quality team to conduct integrated analyses that combine academic results, engagement data, and feedback insights. This holistic approach strengthens both accountability (through Quality Assurance) and innovation (through Quality Enhancement).
10. Align Subcontractual Oversight with Institutional Enhancement Strategy
Finally, integrate subcontractual quality oversight into the university’s broader enhancement agenda, ensuring it supports institutional ambitions in:
Teaching excellence (TEF alignment).
Graduate employability.
International reputation.
Inclusive student success.
When partners are embedded within a shared mission of continuous enhancement, the subcontractual relationship becomes not just a compliance requirement but a collaborative driver of educational excellence.
This article explores how universities can strengthen quality management when working with subcontractual or partner providers. It argues that traditional quality control and assurance models must evolve into integrated systems combining accountability, collaboration, and continuous enhancement.
A robust governance structure—anchored by a unified Partnership Quality Framework and Oversight Board—ensures consistent academic standards and transparent reporting. The PDCA (Plan–Do–Check–Act) cycle supports iterative improvement across all providers, while data-driven dashboards enable real-time monitoring of student outcomes, attendance, and satisfaction.
Staff capability is reinforced through joint CPD, cross-partnership peer review, and mentoring, creating a shared academic culture that values reflection and improvement. Students play a central role through standardised feedback mechanisms and representation on key committees.
The article promotes Total Quality Management (TQM) principles and risk-based oversight, balancing trust with accountability. Digital systems—including learning analytics, AI-driven dashboards, and experiential tools such as SimVenture—enhance transparency and consistency across teaching and assessment.
Ultimately, aligning subcontractual oversight with the university’s wider enhancement strategy ensures that all partners contribute to teaching excellence, employability, and inclusive student success. Quality thus becomes a collective, data-informed, and enhancement-led endeavour that unites the entire university network.
Universities are entering a new era of accountability. The Office for Students’ (OfS) 2025 consultation on subcontracting oversight makes it clear: lead providers will be held responsible for the quality, consistency, and outcomes of subcontracted teaching.
For many institutions, this raises difficult questions:
How do we guarantee that subcontracted students receive the same experience as those taught directly?
How do we generate reliable evidence of learning across multiple partners and delivery modes?
How do we prove to regulators that outcomes are consistent, transparent, and robust?
These aren’t just compliance issues—they touch reputation, student trust, and the integrity of provision.
Traditional oversight methods are too fragmented and reactive to meet today’s regulatory expectations. Universities often rely on periodic partner reviews, paper-based reports, or delayed quality audits to check subcontracted provision. While these approaches provide some reassurance, they are slow, inconsistent, and frequently retrospective—meaning problems are identified only after they have already affected student experience. In a regulatory environment where the OfS is demanding real-time visibility, clear accountability, and auditable evidence, universities can no longer depend on fragmented processes or occasional reviews. Instead, they require integrated, technology-driven solutions that enable continuous monitoring, standardisation, and transparent reporting across all subcontracted partners.
That’s where SimVenture offers a practical solution.
The Risks of Subcontracting
When provision is outsourced, universities face three critical risks:
Fragmentation: Teaching quality and pedagogy can vary across subcontractors.
Inconsistency: Students may not access the same opportunities for skills development.
Accountability gaps: Lead providers remain responsible but often lack the tools to monitor effectively.
Without strong oversight mechanisms, institutions risk falling short of OfS’s proposed E8 requirements.
How SimVenture Supports Oversight
1. Standardised Learning Experiences
SimVenture simulations—such as Evolution and Validate—allow universities to embed consistent, replicable tasks across modules, no matter who delivers them. Every student engages with the same experiential activities, ensuring equivalence of learning outcomes.
2. Real-Time Monitoring and Analytics
SimVenture generates detailed, data-rich insights into student decisions and performance. Lead providers can:
Compare in-house and subcontracted cohorts.
Spot underperformance early.
Present auditable evidence to the OfS.
This turns oversight from a manual process into a transparent, data-driven practice.
3. Evidence of Skills and Employability
Research shows that SimVenture fosters critical thinking, teamwork, entrepreneurial skills, and resilience—attributes tied directly to student retention and employability. Embedding these outcomes helps ensure subcontracted provision meets institutional benchmarks.
4. Flexible Integration Across Contexts
Whether subcontractors operate locally, nationally, or internationally, SimVenture’s online and hybrid models allow all learners to work within the same digital ecosystem. Universities retain governance while students gain consistent opportunities.
Mapping SimVenture to OfS Oversight Goals
OfS Aim (2025)
How SimVenture Helps
Strengthen oversight of subcontractors
Provides real-time analytics and cross-cohort comparability
Ensure equivalence of outcomes
Standardised simulations with replicable benchmarks
Demonstrate accountability
Transparent evidence of learning and skills development
Protect student interests
Enhances engagement, resilience, and employability
Conclusion
The OfS consultation highlights a reality: subcontracting oversight is no longer optional, it is a regulatory necessity. Universities need tools that provide both pedagogical value and compliance assurance.
SimVenture does both. It enhances student learning while delivering the standardisation, monitoring, and evidence institutions need to prove accountability.
In a complex subcontracting landscape, SimVenture isn’t just a teaching innovation—it’s a strategic instrument for governance, compliance, and protecting student interests.
Intro: Why the Workplace Is Changing Faster Than Ever
If you remember the office in 2005, it was a place of desks, water cooler gossip, and the occasional Friday happy hour. Fast forward to 2025 and that image has largely vanished. According to a recent Gartner study, 55 % of all jobs are now classified as “hybrid” or fully remote, and the same research shows that 70 % of professionals are juggling at least two career streams—whether that’s a full‑time role, freelance gigs, or entrepreneurial ventures.
My recent experience working with mature students shows that the majority had a job and a side hussle.
The COVID‑19 pandemic was the catalyst that accelerated a trend already in motion. Technology made it possible to collaborate across continents, and workers began to demand the flexibility that used‑to‑be “remote” jobs had promised. Employers, in turn, realized they could tap a global talent pool and reduce overhead costs by shifting to distributed teams. The result? A new workplace ecosystem that is fluid, multifaceted, and increasingly personalized.
If you’re reading this, chances are you already experience one or more of these shifts. Perhaps you work from home a few days a week, run a side hustle that keeps your evenings busy, or have multiple part‑time gigs that keep you on your toes. Whatever the mix looks like for you, this post will help you understand the dynamics at play and equip you with strategies to thrive.
1. The Evolution of Work: From Brick‑and‑Mortar Offices to Digital Ecosystems
1.1 Pre‑Digital: The Office 1.0 Era
Before the internet, jobs were almost always tied to a physical location. You’d arrive at a building, clock in, and leave at 5 pm. Productivity was measured by presence; collaboration happened over whiteboards or in conference rooms.
1.2 The Office 2.0 Transition
The rise of broadband, cloud storage, and collaboration tools (think Google Workspace, Microsoft Teams) began to loosen the strict tether between location and work. Small startups experimented with “remote first” policies, proving that performance could be maintained—if not improved—when employees were scattered across time zones.
1.3 The Pandemic Catalyst
When the world shut down in early 2020, companies were forced to pivot overnight. The ability to keep operations running from home became a test of resilience, not just technology. The lesson? Remote work is viable at scale.
1.4 Current Landscape: A Hybrid, Distributed, and Portfolio‑Based Future
Today’s workplace is a mosaic of:
Remote work (full‑time, hybrid)
Portfolio careers (multiple streams of income and expertise)
Side hustles (passion projects turned profits)
Gig economy roles (project‑based, flexible work)
The numbers back it up. A LinkedIn survey in 2024 found that over 60 % of professionals now have at least one freelance or contract role in addition to their full‑time job. Meanwhile, 43 % of companies report that a distributed workforce has become a permanent strategy post‑pandemic.
2. Remote Work: The New Normal
2.1 Defining Remote, Hybrid, and Distributed
Remote: Employees work entirely from outside the office.
Hybrid: A blend of in‑office and remote days, often scheduled to optimize collaboration.
Distributed: Teams are spread across multiple locations worldwide; there is no central office.
2.2 The Upside: Flexibility, Reach, and Cost Savings
Flexibility: Workers can schedule their days around personal commitments. A study by Buffer found that 80 % of remote workers say they’re happier with their work‑life balance.
Talent pool expansion: Companies can hire top talent regardless of geography, leading to richer diversity and innovation.
Reduced overhead: Office space costs can drop by up to 30 %, freeing capital for R&D or employee benefits.
2.3 The Downsides: Isolation, Over‑work, and Digital Fatigue
Social isolation: Without face‑to‑face interactions, employees may feel disconnected.
Blurring boundaries: The home becomes the office; many workers find it hard to “switch off.”
Zoom fatigue: A 2022 Microsoft study reported that average screen time for meetings increased by 38 % during the pandemic, correlating with higher stress levels.
2.4 Best Practices to Maximize Remote Success
Practice
Why It Works
Set a clear schedule
Signals availability to teammates and protects personal time.
Use asynchronous communication
Reduces the need for real‑time meetings and respects different time zones.
Prioritize video etiquette
Turning on a camera only when necessary can reduce fatigue while maintaining connection.
Invest in ergonomic gear
A proper chair and monitor setup can prevent long‑term health issues.
Schedule “office hours”
A weekly block where you’re available for impromptu chats mimics office dynamics.
3. Portfolio Careers: Multiple Hats, One You
3.1 What Is a Portfolio Career?
A portfolio career is a blend of full‑time employment, part‑time roles, consulting gigs, and entrepreneurial projects that together form a cohesive professional identity. It’s not about juggling for the sake of variety; it’s about strategic diversification that aligns with your skills, passions, and financial goals.
3.2 The Numbers: Why It’s Becoming Standard
70 % of professionals now juggle at least two career streams (LinkedIn 2024).
47 % of employers now actively encourage portfolio careers as a retention strategy.
3.3 Real‑World Examples
Dr. Maya Patel: Full‑time medical researcher + part‑time health consultant for tech startups.
Alex Rivera: Software engineer by day + freelance UX designer on the side, building a design portfolio that feeds into his full‑time role.
Sofia Chang: Marketing manager + author of a best‑selling e‑book on digital branding, generating passive income.
3.4 Skills That Transfer Across Roles
Communication: Clear messaging is essential whether you’re writing a grant proposal or pitching to investors.
Project management: Juggling deadlines across multiple projects sharpens your organizational skills.
Adaptability: Switching between industries or roles requires quick learning and flexibility.
4. Side Hustles & the Gig Economy
4.1 Why “Side Hustle” Is Booming
Low barrier to entry: Platforms like Etsy, Fiverr, and Upwork let you start with minimal upfront cost.
Technology: Cloud services enable you to build a storefront, run a SaaS product, or deliver content from anywhere.
Changing attitudes: Millennials and Gen Z now view side projects as legitimate career pathways rather than “hobbies.”
4.2 Types of Side Hustles
Type
Example
Typical Income Range
Freelance services
Graphic design, copywriting
30‑30‑200/hr
E‑commerce
Handmade goods on Etsy, dropshipping
500‑500‑5k/month
Content creation
YouTube channel, podcast
Variable (ads + sponsorships)
Digital products
E‑books, courses on Teachable
10‑10‑500 per sale
Gig economy
Ride‑share driver, delivery services
10‑10‑25/hr
4.3 Balancing Main Job & Hustle
Time‑boxing: Allocate specific blocks of time each week to your side hustle.
Prioritize high‑ROI tasks: Focus on activities that generate the most income per hour.
Set boundaries: Treat your side hustle like a client, not a hobby—keep professional communication separate.
4.4 Legal & Financial Considerations
Taxes: Side income is taxable; consider quarterly estimated payments.
Insurance: Depending on your gig, you may need professional liability or health insurance.
Contracts: Even for small gigs, a written agreement protects both parties.
5. Managing Multiple Careers
5.1 Prioritization Frameworks
Eisenhower Matrix (Urgent vs Important): Helps decide which tasks need immediate attention.
Pareto Principle (80/20 rule): Focus on the 20 % of tasks that produce 80 % of results.
Talent retention: Companies recognize that employees with diverse skill sets are more resilient.
Policy updates: Some firms now allow “dual employment” with prior approval, offering flexible contracts.
7. Strategies for Success
7.1 Build a Personal Brand That Spans Roles
Consistent voice: Whether on LinkedIn, Twitter, or your personal website, keep a cohesive narrative.
Portfolio showcase: Use platforms like Behance or GitHub to display cross‑industry work.
7.2 Automate Repetitive Tasks
AI assistants: Tools like ChatGPT can draft emails, generate content outlines, or analyze data.
Workflow automation: Automate invoicing, client onboarding, and social media scheduling.
7.3 Networking on LinkedIn & Niche Communities
Engage regularly: Comment, share insights, and publish short articles to stay visible.
Join groups: Find communities that align with each of your career streams.
7.4 Setting Up a “Career Calendar”
Quarterly focus: Dedicate each quarter to advancing one specific stream.
Monthly checkpoints: Review metrics (income, time spent, client satisfaction) and adjust.
8. The Future Outlook
8.1 AI‑Augmented Work
Automation of routine tasks: From data entry to basic analytics, AI frees up human creativity.
Hyper‑personalization: Customer experiences tailored by algorithms will become standard.
8.2 Micro‑Employers & Freelance Platforms
Rise of “micro‑employers”: Small companies offering project‑based work to a global talent pool.
Platform consolidation: We’ll see more integrated gig platforms offering end‑to‑end services (payment, tax filing, insurance).
8.3 Lifelong Learning Mandates
Skills passports: Digital credentials that prove competence in specific domains.
Employer‑sponsored learning: Companies will increasingly fund training to keep their workforce adaptable.
8.4 Future‑Proofing Your Skill Set
Tech fluency: Even non‑tech roles will require basic coding, data literacy, or AI knowledge.
Soft skills: Adaptability, emotional intelligence, and cross‑cultural communication will be in high demand.
Conclusion: Your Career Is Already the Future
If you’re already working remotely, juggling multiple gigs, or building a side hustle, you’ve taken the first step into the future of work. The challenge isn’t whether to adapt—it’s how you do it.
Use the strategies above to turn potential chaos into a well‑orchestrated career symphony. Keep learning, stay flexible, and remember that your diverse experiences are not a distraction; they’re a competitive advantage.
“The future of work is not a destination; it’s a mindset.” – Satya Nadella
Universities are under increasing pressure to prove that subcontracted teaching delivers the same quality and outcomes as in-house provision. The Office for Students’ (OfS) July 2025 consultation on subcontracting oversight makes this clear: lead providers will need stronger governance, transparent monitoring, and reliable evidence that subcontracted students receive an equivalent educational experience.
This isn’t just about compliance—it’s about protecting reputation, ensuring fairness for students, and avoiding regulatory risk. For many institutions, the challenge is finding tools that make oversight practical, scalable, and data-driven.
That’s where SimVenture, a suite of award-winning business simulations, comes in.
Why Oversight Is Difficult
When provision is outsourced, universities often struggle to:
Track what is being taught and how consistently, especially when delivered over multiple locations, times and using a vast range of acadmeic staff.
Assure the quality of learning outcomes across providers.
Prove that subcontracted students develop the same skills as those taught in-house.
Maintain a clear evidence base for regulators and auditors.
Traditional monitoring methods—like periodic reviews or manual reporting—aren’t enough in a world where regulators demand real-time evidence and comparable outcomes.
How SimVenture Strengthens Subcontracting Oversight
1. Real-Time Monitoring and Assurance
SimVenture Evolution, the online business simulation, gives universities a central dashboard to monitor student activity, decision-making, and outcomes. Whether students are taught internally or by a subcontractor, the lead provider can:
Track progress in real time.
Compare performance across delivery sites.
Confirm that learning outcomes are being met.
This provides transparency and governance aligned with OfS expectations.
2. Standardised, Measurable Outcomes
Every decision made in SimVenture—whether in finance, marketing, or operations—generates quantitative results. This creates:
Consistent benchmarks for assessment.
Comparable data across cohorts and subcontractors.
A defensible evidence base for regulatory compliance.
3. Evidence of Employability and Engagement
Independent research shows that SimVenture enhances employability skills, teamwork, resilience, and entrepreneurial thinking. For universities, this evidence demonstrates that subcontracted students are not just “being taught,” but are developing outcomes regulators care about.
4. Flexible and Scalable Integration
Because SimVenture can be embedded into modules of any size—online, hybrid, or face-to-face—it ensures equivalence of experience. Subcontracted students engage with the same simulation-based tasks and assessments as those in main campus programmes.
Strategic Value for Universities
By embedding SimVenture into subcontracted provision, institutions can:
Prove transparent governance of outsourced delivery.
Provide measurable evidence of learning quality.
Show accountability for outcomes across all student groups.
Guarantee equivalence of student experience.
Conclusion
The OfS consultation signals a shift: oversight of subcontracted provision will be judged by evidence, transparency, and comparability. SimVenture equips universities with the tools to meet these demands—while also improving student engagement and employability.
For institutions seeking not just to comply but to lead in governance and quality assurance, SimVenture offers a practical, future-ready solution.
Entrepreneurship has long been recognised as a vital driver of economic growth, innovation, and job creation. Yet, one of the challenges in building an entrepreneurial nation is ensuring that entrepreneurs are not just inspired, but also supported with structured learning pathways that help them to grow sustainable ventures. This is where the UK’s National Occupational Standards (NOS) for enterprise provide a valuable foundation.
Although originally developed nearly a decade ago, these NOS documents remain highly relevant today. They set out the core skills and behaviours entrepreneurs need – from scanning the business environment for opportunities, to engaging customers, managing ventures, and sustaining networks.
By mapping these NOS to the three proposed entrepreneurial apprenticeships – Level 4 (Starting a Business), Level 6 (Growing a Business), and Level 7 (Scaling a Business) – we can translate a set of legacy standards into a modern, practical framework for entrepreneurial development. This approach ensures that apprenticeship pathways are not only aligned with employer and learner needs, but also embedded in a recognised skills infrastructure that government and industry can support.
In this blog, I’ll show how each NOS element fits naturally into the journey of an entrepreneur, and how this mapping creates a clear, progressive route from startup through to scaleup success.
Here’s a draft mapping of the NOS titles to the stages of entrepreneurial apprenticeship:
Level 3 – Starting a Business (Foundation / early-stage venture skills)
Focus: discovery, opportunity recognition, validation, and establishing a viable startup.
Scan the business environment for enterprise opportunities (CFAENTI&TA1)
Make sense of enterprise opportunities and their compatibility with organisational priorities (CFAENTI&TA2)
Identify stakeholders for an enterprise venture and evaluate their needs (CFAENTI&TA4)
Develop a vision and goals for an enterprise venture (CFAENTI&TA5)
Identify customers and how to engage them in an enterprise venture (CFAENTP&DB2)
Level 5 – Growing a Business (Building operations, managing growth, developing resilience)
Focus: customer traction, managing operations, proving business models, and developing organisational capacity.
Manage an enterprise venture (CFAENTP&DB4)
Plan to deal with uncertainties, ambiguities and contingencies relating to an enterprise venture (CFAENTP&DB1)
Review and sustain networks to support an enterprise venture (CFAENTP&DB5)
Demonstrate the difference created by an enterprise venture (CFAENTM&RC2)
Level 6 – Scaling a Business (Strategic leadership, productivity, and impact)
Focus: innovation, impact measurement, leadership, and preparing for independence or exit.
Monitor and evaluate the difference created by an enterprise venture (CFAENTM&RC3)
Demonstrate the difference created by an enterprise venture (CFAENTM&RC2)(relevant here too at a deeper, strategic level)
Plan to deal with uncertainties, ambiguities and contingencies(applies at scaling stage in terms of strategic risk and resilience)
The UK economy thrives on entrepreneurship. Small businesses account for 99.9% of all enterprises and employ 16.7 million people, or 61% of private sector jobs (FSB, 2024). Yet the challenge is clear: while the UK is excellent at creating startups, too many fail too soon, and too few scale into productive, sustainable firms.
In 2023 alone, 841,000 new businesses were registered. But the reality is stark—20% fail within the first year, and 60% within three years (ONS, 2023). This churn represents a huge loss of potential jobs, innovation, and tax revenue.
A Coaching-Based Apprenticeship for Entrepreneurs could change this picture—transforming startups into scaleups, widening access to entrepreneurship, and delivering measurable returns for the UK economy.
The Case for Action
1. From Startups to Scaleups – Closing the Growth Gap
Research consistently shows that it is scaleups, not startups, that drive growth. Just 6% of firms that scale rapidly create over half of new jobs (ScaleUp Institute, 2023).
The UK’s productivity gap with G7 peers—around 16% lower (OECD, 2024)—is partly due to a “long tail” of low-productivity SMEs that never professionalise. By embedding structured coaching, mentoring, and skills development into the apprenticeship system, entrepreneurs can be supported not only to start but to grow and scale sustainably.
This approach directly addresses wasted effort, increases survival rates, and generates long-term tax revenues.
2. Widening Access – Entrepreneurship as a Driver of Social Mobility
Entrepreneurship is not just about economics—it’s about inclusion.
1 in 4 students is already running or planning to run a business during university (Santander Universities, 2023).
Yet only 5% of equity investment goes to all-female founding teams.
Black entrepreneurs face over 60% lower median turnover than White counterparts (British Business Bank, 2022).
For many groups—young people, carers, older workers, those excluded from traditional employment—entrepreneurship is a vital pathway to independence.
A coaching-based apprenticeship would level the playing field, offering funded access to mentoring, peer networks, and structured learning. It ensures that opportunity is not limited by background, geography, or personal circumstance.
3. Building Future Skills – Productivity and Innovation
Apprenticeships traditionally focus on technical or trade skills. But the modern economy demands more:
Strategic thinking
Resilience
Digital literacy
Innovation management
Poor management and leadership remain major contributors to the UK’s productivity lag (OECD). By formalising entrepreneurial development as a national standard, the government ensures founders are building not just businesses, but productive firms that innovate and compete globally.
The Economic Impact – A High-Return Investment
A recent economic impact assessment of the Apprenticeship for Entrepreneurs programme shows the scale of what’s possible.
3-Year Pilot Projection (1,000 apprentices recruited annually):
8,100 – 9,180 net new jobs created
£505m – £572m in annual Gross Value Added (GVA) by Year 5
ROI of £8.43 – £11.93 for every £1 of public investment
Wider Systemic Benefits:
Regional growth: Each cohort could inject hundreds of millions in GVA into regions outside London.
Innovation diffusion: Firms supported through coaching are more likely to adopt and spread new technologies.
Investor confidence: A pipeline of trained, mentored entrepreneurs de-risks early-stage investment.
Reduced economic drag: Higher survival rates mean less wasted capital, debt, and unemployment.
This is not a marginal policy—it is a game-changing intervention.
Why Government Support is Essential
Without government backing, the Apprenticeship for Entrepreneurs risks being an underutilised idea. With support, it can:
Maximise levy utilisation: Billions in unspent apprenticeship levy funds currently flow back to the Treasury unused.
Support levelling up: Creating viable businesses in every region, not just London.
Reduce welfare dependency: Making self-employment a supported, credible career path.
Boost competitiveness: Ensuring UK startups survive, scale, and thrive globally.
A Call to Action
The case is clear: this programme is more than an education policy—it is an economic growth strategy, a social mobility enabler, and a productivity booster.
For a relatively small investment, the UK government can unlock: ✔️ More jobs ✔️ Higher productivity ✔️ Stronger regions ✔️ Greater inclusion
It’s time to make entrepreneurship a recognised, funded career pathway. A Coaching-Based Apprenticeship for Entrepreneurs is the way to do it.
