Set a live brief
Bring a real business problem. Learners work it through governed capstones and hand back a measured result.
For employers and sponsors
Turn your AI problem into the next generation's capability
Employers and sponsors sit inside the programme, not alongside it. You set the briefs, sit on the panels and hire from a pipeline shaped around your own work.
Workforce growth
Protect talent, repurpose skills and create new value
AI will change tasks, teams and roles. Employers need a practical way to help people adapt before change becomes displacement. AI Edge Skills helps organisations retrain, reskill and redeploy people into higher-value work while building the AI capability needed for growth.
Four ways in
Pick the level of involvement that fits
Shape the curriculum
Sit on the design panel and make sure the capability being taught is the capability you will hire for.
Upskill your colleagues
Put existing teams onto the same spine, so adoption is safe, consistent and visible to leadership.
Sponsor a cohort
Fund places, attach your brand to regional impact and see outcome data reported back against it.
What it takes
A clear, small commitment
Time
Roughly half a day a term on panels, plus a named contact for the brief you set.
Input
One real problem, the context around it and honest feedback on what learners hand back.
Return
A shaped talent pipeline, upskilled colleagues and a measured improvement in your own work.
Apprenticeships, levy and funded skills
Aligned to apprenticeships, funded skills and workforce development
AI Edge Skills is designed to align with existing education, apprenticeship and funded-skills routes rather than sit outside them. The pathway can support apprentices, T Level learners, college students, graduates, employees, people returning to work, people affected by AI-driven displacement and those not currently in education, employment or training.
For employers, this means AI Edge Skills can be shaped around existing skills investment, including apprenticeship levy-funded development where appropriate, employer training budgets, ESG and social value funding, regional skills funding, innovation funding and sponsored access.
Funding and eligibility depend on the college or provider, the relevant standard and the delivery model. Modules are levy-compatible, funding-ready and designed to align with funded skills routes where eligible.
Apprenticeships and levy
Modules can support apprenticeship learning, employer induction, workplace evidence and skills development where they align to relevant standards and funding rules.
Education pathways
Foundation to Gold can sit alongside T Levels, college programmes, degrees, masters programmes and continuing professional development.
Workforce reskilling
The pathway can support employees whose roles are changing through AI, helping organisations invest in responsible redeployment before displacement becomes a crisis.
Sponsored access
Partners can sponsor places, cohorts, sector modules or community programmes linked to regional growth, social value and inclusion.
Current sponsors
Organisations backing the programme
CGI
Technology and consulting sponsor
Enterprise AI adoption, secure delivery practice and client-facing digital transformation experience.
Ready to talk about a brief or a cohort?
Start in the partner hub. It lists founder partner routes, sponsor tiers and the live briefs already running on the programme.
Employers
Employers do not sit outside the programme
Employers, members and partners help shape the pathway continuously. They inform the skills being taught, the briefs learners work on, the evidence employers want to see and the vocational modules that follow. This keeps the programme close to the jobs, workflows and technologies that are changing fastest.
Employers help define what job-ready AI capability looks like. Their input shapes live briefs, vocational modules, portfolio evidence and advanced Silver and Gold pathways. This means learners are not only learning about AI. They are practising how AI applies to real tasks, real workflows and real organisational challenges.
| Involvement route | What it means |
|---|---|
| Live briefs | Employers bring real problems that learners can explore safely through guided projects |
| Skills-gap insight | Employers and members identify what is missing in current work-readiness and training |
| Module shaping | Partners help shape sector, function and vocational modules |
| Tutor feedback | Educators and tutors identify what works in delivery and assessment |
| Learner evidence | Learners show what they can do through portfolio outputs, reflections and projects |
| Sponsor input | Sponsors help extend reach, test relevance and support regional impact |
| Continuous review | Content evolves as AI tools, policy, roles and market needs change |
From insight to module update
How employer input becomes learning
Nothing an employer contributes stops at a conversation. Insight travels through a defined loop and comes back as updated content, briefs and evidence expectations.
The improvement loop
The programme is continually refreshed through a live feedback loop. Research and skills surveys show what is changing. Employers and members identify what is missing. Tutors turn that insight into teachable activities. Learners test the content through real tasks, projects and evidence. Sponsors and partners help scale what works. The result is a pathway that can keep pace with AI, Smart Data, labour-market change and sector-specific needs.
- Research and surveys
- Employer and member insight
- Tutor design
- Learner practice
- Evidence and feedback
- Module update
- Sector and advanced pathways
Proof of concept
25 learners, one representative starting point
The first proof of concept will run with 25 learners through a hybrid model across college, home and on-the-job settings. The cohort will include a mix of students, colleagues, apprentices, NEET learners and people affected by AI displacement in the labour market. Everyone will complete Foundation to establish a shared responsible-AI baseline. Most will progress into Bronze to test practical AI productivity and work-readiness. A smaller number will move into Silver and Gold activity, where advanced modules and projects can be shaped by partners, the delivery team and live market drivers.
The aim is not to prove the model only works for one group. The aim is to test how the pathway supports different starting points, different levels of confidence and different routes into work, reskilling and progression.
See the proof of conceptHow levels evolve
From baseline skills to advanced workplace relevance
Foundation and Bronze create a safe, practical baseline. Silver, Gold and future advanced modules are where employer and market input becomes increasingly specific. These modules can evolve around job roles, sectors, functions, partner needs, vocational routes, Smart Data policy, AI governance, automation, data-enabled services and project-led innovation.
- Silver modules can become more function-specific and vocational.
- Gold modules can centre on live projects, innovation, workflow redesign and employer challenges.
- Advanced modules can follow partner needs, sector change, regulation and new AI capability.
- Members and partners regularly feed in what is changing in the market.
- Learners work on evidence and projects that employers can recognise and inspect.
As the pathway matures, more specific vocational and sector modules can be added around partner needs, job roles and emerging market shifts. These may include Smart Data, open finance, AI governance, cyber and data protection, workflow automation, customer operations, SME productivity, public-service innovation and sector-specific AI adoption.
The demonstrator
See how the pathway works in practice
The portal is the working demonstrator behind the proposition. It shows the levels, sessions, module library and the evidence learners build. The public site explains why the programme matters. The portal shows how it runs.