AI is reshaping every knowledge-work function. The organisations that pull ahead aren't running more courses — they're creating real capability. There's a difference.
Your people complete the modules, pass the certifications, attend the workshops. And then return to their desks and work exactly as before — not because they weren't paying attention, but because nothing they did felt like their actual job.
Generic training fails because it's generic. Experience is the only thing that builds judgment. And until now, experience was the one thing L&D couldn't give people.
The difference
The distinction matters — especially when the bar for human judgment is rising, not falling.
Traditional approaches
✓ Autonomy for Organisations
What your employees experience
Every employee steps into a simulation built around your organisation — your data, your AI stakeholders, your challenges. Daily briefs arrive. Decisions need to be made. Stakeholders push back when the work isn't good enough.
Work doesn't advance until it meets professional standards. It's not a course. It feels like the job — because it's designed to.
Need the dashboard by Friday — active customers, revenue by segment, trend. Don't over-engineer it. I need something I can take to the board.
Before anything goes to the board, I need to understand the methodology. Stated assumptions, confidence intervals, sample size. Don't send something you haven't stress-tested.
You've been on the same brief for 48 hours. The CRO's concern is specific — look at your confidence intervals. What happens to your conclusion if the sample is 20% smaller?
How it works
You define what capability looks like. We build the environment. Employees navigate it at their own pace — working through real challenges, with AI stakeholders who respond in character and work that doesn't advance until it meets the bar.
Typically deployed in 4–6 weeks from first conversation. Scales across teams, divisions, and geographies.
What we need from you: A 2-hour configuration session, a brief on your team's context and goals, and access to anonymised data samples if using your environment. We handle the rest — no internal dev resource required.
Track library
Every track shares the same rigorous knowledge curriculum. What changes is the simulation — your data, your stakeholders, your company's challenges.
SQL, Python, data analysis, commercial judgment. Employees work inside your simulated business with real data and real stakeholder pressure.
Build real products with AI. Scope, design, and ship software using the tools closing the gap between idea and product.
Bridge technical teams and business strategy. Lead AI initiatives inside your organisation's real product context.
Identify where AI creates value, make the business case, lead implementation. Inside your company's transformation context.
Build the infrastructure that makes data useful. Essential to every AI-first organisation, deployed in your data environment.
From notebook to production. Build the models that power your organisation's AI — with the judgment to know when it helps and when it doesn't.
Employees can be assigned to a track or self-select, depending on your programme design. Multiple tracks can run in parallel across a single cohort. Working in a domain not listed? Talk to us — we build custom tracks for larger enterprise engagements.
Early results
We're early. Here's what participants and their managers are telling us.
The difference is that it doesn't feel like training. It feels like doing the job. We saw sharper problem structuring and stronger commercial judgment within weeks — analysts who can communicate results, not just report them. That's what we'd been trying to get from two years of conventional programmes.
I went from zero to querying production-scale data with confidence in weeks. But the bigger shift was everything they don't put in a job spec — how to structure an argument for a CFO, how to know when the data is the story and when it isn't. I didn't just learn analytics. I learned how to think like an analyst.
Measurable capability development tied to outcomes you defined before the programme started.
From pilot cohorts: participants reached job-ready output standards an average of 60% faster than equivalent classroom-based programmes. Assessed against competency frameworks agreed at kickoff.
Mastery-based progression means no wasted time. People advance when they've genuinely learned — and you can prove it.
Experience making real decisions in your company's context. The capability that shows up in performance, not certifications.
Competency scores, portfolio evidence, performance data — all tied to the outcomes you defined on day one. Not completion rates.
Every simulation is built for an AI-first context. Your people develop the capability to work alongside AI — not be replaced by it.
The simulation reflects your values, stakeholder dynamics, and decision-making culture. Development that reinforces who you are.
Top performers stay where they're genuinely stretched. A simulation built around real challenges tells them you're serious about their development.
Autonomy for Organisations is designed for cohort deployment — typically across a team, function, or division. Pricing is per employee, with configuration included. We'll give you a straight number in the first conversation — no three-week RFP process.
Comparable to mid-market enterprise L&D programmes. Typically a fraction of the cost of equivalent apprenticeships or bootcamp providers, with faster time-to-capability and measurable outcomes.
Whether you're at the early-thinking stage or ready to move, we'll meet you there.
No sales calls without permission. We respond to every enquiry ourselves.
Common questions
The simulation is designed to feel like real work, not a course — which is the main driver of engagement. We also share an employee launch pack and onboarding guide as part of every deployment.
You get a manager dashboard showing competency scores, progress, and portfolio evidence per employee. Export available for HRIS integration. We also provide a programme summary at the end of each cohort.
Pricing is per employee and depends on cohort size, track selection, and configuration complexity. We'll give you a number in the first conversation.
No. The simulation uses your data environment's structure and logic — not your production data. Anonymised or synthetic data works. Data security is straightforward to manage.