Are your people building capability - or dependency?
AI adoption without capability is a liability.
When AI does the work, your people lose the judgement to evaluate it. Madgwick builds that judgement alongside adoption - verified, not assumed.
Book a demo →How are you going with AI?
Copilot, Claude, Gemini, your own rollout - or nothing yet. Wherever you are, the demo starts from your answer.
Make the investment pay off.
Licenses are deployed; capability isn't. We train the judgement your people need on the tools you actually run - role by role - and verify it.
Book a demo →Start with training you already run.
Bring one course you already deliver - compliance, onboarding, induction. We rebuild it on Madgwick. You build nothing.
Book a demo →The job is moving. The training isn't.
AI is rewriting your teams' jobs faster than any curriculum can follow. Most workforce training was built for a slower world - annual modules, generic content, completion as the measure. The record says trained. Nothing says capable.
of workers' core skills are expected to change by 2030.
of office professionals have used AI tools at work they knew were against policy.
of workers need training by 2030 - and 11% are unlikely to receive it.
Sources: World Economic Forum, Future of Jobs Report 2025; PagerDuty Shadow AI Survey, 2026.
Training that drops your people into the room.
The only training that survives AI is training built from it - aimed at the skills that stay human. Employees step into simulated scenarios - competing agendas, real pressure, ambiguity - read the room, make the call and own the outcome. Set in your industry, not a generic one.
Skills that are real
Employees rehearse the hard conversations, the judgement calls and the edge cases - and are verified against the role.
Always current
Regulations shift, tools update, practice evolves. AI keeps courses current; your experts review and approve every change.
Built for working adults
Short 3-5 minute loops that fit around real workloads. Start anytime, personalised to each employee's role and context.
Already live
University units and AI skills training are already running on Madgwick inside a working public university.
Sovereign AI capability, built to public-sector standards.
Data sovereignty, governance and assurance of learning are non-negotiable. Madgwick delivers all three architecturally, not as afterthoughts. When it comes to your workforce's capability, the question is simple: do you trust it to a tech company, or to educators?
Data sovereignty
Single-tenant deployment, sovereign hosting in your jurisdiction, no external model training.
University governance
Built inside a public university under institutional governance - the standards and accountability procurement expects.
Assurance of learning
Verification that AI adoption is building genuine capability rather than creating dependency.
Procurement-ready
Security documentation is ready for review early in the conversation, not at the end.
When Madgwick says an employee is capable, you can act on it.
Behind every result: a multi-agent architecture - a learning experience your people work with, independent assessment of what they can demonstrably do, and human review of anything uncertain. The training can't be gamed, and every result carries an auditable evidence trail. That is what your training spend buys.