Enterprise learning · Global capability centres
Help your capability centre own AI work, not just deliver it.
Live, project-based learning with Sunil Mathew for GCC engineering teams taking on AI-agent design, build and review for the wider organisation.
From delivering work to owning it
Many capability centres are being asked to move from executing work defined elsewhere to owning products and platforms. AI agents raise the bar for that move.
The wider organisation needs confidence that the centre can decide what an agent may do, test it against the organisation's policies and explain its behaviour in an architecture review. Building the agent is only part of the work.
An example the group works through
Illustrative. The centre takes over an internal support workflow. The group builds an agent for it, applies approval rules, and tests what happens when a policy changes, an approval is missing or a request is repeated.
It then prepares the architecture review a senior stakeholder elsewhere in the organisation would expect: the boundaries, the evidence behind each decision, and the rollback plan.
You can start from an industry example. Confidential material is not needed for a first conversation; company-specific work, data access and any agreements are scoped separately. Any use of internal systems follows your organisation's own security and data policies.
Who takes part
- Engineers
build and test the workflow, including its failure and recovery paths.
- Architects and technical leads
examine permissions, state, evidence and handoffs as one system, and prepare the review.
- Engineering managers and centre leaders
practise the questions to ask before an AI system is approved, and who owns each decision.
L&D can coordinate nominations, scheduling and any internal approval process; the engineering sponsor sets the capability goal.
Led by Sunil Mathew
Sunil has 26 years of engineering experience, including past leadership roles at Google, Amazon and Walmart Labs. He has hired, developed and assessed senior technical professionals, and today builds agentic-AI products alongside consulting and teaching.
He has led engineering in large global organisations, so the learning connects technical decisions to the review and approval a wider organisation expects.
How a programme is agreed
A group normally has 8–10 participants, so everyone builds, tests and takes part in the review.
- Tell us about the group, its current work and the capability you want to develop.
- Discuss technical starting points, suitable practice and the learning scope with Sunil.
- Agree live hours, independent work, group size, schedule and fee in a separate proposal.
For a capability centre this often starts with one group from a programme or platform team, followed by further groups if the first works. Sessions are live and online; the schedule is agreed with you.
Funding one person instead? Compare the individual Agentic AI programmes. An employer can sponsor a place.
Not sure it's training you need?
If a current use case or architecture needs an outside review, see bounded advisory. For an organisation-wide view of AI readiness, see the AI Readiness Assessment.
Other organisations: Product companies · IT services companies · All enterprise learning
Discuss your centre's needs
Tell us about the centre, the team and the capability it needs to develop.