Agentic AI for Leaders
Decide where agents belong in your organisation, run the first pilots, and set who is accountable when an agent acts.
Is this your path?
This path is for decision makers who sponsor or approve agentic AI work and must answer for its results.
CIOs · CTOs · Chief Digital Officers · Chief Innovation Officers · Enterprise Architects · Technology Directors · Digital Transformation Leaders
If you lead a wider AI transformation, see our AI Leadership programme. This path focuses on agents that take actions, and on who decides what they may do.
- Pick the agentic opportunities worth sponsoring, and the ones to leave alone
- Plan a roadmap and run pilots that show real benefit
- Set decision rights and governance, and decide when to scale or stop
Your three levels
Each level is one working day. Take them in order, or start where your organisation is today.
Level 1 · 8 hours · Understand and chooseAgentic AI Strategy and Opportunities
See what agents can and cannot do for your organisation, and choose where to place your first bets.
A strategic opportunity portfolio, one leadership work product for your own organisation, and the sponsorship questions to ask your teams.
- What agentic AI is, and how it differs from chatbots and automation
- Where agents create value and where they add risk
- Ranking opportunities by value, risk and readiness
- The questions a sponsor should ask before backing a project
Level 2 · 8 hours · Apply and buildAgentic AI Roadmap and Pilots
Turn your chosen opportunities into a roadmap and a small set of pilots you can start and measure.
A prioritised roadmap, an operating-model and decision-rights outline, a pilot portfolio and a benefit plan.
- Sequencing a roadmap and the capabilities it needs
- Choosing pilots that are small, safe and worth measuring
- Who owns what: roles, teams and decision rights
- Planning benefits and the evidence you will report
Level 3 · 8 hours · Test and controlAgentic AI Governance and Decision Authority
Decide what agents may do on their own, what needs a person, and when a pilot should scale or stop.
A decision assurance record, a governance and authority map, a scale-or-stop decision and a review cycle.
- Setting what an agent may decide and when it must ask
- Accountability when an agent acts on the organisation's behalf
- Reading pilot evidence to decide: scale, fix or stop
- Regular reviews, escalation and keeping records
Function and sector editions
The same method, applied to one industry with its own examples and controls.
