Ambeone's Agentic AI for Leaders is part of our in-person AI and Data Science training delivered across Dubai, UAE, KSA and Qatar.

Agentic AI  /  Leaders
Agentic AI path · For Leaders

Agentic AI for Leaders

Decide where agents belong in your organisation, run the first pilots, and set who is accountable when an agent acts.

3 levels · 8 hours eachNo coding neededIn-person at JLT · max 8 seats

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.

By the end of this path you can
  • 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.

You will leave with

A strategic opportunity portfolio, one leadership work product for your own organisation, and the sponsorship questions to ask your teams.

Prerequisite: none. No technical background needed.
What you will learn
  • 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.

You will leave with

A prioritised roadmap, an operating-model and decision-rights outline, a pilot portfolio and a benefit plan.

Prerequisite: a list of opportunities for your organisation. Level 1 is the natural lead-in.
What you will learn
  • 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.

You will leave with

A decision assurance record, a governance and authority map, a scale-or-stop decision and a review cycle.

Prerequisite: a pilot running or planned. Level 2 is the natural lead-in.
What you will learn
  • 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.

Common questions

Do I need a technical background?
No. The path is built for decision makers, and technical terms are explained in plain language.
How is this different from the AI Leadership programme?
The AI Leadership programme covers leading AI change broadly. This path is about agents that act, and who is accountable for what they do.
Can I take just one level?
Yes. Each level is a full day and stands on its own if you meet its prerequisite.
Can our leadership team attend together?
Yes. Ask us on WhatsApp about a private session for your leadership team.
Not sure which level fits you?
Tell us where your organisation is today and we will suggest where to start and the next batch.
Chat on WhatsApp
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