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U.S. Department of Labor Registered Apprenticeships in data, cybersecurity, and AI roles.
Develop the technical skills that Fortune 500 enterprises and the public sector want.
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Enterprise AI Enablement · Tier 3 · Leadership
If a leader has not built with AI, they do not have the judgement to fund it, scope it, or kill it. Our executive programmes put senior leaders in front of the tools on their own work, then build the capabilities that leadership of AI actually requires.
What it is: an immersive programme for C-suite, SVPs, and department heads, from a half-day in-person workshop to a multi-session journey. Leaders work hands-on with AI on problems they own, then develop nine leadership capabilities organised by lifecycle stage: identifying opportunities, measuring value, scoping solutions, directing AI systems, designing pilots that can fail, governing within constraints, designing delivery teams, leading adoption, and stewarding the portfolio. The session output is an AI Enablement Charter: priorities, sponsored use cases, and resourcing decisions. A three-hour Agentic AI for Business Leaders variant is available for leadership teams new to agents.
Because sponsorship, resourcing, and permission flow from leaders, and leaders cannot make those calls on second-hand understanding.
In the workflow-redesign cohorts we run, the most-cited barrier is not tooling or skill but time to learn and experiment, and that is a resourcing decision only leaders can make. Executive programmes exist to give leaders first-hand intuition quickly, so they can sponsor the right use cases, protect the time, and judge results when they arrive.
C-suite, SVPs, department heads; 15–75 participants
Half-day immersive workshop (in-person preferred) or a multi-session journey; hands-on demos and building throughout
Agentic AI for Business Leaders: a three-hour session for leadership teams with little exposure to agents
Tool-agnostic; delivered on the client's AI stack
AI Enablement Charter: priorities, sponsored use cases, resourcing decisions
Cascades through personal fluency, workflow redesign, leading teams, and portfolio leadership
Five principles. Four are about leadership behaviour, not technology.
Leaders work with the tools on their own problems before they evaluate anything.
Sessions are closed, peer-only, and designed so that not knowing is the expected starting point.
Each leader leaves with a coach and a peer who will check on commitments.
The capabilities are durable; the tools are not. We teach the former and demonstrate on the latter.
Adoption is earned by visible personal practice, not delegated.
Each is stated as something a leader must be able to do, organised by the stage of an AI initiative where it is exercised.
Form your own view of where AI can and cannot change the work you own, and sequence what to pursue.
Commit capital on a defensible estimate, make the case for it, and hold the bet to that estimate.
Decide how far AI reaches into the work, how much autonomy it gets, and what you build versus buy.
Direct a system on real work, read what it hands back, and know when to trust it and when to escalate.
Design a test that can actually fail, and commit in advance to the evidence that would make you stop.
Design within legal and ethical limits, and decide where the institution can afford to be wrong.
Staff the team that builds and runs the bet, and decide what runs centrally versus in the business.
Earn adoption through your own visible practice, teach it to your team, and lead the people whose roles change.
Weigh your bets against your peers', reallocate as evidence arrives, and kill one when the evidence says so.
Targets differ by persona. Executives are expected to reach authority on opportunity identification, value measurement, and portfolio stewardship; proficiency on scoping, pilot design, and governance; and awareness on the rest. The technical and human halves of each capability run through every one of them rather than dividing the list.
A three-hour working session for leadership teams who have heard about agents and have not yet directed one.
Leaders see agentic workflows demonstrated on business problems from their own industry, then direct an agent on a task they own, with a coach alongside. The session closes on scoping questions (how far should the agent reach, what must a person still decide, what evidence would stop the pilot) and produces two or three candidate use cases for the organisation's pipeline. It is designed for leaders who were left behind by a vendor demo and need a working understanding before a funding decision.
An AI Enablement Charter, written in the room.
The charter records priorities, the use cases each leader will sponsor, the time and resources they commit, and the evidence that will define success. It becomes the brief for the workflow-redesign cohorts and Champion programme that follow, so the enterprise programme starts with leadership decisions rather than training requests.
A hands-on programme for senior leaders that builds first-hand understanding of AI tools and the leadership capabilities needed to fund, scope, govern, and steward AI initiatives. It is not a technology briefing; leaders build with the tools on their own work.
From a half-day immersive workshop, in person where possible, to a multi-session journey over several weeks. A three-hour Agentic AI for Business Leaders session is available for teams new to agents.
Opportunity identification, value measurement, solution scoping, directing AI systems, pilot design, governance and constraints, delivery team design, adoption and workforce leadership, and portfolio stewardship, organised by the stage of an AI initiative where each is exercised.
The output of the executive session: documented priorities, the use cases each leader sponsors, resourcing commitments, and the evidence that will define success. It becomes the brief for the enablement programme that follows.
No. The capabilities are tool-agnostic and the session is delivered on the client's own stack, whether Copilot, Gemini, Claude, ChatGPT, or a combination.
Pre/post confidence across the nine capabilities, decisions documented in the charter, and downstream activation: sponsored use cases that reach pilot, and time protected for teams.
We run discovery calls with sponsors before every executive session to tailor the demonstrations and the charter to your priorities.