Three ways to build AI judgment in your leadership team.
Every engagement draws from the same three parts — training, workshops, and advisory. Start with whichever matches where you are now.
Executive AI Literacy
A structured programme that builds a working mental model of what AI actually does, delivered the way leaders learn best — through decisions, not definitions. No coding, no model architecture, no jargon that doesn't survive contact with a board meeting.
- Format: a cohort programme of short sessions, typically 4–6 across several weeks, or a compressed single-day intensive
- Audience: executive teams, boards, or mixed cohorts of senior functional leaders
- Outcome: a shared vocabulary and a working framework for evaluating any AI proposal that lands on your desk
- Delivery: on-site, remote, or a mix — built around your calendar, not a fixed curriculum
Applied To Your Context
Half- and full-day sessions that take the training framework and run it against your actual questions — the pilot already on the table, the vendor pitch your team can't evaluate, the policy gap nobody's owned yet. You leave with decisions made, not just concepts understood.
- Format: half-day (3 hours) or full-day (6 hours), single session or a short series
- Audience: a specific leadership team, committee, or board working through a live decision
- Outcome: a documented position — a go/no-go, a governance approach, or a set of criteria your team owns
- Delivery: in person is strongly recommended for this format; remote available where needed
Advisory When It Counts
Direct, ongoing advisory for boards and executive teams navigating a specific, higher-stakes AI decision — a governance framework, a major vendor selection, a public-facing position, or board-level oversight of an AI programme already underway.
- Format: a scoped engagement, typically weeks to a few months, or a standing advisory retainer
- Audience: boards, CEOs, and the executive committee members accountable for the decision
- Outcome: a defensible, board-ready position — with the reasoning behind it, not just a recommendation
- Delivery: a named advisor working directly with your team, not a report handed over at the end
Most engagements start with training or a single workshop
If AI hasn't yet forced a specific decision, start with training — it builds the shared foundation everything else stands on. If there's already a live decision on the table, a workshop is usually the faster path. Advisory tends to follow once the first engagement has found where the real stakes are.
Tell us where you are, and we'll tell you where to start.
A short conversation is enough to work out which of the three fits — no proposal required to find out.