Workshop
AI Executive Strategy Session
A structured decision session for 3–5 leaders from the same company. Not a lecture — not training. It is a facilitated internal decision meeting. Your team leaves with shared judgment on whether to proceed, how to proceed, and who owns what.
Training teaches you to judge; the AI Executive Strategy Session lets your team judge together.
Not training — a structured internal decision meeting
Mid-funnel — gives a management team a deep, hands-on experience of judgment so it naturally converts into a consulting engagement. The workshop is the entry; paid consultation is the exit. A focused executive session cannot solve every deep problem, but it can prove value, align the management team, and create the natural trigger to continue into consultation.
At a glance
Session facts
| Audience | 3–5 management leaders from the same company |
|---|---|
| Duration | Focused session length, scoped to the company's situation |
| Core value | Not training; a structured internal decision meeting. Leaders leave with consensus on whether to do it, how to do it, and who owns it. |
| Core difference | Training helps individuals judge; the AI Executive Strategy Session helps the team judge together. |
| Delivery | On-site in Hong Kong; virtual for clients outside Hong Kong. Cantonese-primary; English available on request. |
Prerequisite
Before the session, collect 1–2 AI problems the company most wants to solve, and use that company's real situation as the running case throughout.
Format & scope
A focused executive session, scoped to the company's situation. Includes pre-session intake, facilitated decision work, and a one-page leadership consensus document. If deeper work is needed afterwards, it can continue into a separate Consultation engagement.
Scoped and quoted after a discovery conversation.
Session method
An outcome-based executive process
Not a minute-by-minute timetable. Five stages, each with a clear purpose and a good outcome.
Diagnose the real AI opportunity
Clarify the company's actual problem, available data, constraints, and assumptions. Good outcome: the team understands what problem is being discussed and what would make it worth solving.
Align team strategy
Surface differences in leadership judgment and make assumptions visible. Good outcome: leaders understand where they agree, disagree, and what needs a decision.
Recommend feasible pathways
Compare possible paths such as build, buy, partner, pause, or do nothing. Good outcome: a practical shortlist of possible next paths.
Estimate cost, benefit, and risk
Discuss the full cost picture, expected benefit, hidden work, ownership, and exit conditions. Good outcome: the team avoids over-optimistic AI adoption.
Produce a leadership consensus note
Convert discussion into a one-page decision note. Good outcome: leaders leave with a shared next step, owner, success criteria, and exit condition.
Deliverables
What your team takes away
Feasibility scorecard
AI import feasibility assessment on your real problem
Vendor evaluation checklist
Five must-ask questions + red-flag checklist
Cost decision-tree notes
Preliminary build / buy / do-nothing judgment
Human-AI process sketch
Initial design for one workflow
One-page consensus document
Signed action decision by leadership
The anchor deliverable
The one-page consensus document is the bridge from this session into Consultation — a signed action decision by leadership.