AI Transformation Strategy
[ ← AI Transformation Strategy ]

Illustrative example, Fictional data, Not a client result

A first board map for a 300-person distributor

What a first map can look like after early Consult hours: where AI already runs, what is known and how we know it, what is still a guess, and one first move worth making. The company and every figure are invented.

Before
Each pilot owner reports a success story. There is no list of what runs where, no baseline, and no agreed rule for what needs approval.
After
One page the COO can walk the board through: each area’s AI use, the evidence behind each claim with its date, the questions still open, and one reversible first move with an owner and a measure.

Inspect the sample

01 Input

The COO of Calder Wynn Supply, a fictional 300-person industrial distributor, has six weeks until the board asks for an AI strategy. Finance runs an invoice-matching pilot, sales bought two writing tools, support is testing a chatbot, and nobody has compared them.

How it moves

  1. Gather what already exists List every AI tool, pilot and vendor promise by department, with its owner and the data it touches. Nothing is scored yet.
  2. Date every claim Each statement about results gets a source and a date, or it is marked as an open question. A vendor’s case study stays a claim until your own numbers support it.
  3. Rank the open questions Order the questions by how much the answer could change the plan, against the cost and time of finding out.
  4. Choose a first move you can undo Pick one move with a baseline, an owner, a measure and a named approver. Moves that cannot be undone wait for the board.

02 Output

Board map, first draft (fictional)
AreaAI in use todayWhat we know (source, date)Open questionNext move and approver
Finance Invoice-matching pilot used by two clerks Pilot owner reports fewer weekly exceptions (pilot log, 12 Sep 2026; not yet checked) Does accuracy hold at month-end volume? Run one month-end in parallel; Controller approves
Sales Two writing tools, bought separately No usage data yet (no source) Which tool do reps actually use, and for what? Pull 30 days of usage; Sales VP decides
Customer support Chatbot test on the help page Vendor deck claims high deflection (Aug 2026; unverified) How many past tickets would it answer correctly? Score 200 past tickets offline; Support lead approves
People and HR Staff using personal chat accounts Staff survey mentions it (Sep 2026) What company data has been pasted in? Interim use rule; COO and counsel approve
IT and security Connected AI apps with no inventory Admin console lists 23 third-party apps (IT export, 3 Oct 2026) Which apps can read customer data? Access review; IT lead signs off

03 Review

Where a person decides

The COO reviews every line before the map leaves the room. A claim without a source stays an open question, and every next move names the person who must approve it before anything changes.

Limits of this example

Fictional company and figures. A real map depends on what your people can show and how quickly answers come in; a single block may cover one or two departments, not the whole company. Not legal or compliance advice.

See whether this fits your work, and what it would take.

Is this a fit? → Ask about a Consult block