What a board needs to see before it approves an AI plan.
Micah Laughlin, Chief Strategy Officer · reviewed by Jeff Hardman · updated 2026-10-02
In short. A board approves an AI plan when every initiative carries a return target it can check and an order it can follow. FlightPlan™, Stratos Edge's six-week engagement, builds the plan around exactly those two things: a measured range for each move and the sequence to run them in, so the board's questions shift from whether AI pays to what comes next. What the board sees, in FlightPlan™, is four things: capacity moving from administrative work to growth, money moving faster through the business, quality rising with output, and each following decision resting on a measured result instead of a guess.
What the board sees.
FlightPlan™ shows the board the four things in the table below. Efficiency is the first result FlightPlan™ produces; reinvestment is the point of producing it. Every target in the plan is a range the board can hold the company to.
What the board sees
What the board sees
What it means
Capacity moves to growth
Hours that went to administrative work go to the work that grows the business. Staff expense sits where the company is going, not where it has been.
Money moves faster
Customers acquired, onboarded, and kept with less friction. Revenue flows, collections close sooner, and there is room to price differently.
Quality rises with output
A workforce whose capability grew with the tools. More produced, better made, delivered faster.
The next decision is easier
Each initiative approved on a measured benefit and reported on the same one. The board stops asking whether AI pays and starts asking what is next.
What the plan must contain.
FlightPlan™ contains a return target on every AI move, set in a range finance can check before any work starts, so a result can be compared against that range afterward rather than argued about in general terms.
FlightPlan™ contains the order to run those moves in, so the quick and certain gains come first and nothing waits on work that was never scheduled.
FlightPlan™ contains the name of who delivers each move, whether that is the client's own team or a partner Stratos Edge has evaluated against the client's objectives and technology stack.
The board version.
FlightPlan™ contains the board version: the same plan shown at the altitude a board reviews it at, so the board's questions shift from whether AI pays to what comes next.
In weeks 5 to 6, the client meets the delivery partners Stratos Edge has evaluated, and the plan is put in the form the board will review.
Where it stalls without a plan.
Stratos Edge Research, in Issue 0, names this problem Nobody signed the plan: in most organizations, no document exists that finance, IT, and operations would all put their name on.
Gallup, in its Global Indicator updated May 2026, reports that 25% of employees say their organization has communicated an AI plan, and three in four employees work somewhere with no communicated plan.
Where leadership has communicated a plan, employees are three times as likely to feel prepared to work with AI (Gallup, 2025).
In PwC's survey of 4,454 chief executives published in January 2026, 56% said AI had brought their company neither higher revenue nor lower cost in the past year; 12% reported both.
Stratos Edge Research tests the gap with one question: if the board asked for the plan tomorrow, what would you hand them, and who signed it?
In Stratos Edge Research's worked example, a plan passes one test: the board hands it back with a question and gets the same answer from three offices.
FlightPlan™ ends with a plan built for board approval, not a working document that stays in draft.
A one-page outline for the board.
In weeks 5 to 6 of FlightPlan™, the plan is put in the form the board will review; the headings below follow what the plan contains and what the board sees. This outline is not a downloadable file.
A return target on every AI move, in a range finance can check
The order to run the moves in
Who delivers each move
What the company has already started with AI, including what is working and what is stalled
Capacity moving from administrative work to growth
The measured result each following decision rests on
A board approves an AI plan when every initiative carries a return target it can check and an order it can follow. FlightPlan™, Stratos Edge's six-week engagement, builds the plan around exactly those two things: a measured range for each move and the sequence to run them in, so the board's questions shift from whether AI pays to what comes next.
A board wants to see four things in an AI plan: capacity moving from administrative work to growth, money moving faster through the business, quality rising with output, and each following decision resting on a measured result instead of a guess. Every target in a FlightPlan™ plan is a range the board can hold the company to.
An AI plan should contain, before it goes to the board, a return target on every AI move, the order to run them, and who delivers each one. FlightPlan™ sets each return target in a range finance can check before any work starts, so a result can be compared against that range afterward rather than argued about in general terms.
At the end of six weeks, a FlightPlan™ client has a plan the board can approve: a return target on every AI move, the order to run them, and who delivers each one, plus the research behind every partner introduced. Stratos Edge remains available for the following twelve months, so the client can refresh the plan and re-sequence it as results come in.
An AI plan stalls before the board approves it when no document exists that finance, IT, and operations would all put their name on, which Stratos Edge Research counts as one of the three leaks, no signed plan. Per Gallup (May 2026), three in four employees work somewhere with no communicated plan.
The board version of an AI plan is the same plan shown at the altitude a board reviews it at, so the board's questions shift from whether AI pays to what comes next. FlightPlan™ puts the plan in that form in weeks 5 to 6.