AI Value Sprint
Identify where AI can create measurable value and which mission should move first.
Why this exists
Most organizations have too many AI ideas and not enough engineered missions. The Value Sprint is the structured way to stop generating slides and start producing the one mission worth building first — with a baseline you can be measured against.
of companies are “future-built” for AI — generating substantial value. BCG · 2025
What you get
01
Opportunity map
A ranked view of every candidate use-case — by economic value, feasibility, data readiness and operating risk.
02
Mission baseline
Clear pre-state metrics so the next mission has something to be measured against. Without a baseline there is no value capture.
03
First mission spec
Scope, working assumptions, success criteria and the team shape required to ship it.
How it runs
- Week 1
Frame
Executive interviews · workflow mapping · candidate use-case longlist · economic model.
- Week 2
Diagnose
Feasibility deep-dives · data readiness · constraint check · ranked shortlist.
- Week 3
Decide
Mission selection · baseline definition · scope writeup · partner sign-off.
In practice
“Before the Sprint we had eleven AI ideas competing for the same quarter. We finished with one, with numbers, and a team that could ship it.”
When to run this
Yes — when
- →You have multiple AI candidates and no engineered way to choose between them.
- →Leadership wants a measurable starting point, not another deck.
- →You’re committing real budget to AI in the next two quarters.
No — when
- →You’ve already chosen the mission and need to build — start with Workflow Automation.
- →You don’t yet have an executive sponsor for the work.
What comes next
The Sprint ends with one selected mission. Most teams move into a Workflow Automation Mission, and stand up a Decision Cockpit once two or more missions are live.