Named decision
There is a real operating choice—not a request to “find some AI ideas.”
Evidence-led AI opportunity sprint
Choose the AI bet worth making. Before you fund the wrong one.
In two weeks, turn scattered ideas and vendor claims into three ranked opportunities, one pilot-ready workflow, and a defensible 90-day plan.
Two weeksFixed scopeStarts at $7.5KNo software commitment
Executive decision record
Opportunity shortlist · week 02
01Pilot candidate
Revenue or throughput constraint
02
High-friction operating workflow
03
Decision-quality bottleneck
ValueFeasibilityLearning speed
01When the sprint fits
Use it when the problem is choosing—not brainstorming.
The sprint works best when multiple opportunities are competing for attention and the organization needs a credible way to select, bound, and sponsor one.
Executive owner
Someone can act on the outcome and make the trade-offs visible.
Economic boundary
The team can estimate what delay, friction, or poor decisions currently cost.
02The engagement
A decision sprint, not an open-ended transformation program.
The work is deliberately bounded around opportunity selection and pilot design. That creates enough resolution to make a real investment decision without pretending every unknown has disappeared.
Frame the decision
Align on the operating constraint, sponsor, decision deadline, and economic boundary.
Build the evidence base
Combine company context, operator input, and comparable deployment evidence. Mark what is observed, transferable, or still assumed.
Rank the opportunity set
Compare options on value, feasibility, adoption, risk, and learning speed—not presentation quality.
Design the proof
Turn the leading opportunity into a pilot workflow and a 90-day executive action plan.
03What leaves the room
Useful artifacts built around one executive decision.
Every output shares the same evidence trail, assumptions, and operating constraints. You do not receive a pile of disconnected slides.
Three ranked opportunities
A decision-ready shortlist scored against value, feasibility, evidence, risk, and time to proof.
One pilot-ready workflow
A bounded operating design with actors, handoffs, data needs, controls, and success measures.
A defensible 90-day plan
Build-versus-buy guidance, ROI assumptions, risk treatment, sequencing, and executive decisions.
04Representative contexts
One method, adapted to the operating reality.
Playbook Atlas is not organized as three separate consultancies. The service stays consistent; the evidence, constraints, economics, and buyers change by context.
Not your industry? Bring us the decision. The fit review is designed to test the context before either side commits.
04Evidence standard
Every recommendation keeps its receipts.
We distinguish observed evidence from transferable patterns, working assumptions, and unknowns. That makes the recommendation easier to challenge—and safer to act on.
ClassMeaningConfidence
Observed
Direct company or deployment evidenceHighTransferable
Comparable context with explicit differencesMediumAssumption
Working hypothesis to test in the pilotOpenUnknown
Decision-relevant gap that remains unresolvedOpen30-minute fit review
Bring us the decision—not a polished brief.
Tell us where the operating question is stuck. We will assess whether the sprint is the right shape, what evidence already exists, and what would need to be true to proceed.
- A named operating problem or decision
- An executive or functional owner
- A reason the decision matters now