01Input
Your operating reality
The constraint, economics, systems, decision owner, and deadline that make an opportunity real.
AI opportunity decision systemTwo weeks · fixed scope
Choose the AI move your business can prove. Say no to the rest.
Playbook Atlas is an evidence-led decision system for executives choosing where AI belongs in the business.
We combine your operating constraints with evidence from 1,600+ real-world solution reports, rank the field, and design one 90-day proof.
Company-specificStarts at $7.5KWorldwide
The system at work
Your backlog is forced through evidence, economics, ownership, and time to proof.
Many plausible ideas
Three ranked
One proof
01Leasing follow-up
02Matter intake
03Quality investigation
04Knowledge retrieval
05Resident triage
06Maintenance support
01
02
03
1bounded pilot
Decision velocityambiguity → proof
1,600+
Comparable AI solutions
3
Opportunities worth debating
1
Workflow designed for proof
90
Days to a real decision
What Playbook Atlas actually does
It sits between AI ambition and implementation. It decides what deserves to survive.
We do not begin with “Where can we use AI?” We begin with the operating constraint, the decision deadline, and the smallest proof that could change an investment decision.
The result is not an AI wish list or a vendor recommendation. It is a defensible choice: why this workflow, why now, what must be true, and how the business will know whether to continue.
02Input
Atlas evidence
Comparable solutions, workflow patterns, source quality, and the boundaries of what can transfer.
03Input
Decision method
Challenge assumptions, expose unknowns, rank alternatives, and make the trade-offs inspectable.
04Decision
One bounded pilot
A workflow, human controls, measures, owner, and 90-day sequence designed to earn the next decision.
Twelve examples from the live Atlas
See the evidence field. Then find what transfers.
1,600+
comparable solution reports in the wider evidence corpus
The point is not to copy a solution. It is to see how other operators match a specific constraint to sensing, judgment, workflow, and control—and where the analogy stops.
Sense earlier
Find the signal before the cost hits.
Decide under constraint
Keep the plan useful when reality moves.
Manufacturing
Master production schedule agent
Replan production as demand, supply, and capacity move.
Real estate
Real estate investment operations hub
Move underwriting beyond spreadsheets and inconsistent pricing.
Agriculture
Agricultural yield optimization workflows
Turn field signals into better yield and resource decisions.
Extend expert judgment
Compress the work without hiding the review.
Orchestrate service
Connect the next best action to accountable delivery.
These are live public Atlas examples—not fabricated customer case studies. Evidence quality and transferability are evaluated separately; no customer result is implied.
The evidence-led AI opportunity sprint
Four moves. One investment decision.
Each move eliminates a different kind of uncertainty. Every one leaves behind an inspectable artifact, so the recommendation can be challenged before capital and teams are committed.
01
Frame the decision
Align on the operating constraint, sponsor, decision deadline, and economic boundary.
Leaves behind
Decision frame
02
Build the evidence base
Combine company context, operator input, and comparable deployment evidence. Mark what is observed, transferable, or still assumed.
Leaves behind
Evidence ledger
03
Rank the opportunity set
Compare options on value, feasibility, adoption, risk, and learning speed—not presentation quality.
Leaves behind
Ranked shortlist
04
Design the proof
Turn the leading opportunity into a pilot workflow and a 90-day executive action plan.
Leaves behind
Pilot brief
Day ten
A decision package built to survive contact with operators.
The shortlist, workflow, and 90-day plan share one evidence trail. Strategy, ownership, controls, and delivery stay attached.
Deliverable 01compare
3
Three ranked opportunities
A decision-ready shortlist scored against value, feasibility, evidence, risk, and time to proof.
01Operating value
02Feasibility
03Evidence
04Adoption
Deliverable 02design
1
One pilot-ready workflow
A bounded operating design with actors, handoffs, data needs, controls, and success measures.
01
Signal
02
AI assist
03
Human gate
04
Action
Deliverable 03sequence
90
A defensible 90-day plan
Build-versus-buy guidance, ROI assumptions, risk treatment, sequencing, and executive decisions.
Day 0–30
Prove
Day 31–60
Harden
Day 61–90
Decide
Built to transfer
One method. Different operating realities.
We do not force every company through one industry story. The decision frame changes with the economics, controls, systems, and people doing the work.
Not your industry? Bring us the stuck decision. The fit review tests whether the method transfers before either side commits.
Test another context30-minute fit review
Stop collecting ideas. Make the call.
Bring the operating decision, deadline, and evidence you already have. Leave with a clearer boundary—and a candid sprint fit or no-fit answer.
Request a fit reviewNo generic sales sequence.
No software commitment.