Skip to main content
AI opportunity decision system

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 $7.5KA candid fit-or-no-fit answer

The system at work

The market spins the same reels at everyone. Evidence and your constraints stop them.

Week 01 → 02

Copilots, agents, chatbots — pitched everywhere, promised someday. The decision system stops the reels on one proven move with a 90-day proof, and ranks the top three alternatives against your constraints.

Many plausible ideas

One proof

1proven moveday 0 → 90

Three ranked · scored against your constraints

01Support deflection92
02Claims triage84
03Agentic coding assist71
Every cut has a reasonambiguity → 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.

01Input

Your operating reality

The constraint, economics, systems, decision owner, and deadline that make an opportunity real.

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.

EnergyLegalHealthcareTelecom
playbookatlas.com/solution/energy-asset-predictive-maintenance

Solution report · Energy

Energy asset predictive maintenance

Open →

01The problem

Failures announce themselves as downtime. Inspections run on the calendar, not on the asset.

Before · Calendar inspectionsWith AI · Condition-based alerts

02Solution spectrumquick win → platform

1
2
3
4

Quick win

start here

Production

full report

Scaled

full report

Platform

full report

L1 · Threshold alerts on critical assets — running in weeks, not quarters.

03Technologies & key players

Time-series modelsAnomaly detectionSCADA integration

04Use cases & transfer

Transfers to fleets, HVAC, grid assets. Stops where sensor coverage is thin.

Stylized anatomy · cycling four of 1,600+ live reports

Inside the Atlas

This is what a solution report looks like. Open one. Judge it yourself.

Every report documents a real operating problem, the before and after, a four-level build spectrum from quick win to platform, and the market around it — no vendor gloss, no invented case studies. Four industries are cycling on the left; the corpus covers thirty.

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.

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.

CodingSupportDocumentsForecastingRiskHealthcare
Legal
Manufacturing
Property
you?
Energy

evidence density: thin → dense · the method transfers, the cell is yours

Not your industry? Bring us the stuck decision. One call tests whether the method transfers before either side commits.

Test another industry

One 30-minute call

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.

Book the call

No generic sales sequence.

No software commitment.

The reels stop here.