When the pressure expands, the decision layer needs evidence.

Decision Readiness is a scoped evidence path when AI pressure touches multiple people, budgets, vendors, workflows, data, governance, clients, or operating teams. It turns scattered pressure into source-backed signal, route options, and a decision package.

Use Decision Readiness when the decision deserves broader evidence.

The decision requires evidence from more than three stakeholders.

The decision touches multiple functions, teams, data surfaces, or workflows.

Vendor, platform, privacy, security, legal, compliance, or governance review is involved.

The output will influence budget, hiring, client trust, operating redesign, public claims, or a Decision Stack move.

The organization has AI activity already in motion but no clear map of what is working, exposed, duplicated, or premature.

Readiness is scoped after the first read.

Readiness is a deeper reference, not a public checkout path. It belongs after Signal Triage or Signal Briefing shows that the decision needs broader evidence before Capacity & Buildout or a larger commitment.

01

Focused decision domain

Defined business unit, route, pressure point, or operating surface when the evidence can be bounded tightly.

02

Cross-functional route evidence

Stakeholder, vendor, governance, workflow, data, spend, and timing evidence before a larger commitment.

03

Complex operating surface

Multi-unit, regulated, professional-services, or portfolio contexts where AI pressure crosses several teams or trust boundaries.

04

Readiness + Prototype option

A visible decision instrument can be added when seeing the route would materially improve the next move.

Final scope depends on access, stakeholder count, data exposure, governance surface, review depth, and what the decision owner must be able to see.

What gets made visible.

01

Decision Surface Map

The AI pressure, stakeholders, constraints, route options, and decision timing.

02

AI spend and exposure review

What is already in motion across tools, vendors, experiments, workflows, claims, training, or budget.

03

Governance gap map

Where permission, data, escalation, auditability, accountability, and human review are unclear.

04

Workflow readiness map

Which workflows can absorb AI now and which need redesign before automation.

05

Route and sequencing screen

Which route should move first, what should wait, and what must be sequenced.

06

Decision Stack package

A clear readout for the decision layer that has to act.

Make the next AI commitment visible.

Start with a focused read that makes the decision surface, evidence base, and next commitment visible.