30-point checklist
Revenue AI data readiness checklist
Revenue AI data is ready for governed action when the organization can name its sources of truth, resolve identities, define required fields, prove freshness, enforce permissions, trace lineage, monitor quality and recover safely. This checklist turns those requirements into evidence a GTM, data and IT team can review before widening agent permissions.
Readiness model
Prove seven foundations before granting action rights
The checklist is a deployment gate, not a generic data-cleaning project. Apply it to one bounded workflow and the exact records, fields and decisions that workflow needs.
NIST organizes AI risk work across govern, map, measure and manage, including documented roles, production monitoring, incident response and recovery. This practical GTM checklist uses the same lifecycle logic without claiming that a completed worksheet proves compliance.
Sources:NIST AI Risk Management FrameworkNIST AI RMF Core
- 01
Source
Name the authoritative system and accountable owner.
- 02
Resolve
Match people, accounts, opportunities and activities reliably.
- 03
Define
Document fields, stages, statuses and required values.
- 04
Protect
Constrain data and actions by role, policy and purpose.
- 05
Observe
Measure freshness, completeness, exceptions and evidence.
- 06
Recover
Stop, reverse or escalate work when a prerequisite fails.
Source map
Start with the records the workflow actually touches
For every input and output, record the system of record, object or table, business owner, technical owner, refresh expectation, permitted use and downstream write. A workflow is not ready when two systems can both be “right” without a documented precedence rule.
| Use case | Evidence | Owner question | Failure to test |
|---|---|---|---|
| Source of truth | Named system, object and field | Who resolves conflicts? | Two sources disagree |
| Identity | Matching key and survivorship rule | Who owns duplicates? | One person or account appears twice |
| Definition | Business meaning and valid values | Who approves a definition change? | Stage or status is used inconsistently |
| Freshness | Expected latency and last-updated signal | Who responds to staleness? | The feed stops or arrives late |
| Permission | Allowed roles, fields and actions | Who grants and reviews access? | A restricted field enters context |
| Lineage | Source references and transformation record | Who can explain the output? | A reviewer challenges the evidence |
30 checks
Review the checklist in five evidence groups
Mark each item ready only when an owner and evidence link are present. “Usually true” is not deployment evidence.
- Sources and identity: authoritative records, identifiers, duplicates, survivorship and relationship rules.
- Definitions and completeness: field meaning, valid values, required fields, historical coverage and exception handling.
- Freshness and lineage: update expectations, health signals, transformation history, evidence references and retention.
- Permissions and governance: least privilege, purpose limits, approval gates, sensitive fields and review cadence.
- Monitoring and recovery: quality metrics, alerts, fallbacks, rollback, incident ownership and change control.
Scoring rubric
Score evidence, not confidence
Use 0 for missing, 1 for informal or unverified, and 2 for documented and tested. The maximum is 60 points. Treat any failed critical gate—source of truth, permission boundary, approval rule or recovery path—as a stop condition regardless of total score.
| Use case | Interpretation | Next action | Permission posture |
|---|---|---|---|
| 0–29: Not ready | Foundations are missing or implicit. | Fix ownership and critical gates. | No production action rights. |
| 30–47: Pilot-ready | Evidence exists but gaps remain. | Run read-only or approval-gated tests. | Bounded scope with mandatory review. |
| 48–60: Ready to validate | Most controls are documented and tested. | Validate under production-like conditions. | Widen only after measured review. |
Next-step plan
Turn the lowest evidence group into a 30-day repair plan
Do not repair the entire data estate before proving one workflow. Prioritize the missing evidence that can change an agent decision or prevent safe recovery.
Days 1–10
Map and assign
Confirm sources, definitions, permissions and named owners for the selected workflow.
Days 11–20
Test and observe
Run representative records through freshness, completeness, identity and evidence tests.
Days 21–30
Gate and rehearse
Test approval, fallback, rollback and incident paths before granting wider action rights.
Downloadable template
Take the checklist into your readiness review.
The downloadable worksheet includes all 30 checks, scoring fields, evidence links, owners, critical-gate markers and a source-map template.
Frequently asked questions
Make the evidence reviewable.
The goal is not a perfect score. It is an explicit decision about what an agent may do, with which data and under whose control.
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