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Knowledge readiness report

Template id: knowledge-readiness-report Responsible skill: knowledge-management:knowledge-readiness-assessment

Use this report to give a sponsor an evidence-based view of how ready the knowledge estate is for Copilot and agents, domain by domain, and what must change. Rate only what the evidence shows; a dimension without evidence is recorded as "not assessed", never as a pass. Every fact the organisation must supply is marked [To confirm: ...]. Example content is fictional and is there to be replaced or deleted.

1. Assessment details

FieldValue
Scope (business units, domains)[To confirm: scope]
AI uses this assessment informs[To confirm: Copilot rollout wave, named agents, or both]
Decision the report supports[To confirm: go or no-go, funding, wave sequencing]
Sponsor (role)[To confirm: role]
Assessors (roles)[To confirm: roles]
Fieldwork dates[To confirm: dates]
Previous assessment[To confirm: none, or reference and date]
Repeat date agreed[To confirm: date]

2. Summary for the sponsor

DomainAI uses depending on itVerdict (ready, ready with conditions, not ready)Main reason
HR policy (fictional example)Absence policy agent; Copilot HR scenariosReady with conditionsTwo competing versions of the absence policy; owner agreed to archive one
[To confirm: domain][To confirm: uses][To confirm: verdict][To confirm: reason]

Overall position: [To confirm: one paragraph; the estate verdict is never better than the verdicts of the domains the planned AI uses depend on]

3. Ratings by domain

Rate 1 (not ready) to 4 (ready). Cite the evidence reference for every rating.

DomainOwnershipCurrencyAuthorityFindability and structurePermissionsClassificationLifecycleEvidence refs
[To confirm: domain][To confirm: 1-4][To confirm: 1-4][To confirm: 1-4][To confirm: 1-4][To confirm: 1-4][To confirm: 1-4][To confirm: 1-4][To confirm: refs]

Verdict rules: ready (no dimension below 3); ready with conditions (no 1s, every condition owned and dated); not ready (a 1 on ownership or permissions, or two or more 1s elsewhere).

4. Evidence log

RefEvidence (report, sample, hand-checked question, owner interview)DomainDimensionWhat it showed
E1[To confirm: evidence][To confirm: domain][To confirm: dimension][To confirm: finding]

Roles interviewed (roles only, never names): [To confirm: roles]

5. Systemic findings

The three to five findings that explain most low ratings.

RefFindingDomains affectedConsequence for AI answers
S1[To confirm: finding][To confirm: domains][To confirm: consequence]

6. Blind spots

Not assessedWhyEffect on confidence
[To confirm: for example personal drives, connector sources, third-party systems][To confirm: reason][To confirm: effect]

7. Remediation plan

ActionTiming (before wave, alongside adoption, longer term)Owning roleSkill that carries it outDue
[To confirm: action][To confirm: timing][To confirm: role][To confirm: for example knowledge clean-up, owner model, site design][To confirm: date]

8. Referrals

FindingReferred toRisk tierStatus
[To confirm: oversharing or personal data finding][To confirm: security and privacy reviewer][To confirm: tier][To confirm: status]

9. Baseline measures

MeasureBaselineTargetOwner (role)
Share of in-scope domains rated ready[To confirm: value][To confirm: target][To confirm: role]
Share of AI-dependent sources with an accepted owner[To confirm: value][To confirm: target][To confirm: role]
Share of sampled questions with one authoritative answer[To confirm: value][To confirm: target][To confirm: role]

10. Sign-off

RoleNameDate
Knowledge Manager[To confirm: name][To confirm: date]
Sponsor[To confirm: name][To confirm: date]
Security and privacy reviewer (from risk tier 2)[To confirm: name][To confirm: date]

Credit: Template from CopilotForge by Simon Foote (https://github.com/SimonFoote-greensparx/CopilotForge), licensed under CC BY 4.0. Keep this credit when you share or adapt the template; in your own completed document you may keep it as a footer or remove it.

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