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AI learning plan

Template id: ai-learning-plan

Responsible skill: learning-and-skills:ai-role-curriculum. Sections are completed with learning-and-skills:ai-skills-needs-analysis (section 2), learning-and-skills:ai-learning-pathway (section 3), learning-and-skills:practice-labs (section 5), learning-and-skills:learning-evidence-rubric (section 6), learning-and-skills:facilitator-guide (section 7), learning-and-skills:office-hours (section 8), learning-and-skills:advanced-pathways (section 9) and learning-and-skills:skills-measurement (section 10).

Use this plan for one organisation, business unit or rollout wave. Every fact the organisation must supply is marked [To confirm: ...]; replace the marker when the fact is confirmed, and never fill it with a guess. Example rows are fictional and are there to be replaced or deleted. Learning is verified by demonstrated practice, not attendance. All skills and learning data in this plan is reported at role or team level above the agreed minimum group size, and is never used to assess, score or rank individuals.

1. Plan details

FieldEntry
Scope[To confirm: organisation, business unit or wave]
Learning Lead[To confirm: name and role]
Sponsor[To confirm: name and role]
Linked adoption plan[To confirm: reference to the adoption-plan for this scope]
Linked Champions programme[To confirm: charter reference, or "none yet"]
Approved tools and agents by group[To confirm: reference to the approved list; never assumed]
Minimum group size for reporting[To confirm: agreed with the data protection lead]
Learning records retention[To confirm: agreed with the data protection lead]
Plan statusDraft / Agreed by sponsor / Superseded
Version, date and next review[To confirm]

2. Needs by role

One row per role and skill area with a gap. Skill areas: safe and approved use, verification, everyday productivity, working with agents, delegating work, building.

RoleFuture work with AISkill areaGap rating (None / Light / Substantial / Critical)Evidence and confidenceResponse typePriority this wave
Fictional example - account managerPrepares client meetings with Copilot summarising recent mail and documentsVerificationSubstantialSurvey and Champion observations; medium confidenceCurriculum module with practiceHigh
[To confirm][To confirm][To confirm][To confirm][To confirm][To confirm][To confirm]

Deliberately deferred this wave, and why: [To confirm]

3. Pathway levels

LevelWho it is forBehaviour at this levelExit evidenceOpen now?Level ownerReview point
FoundationEveryone with approved AI access[To confirm]Safe use and a verified output on a real, non-sensitive task[To confirm][To confirm][To confirm]
AppliedRoles with defined scenarios[To confirm]Rubric evidence on two role scenarios[To confirm][To confirm][To confirm]
ProficientFrequent users, team leads, people who help others[To confirm]A reusable pattern or delegated task a colleague has used[To confirm][To confirm][To confirm]
AdvancedMakers, power users, specialistsSee section 9Set by each track[To confirm][To confirm][To confirm]
Movement ruleEntry
Skipping a level by evidence[To confirm: allowed for all levels, or exceptions]
Equivalence with Champion capabilities[To confirm: agreed with the Champions programme owner, or "not yet agreed"]
Any level that is a condition of access[To confirm: sponsor decision with HR involvement, or "none"]
Refresher triggers[To confirm: for example a change in what people see, a new approved agent, a change to approved-use guidance]

4. Role curricula

Complete one block per priority role.

FieldEntry
Role and approximate headcount[To confirm]
Business owner who confirms the curriculum[To confirm: name and role]
Agreed learning time per month[To confirm: agreed with the business owner]
Working pattern and default formats[To confirm]
Pathway levels covered[To confirm]
Content owner and delivery owner[To confirm]
Review date[To confirm]
ModuleLearning outcome (observable work)ScenarioFormatPractice taskEvidence expectedTimeAccess confirmed?
Fictional example - Checking client summariesPrepares a meeting brief with Copilot and checks every date and figure against the sourceMeeting preparationLive session, practice on own work the same weekBrief for a real upcoming meeting, checked against the source documentsPrompt, output and check described, at Meets on the rubric[To confirm][To confirm]
[To confirm][To confirm][To confirm][To confirm][To confirm][To confirm][To confirm][To confirm]

Deferred modules and reasons (for example pending access or scenario not ready): [To confirm]

5. Practice environment

LabType (own-work / shared scenario pack / maker sandbox / specialist lab)PurposeLocation and who can reach itData allowedOwnerReset routineExpirySecurity review date
[To confirm][To confirm][To confirm][To confirm]Fictional or synthetic only, unless own-work practice[To confirm][To confirm][To confirm][To confirm, or "not required" for own-work practice]

Lab rules for learners (what may and may not enter, sharing limits, how to report a problem): [To confirm]

6. Evidence rubric

A level is evidenced when its required dimensions are at least Meets. Strong is used for feedback only and never creates a status.

DimensionNot yetMeetsStrong
Real workDemo or invented taskA task from the person's own role or an assigned lab exerciseA recurring task valued by the team
Safe useSensitive data shared, or an unapproved tool usedApproved tools only; nothing that should not have been sharedExplains what was deliberately left out and why
VerificationOutput used without checkingOutput checked against its source; the check is describedThe check is built into a reusable pattern
JudgementNo sense of limitsNotes where AI did not help or got it wrongExplains when they would not use AI for this task
TransferOnly the author could repeat itSomeone else could follow itA colleague has used it
Checking arrangementEntry
Who checks evidence at each level[To confirm]
Calibration rhythm and exemplars used[To confirm]
Submission route and access[To confirm: access-restricted route in governed storage]
What is recorded, and for how long[To confirm: agreed with the data protection lead]

Fictional example: a learner shows the prompt used to summarise a supplier contract, the summary, and a note that they compared every date and value with the contract and corrected one date. Verification is at Meets.

7. Sessions and facilitation

SessionModuleFacilitator guide referenceFacilitatorsRhythmPre-flight check ownerLast tested against current product
[To confirm][To confirm][To confirm][To confirm][To confirm][To confirm][To confirm]

8. Office hours

Format (open drop-in / themed / bookable / maker / embedded)AudienceRhythm and timeHosts and agreed timeBooking route
[To confirm][To confirm][To confirm][To confirm][To confirm]
Triage routeWhere it goes
Faults, access, licence not applied[To confirm: service desk route]
Suspected data exposure or inappropriate output[To confirm: security reporting route]
Ideas for agents, automation or scenarios[To confirm: intake route]
Licensing or data protection questions[To confirm: licensing owner or DPO]

Theme review owner and rhythm (themes recorded without names): [To confirm]

9. Advanced pathways

TrackAudience by declared roleEntry conditionsLearning environmentMentors and agreed timeEvidence to completeTrack ownerOpen now?
[To confirm: for example power user, agent maker, automation maker, developer, AI specialist][To confirm]Proficient evidence, approved access, maker commitments accepted[To confirm][To confirm][To confirm][To confirm][To confirm]

Route from a learning build into intake and release: [To confirm: agreed with platform governance]

10. Measures

All measures are reported at role or team level above the minimum group size in section 1.

MeasureDefinitionSourceBaselineTargetOwnerRhythm
Declared skills changeChange by skill area and role against the needs baseline, same survey wordingRepeat survey[To confirm][To confirm]Learning LeadEach wave
Verified evidence rateShare of each role with evidence at each levelAggregate evidence records[To confirm][To confirm]Learning Lead[To confirm]
ProgressionMovement between levels; time from access to foundation evidenceAggregate evidence records[To confirm][To confirm]Learning Lead[To confirm]
Link to adoptionAdoption measures for groups with high and low evidence rates, read as association onlyAdoption measures from the adoption lead[To confirm]Not targetedLearning Lead with adoption leadEach wave

11. Review and agreement

RoleNameDateComment
Learning Lead[To confirm][To confirm]
Sponsor[To confirm][To confirm]
Data protection lead (records, retention, minimum group size)[To confirm][To confirm]
Business owners of priority roles[To confirm][To confirm]

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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