30 days · 20 minutes/day · HR-specific

Turn HR AI curiosity into safe workflow fluency.

A facilitated sprint for HR teams that produces reusable artifacts, final demos, adoption insights, and a CHRO-ready view of what is ready for redesign.

Preview exercisesSee cohort dashboard

Pilot format

✓ 25–50 HR participants
✓ Kickoff + weekly office hours
✓ Synthetic or approved examples only
✓ Race-day final demos
✓ Executive readout + readiness next steps

Choose an HR persona

Each path uses role-relevant workflows and risk reminders.

HR Business Partner

Manager coaching, org updates, talent discussions

Demo: Plant manager coaching prep with risk checklist

HR Ops / Shared Services

Policy answers, cases, process docs, KB articles

Demo: Attendance policy explanation using approved/synthetic data

HR Tech / Workday

Requirements, test scenarios, release notes, change impacts

Demo: Hourly workforce Workday test scenario generator

People Analytics

Question framing, insight narrative, exec-ready summaries

Demo: Turn survey findings into a decision memo

HR Leader

Executive updates, prioritization, governance, operating model

Demo: AI adoption readout for the CHRO staff meeting

30-day curriculum overview

Week 1

Set the HR Quality Bar

  1. Day 1: Generic vs standards-first HR prompt
  2. Day 2: Add HR context safely
  3. Day 3: Research before recommending
  4. Day 4: Catch AI mistakes
  5. Day 5: Teach AI strong HR writing
  6. Day 6: Troubleshoot weak output
  7. Day 7: Convert chat into artifact
Week 2

Build Your HR Context System

  1. Day 8: Role profile
  2. Day 9: Stakeholder map
  3. Day 10: Priority file
  4. Day 11: Policy guardrails
  5. Day 12: Manager support context
  6. Day 13: Weekly HR rhythm
  7. Day 14: Decision memo with context
Week 3

Design Your First AI-Assisted HR Workflow

  1. Day 15: Pick workflow
  2. Day 16: Map before/after
  3. Day 17: Draft skill prompt
  4. Day 18: Add human review
  5. Day 19: Estimate value
  6. Day 20: Test with synthetic scenario
  7. Day 21: Publish playbook draft
Week 4

Demo, Govern, and Scale

  1. Day 22: Select demo
  2. Day 23: Improve artifact
  3. Day 24: Peer feedback
  4. Day 25: Risk register
  5. Day 26: Adoption plan
  6. Day 27: Race-day rehearsal
  7. Day 28: Final demo and next roadmap

Day 1–7 exercise detail

Day 1

Generic vs standards-first HR prompt

See why quality standards matter before trusting AI output.

Risk rule: no confidential employee data; human review required.

20-minute flow

  • 5 min: ask AI for a generic manager coaching note
  • 8 min: give standards for empathy, specificity, legal caution, and manager actionability
  • 5 min: compare outputs
  • 2 min: save your HR output quality rubric

Prompt/activity

Draft a manager coaching note for a plant supervisor handling repeated late arrivals. Then rewrite using this standard: specific, respectful, policy-aware, no legal conclusions, clear next step, human review required.

Artifact

HR output quality rubric

Why this works

AI performs better when the quality bar is explicit; HR cannot rely on plausible generic drafts.

Day 2

Add HR context safely

Learn which context improves output without exposing confidential data.

Risk rule: no confidential employee data; human review required.

20-minute flow

  • List audience, workforce type, policy area, stakes
  • Replace sensitive facts with synthetic placeholders
  • Run the same task with context
  • Save persona/context card

Prompt/activity

Use this synthetic context: hourly manufacturing workforce, attendance policy, plant manager audience, high trust stakes. Draft an FAQ that avoids employee-specific details.

Artifact

Safe HR context card

Why this works

Good context narrows AI output; safe context protects employees and the company.

Day 3

Research before recommending

Ask AI to find patterns before drafting recommendations.

Risk rule: no confidential employee data; human review required.

20-minute flow

  • Ask for relevant practices
  • Separate evidence from assumptions
  • Draft recommendation
  • Mark sources to verify

Prompt/activity

Before recommending how HR should introduce a shift-change communication, identify common change communication risks in frontline workforces and what managers need to know.

Artifact

Evidence-first recommendation prompt

Why this works

Recommendations improve when grounded in patterns and checked evidence instead of first-pass language.

Day 4

Catch AI mistakes

Build a validation checklist for HR outputs.

Risk rule: no confidential employee data; human review required.

20-minute flow

  • Review sample flawed output
  • Mark legal/privacy/tone/process issues
  • Create checklist
  • Apply checklist to yesterday output

Prompt/activity

Review this draft for HR risk: accuracy, policy consistency, privacy, tone, bias, missing human review, and manager actionability.

Artifact

HR validation checklist

Why this works

HR users need inspection habits before productivity gains.

Day 5

Teach AI strong HR writing

Use examples to define a better writing standard.

Risk rule: no confidential employee data; human review required.

20-minute flow

  • Paste/summarize synthetic examples of strong HR writing
  • Ask AI to extract principles
  • Draft new update
  • Save writing standard

Prompt/activity

Extract the writing principles from these examples: direct, specific, respectful, action-oriented, clear accountability. Then draft a missed-hiring-target update for HR leadership.

Artifact

HR writing standard and example bank

Why this works

Examples convey judgment and tone better than vague instructions.

Day 6

Troubleshoot weak AI output

Learn a repeatable debugging loop.

Risk rule: no confidential employee data; human review required.

20-minute flow

  • Identify what is weak
  • Add missing context
  • Add success criteria
  • Ask AI to self-grade
  • Save troubleshooting checklist

Prompt/activity

Grade your answer against the rubric. What is generic, risky, unsupported, or not actionable? Rewrite after fixing those issues.

Artifact

AI troubleshooting checklist

Why this works

Fluency means iterating deliberately, not accepting the first answer.

Day 7

Turn one chat into a reusable artifact

Convert a useful AI conversation into a playbook entry.

Risk rule: no confidential employee data; human review required.

20-minute flow

  • Pick best prompt from week
  • Name input/output/review steps
  • Add risk note
  • Save as team library entry

Prompt/activity

Turn this conversation into a reusable workflow card with purpose, inputs, prompt, output, human review, and when not to use it.

Artifact

Reusable HR prompt/playbook entry

Why this works

Transformation starts when one-off AI chats become repeatable workflow assets.

Race-day final demo

Participants demo one before/after HR workflow: baseline pain, AI-assisted workflow, reusable artifact, risk controls, value hypothesis, and next step.

Before workflow
AI-assisted steps
Reusable artifact
Risk controls
Value hypothesis

Cohort/admin dashboard stub

Completion

82%

Day 1–7 pilot target met

Confidence lift

+31%

Self-rating movement

Artifacts

146

Submitted reusable outputs

Workflow leads

18

Candidates for readiness assessment

Adoption maturity

Avoidant 8% · Familiar 24% · Literate 44% · Fluent 18% · Workflow redesign ready 6%

Top opportunities

Manager coaching prep, policy explanations, Workday test scenarios, shift-change communications, analytics narratives.

Risk blockers

Approved tool access, sensitive-data rules, ER/legal review boundaries, inconsistent process documentation.

Sample artifacts

HR output quality rubric
Sensitive-data checklist
Manager coaching prep workflow
Workday test scenario generator
People analytics narrative template
Manufacturing shift-change FAQ
Final demo script
Workflow opportunity map

CEO-level next step

Validate with a 30-person HR pilot: kickoff, 30-day sprint, race-day demos, and CHRO readout that converts into a Digital/AI Readiness Assessment.