Enablement
Training and adoption resources to build AI fluency across the People Team. Without this layer, even the best AI tools end up unused, misused, or used only by the early adopters who would have figured them out anyway.
Contents
| File | Purpose |
|---|---|
| hr-ai-literacy-curriculum.md | 4-module program for all People Team members (8 hours total) |
| HR-AI-Literacy-Curriculum.pdf | Visual presentation deck (23 slides), readable in any browser |
| HR-AI-Literacy-Curriculum.pptx | Editable PowerPoint version for adaptation to your organization |
| workshop-facilitator-guide.md | Logistics, pacing, resistance handling, and format adaptations for anyone facilitating the curriculum |
| adoption-playbook.md | The change management work that happens alongside training, stakeholder map, 90-day rollout plan, adoption metrics, and handling the first public failure |
Why enablement is the bottleneck
Most HR AI programs over-invest in tooling and under-invest in capability. The result: shiny pilots that don’t scale because the HR professionals who’d benefit either don’t know the tools exist, don’t trust them, or don’t know how to use them well.
This curriculum is the counterweight. It is built on three assumptions:
- HR professionals don’t need to understand the math. They need to understand the failure modes, hallucination, bias, scope drift, well enough to spot them.
- Hands-on practice with real HR work beats theoretical training every time. Module 2 is the hardest to deliver and the most valuable. Don’t cut it.
- AI resistance is rational until people experience the lift. Module 3 surfaces concerns instead of suppressing them. The best discussions happen when the room has range.
Delivery guidance
The curriculum is designed for facilitator-led delivery but can be adapted for self-paced use. Specific notes:
- Cadence: One module per week over 4 weeks, with async practice between sessions, is the highest-completion format.
- Audience mix: Don’t separate HR Tech from HRBPs from HR Ops. The discussion is richer with the full mix.
- Module 2 lab: Reserve real time for participants to work through prompts with their actual work. The lab is where confidence is built.
- Module 3 case studies: Substitute your organization’s own examples for the generic scenarios. Local cases land harder.
- Facilitator pairing: Where possible, pair an AI-enthusiastic facilitator with an AI-skeptical one. The conversation that produces, not the lecture, is what people remember.
Measuring program success
Track these against a baseline measured before launch:
- Tool adoption: % of People Team actively using approved AI tools weekly (target: 70%+ within 90 days of completion)
- Self-rated confidence: pre/post survey on “I can use AI tools in my HR work effectively” (target: +1.5 points on 5-point scale)
- Quality of prompt use: sample of prompts scored against the four-elements rubric from Module 2
- Escalation appropriateness: for any AI agent the team uses, are HR professionals correctly identifying when to override or escalate?
If completion is high but adoption is low, the gap is usually trust or workflow integration, not skill. Don’t add more training, investigate the friction.