Roadmap
Planning templates for HR AI transformation programs. These are not aspirational decks, they are working artifacts designed to survive contact with reality. Clean HRIS data isn’t, budgets get cut, executive sponsors change. The roadmap that works is the one that accounts for that.
Contents
| File | Purpose |
|---|---|
| transformation-roadmap-template.md | Phased 18-month roadmap with maturity scale, phase gate criteria, and KPI framework |
Why most HR AI roadmaps fail
Three patterns appear in nearly every failed program:
- Built from the wrong starting point. Plans assume Level 3 maturity when the org is at Level 1. The first 6 months get spent doing Level 1 work the plan didn’t account for, and momentum is lost.
- Optimized for ambition, not learning. Roadmaps front-load complex agentic use cases when the org hasn’t built the muscle for it. The simpler, lower-risk use cases that build credibility get deprioritized.
- No phase gates. Programs move from “pilot” to “scale” because the calendar says so, not because pilot results justify it. Scaling a use case that hasn’t been proven creates the failures that erode executive confidence.
This template is built to prevent each of those. It enforces an honest maturity assessment before planning, sequences phases by what builds capability fastest, and requires explicit phase gate criteria before scaling anything.
Start here
Before opening the template, three honest answers:
- Where are you actually on the maturity scale? Score yourself against Level 0–5. Most organizations are 1 or 2. Most plans pretend they’re 3 or 4. That gap is where roadmaps die.
- Who is your executive sponsor, and what do they need to see? A roadmap that the CHRO can’t defend in a CFO conversation is one that won’t get funded for Phase 2.
- What can you say “no” to? Roadmaps fail because they try to do everything. Scope discipline at the planning stage saves you from scope chaos at execution.
Adapting this template
The 18-month structure works for organizations with 1,000–10,000 employees and a dedicated HR Tech function. Adapt it for your context:
- Smaller organizations (<500 employees): Compress Phases 0–2 into 6–9 months. Skip the dedicated HR AI Champion network, assign it to existing HRBPs.
- Larger organizations (>10,000 employees): Extend Phase 2 by 3–6 months for regional rollout. Add change-management infrastructure between Phases 1 and 2.
- Highly regulated industries (healthcare, finance, government): Expect Phase 0 to take 3–4 months, not 2. Don’t fight it.
- Already at Level 3+: Skip ahead to Phase 2, but resist the temptation to skip the use case prioritization step. The use cases you’d pick from a Level 1 starting point are different from the ones that match where you actually are.
The phases, gates, and KPIs are reusable. The specific timelines and KPI targets need to be calibrated for your org.