Traditional product roadmaps assume a world where features are either done or not done. Ship the feature, check the box, move on.
AI features are never done. They're live systems that degrade, improve, drift, break on new data, and need constant feeding. And your roadmap needs to reflect that.
TRADITIONAL ROADMAP AI ROADMAP
─────────────────── ──────────
Q1: Build feature Q1: Build feature + eval pipeline
Q2: Ship feature Q2: Ship to 10% with monitoring
Q3: Move on to next feature Q3: Tune based on prod data, expand to 50%
Q4: [Feature is done] Q4: Full rollout + ongoing quality investment
Q5+: Feature is NEVER done. Budget for
ongoing model updates, eval refreshes,
and quality maintenance.
If your roadmap doesn't have a line item for AI quality maintenance, your AI features will silently degrade and your users will silently leave.