Designing an AI-Ready Roadmap
5 min read · Posted Aug 2025

AI works best when paired with sharp problem framing and reliable data. Here’s a quick path to value:
1) Start with outcomes
- Define 1–2 measurable business outcomes (e.g., ↑ activation by 5%).
- Map model influence to your metric tree.
2) Data readiness
- Audit coverage, freshness, bias, and feedback loops.
- Prefer simple baselines before fancy models.
3) Delivery
- Ship thin slices, add guardrails, collect human feedback.
- Measure counterfactuals with A/B or switchback tests.
Keep scope small, iterate quickly, and write the “user-facing math” clearly.

