Adding AI to an existing product: the real checklist
The fastest path to disappointment is to treat AI as a bolt-on feature.
Successful teams integrate AI the same way they integrate payments, auth, or analytics: as a product surface with clear outcomes.
The three things that matter most
1) Data contracts
- what data is allowed? - who owns it? - how is it retained and deleted?
2) Evaluation in production
- success metrics (precision/recall where relevant) - human feedback loops - drift monitoring
3) Cost control
AI workloads can balloon quickly. Treat cost as a first-class metric.
How PG Technologies helps
We build AI features that ship:
- product discovery and roadmap - architecture and data pipelines - secure integration - monitoring, cost controls and iteration
Sources
- State of FinOps 2026 (technology value management + AI spend as priority): https://data.finops.org/
Tags