Start with the problem, not the model
The best AI features begin with a real user pain point: slow support, hard-to-find content, repetitive manual work. If you can't name the problem, you're adding AI for the demo, not the user.
Where AI earns its place
Smarter search and discovery
Semantic search and recommendations help users find what they need faster than keyword matching ever could.
Assistants and chat
A well-scoped, retrieval-augmented assistant can answer questions from your own docs with citations — and hand off to a human when it isn't confident.
Quiet automation
Summarizing, tagging, drafting, and classifying are unglamorous but high-value. They save real time without putting AI front and center.
Ship it like real software
- Ground responses in your data with retrieval, not just prompts
- Evaluate quality with a test set before and after changes
- Add guardrails, fallbacks, and clear "I'm not sure" behavior
- Monitor cost, latency, and accuracy in production
The takeaway
AI is a tool, not a strategy. Used deliberately, it makes products noticeably smarter. Used carelessly, it adds cost and erodes trust. Aim it at a real problem, measure it like any other feature, and ship it with the same rigor.