AI Features for Existing Apps

What it is

Most products don't need to become an 'AI product'; they need one or two features that genuinely save users time. This is that work: an assistant grounded in your own content, search that understands questions rather than keywords, or extraction that fills forms automatically — integrated into your existing codebase and interface, with cost, latency, and failure behaviour designed in rather than discovered in production.

How it works

1. 01
   Pick the feature that earns its cost

   Which user task AI would actually make faster, and whether the gain justifies the running cost — agreed before anything is built.

2. 02
   Integrate behind your existing backend

   The AI capability sits behind your own API with its own limits and logging, not called straight from the browser with an exposed key.

3. 03
   Design for when the model is wrong

   Sources shown, confidence thresholds, and a fallback path, so a bad answer is visible and recoverable rather than silent.

4. 04
   Measure it in production

   Usage, cost per request, and answer quality tracked after launch, so the feature gets tuned on real behaviour.

Benefits

• AI added where it saves users time, not everywhere it could go
• Running costs and latency known before launch, not after the first invoice
• Grounded, source-backed answers instead of confident guesses

Frequently asked