An AI feature inside a product has to behave like the rest of the product: predictable latency, sensible failure, costs that do not scale alarmingly with success. We build the whole application — interface, data, model integration — so the intelligent part is a component with a budget rather than an experiment bolted on.
Artificial Intelligence & Generative AI
AI-Powered Applications
Products with AI inside them, engineered like products.
Overview
What the engagement covers
- Product and interaction design for the uncertainty AI introduces
- Streaming responses and graceful degradation when the model is slow
- Caching and batching to keep per-request cost sane at volume
- Fallback behaviour for when the model is unavailable
- Usage telemetry, so you learn what people actually do with it
What you leave with
- A feature that holds up under real traffic
- Unit economics that survive growth
- Failure modes a user can understand and recover from
Artificial Intelligence & Generative AI
The rest of this practice
AI-Powered Applications, scoped to your estate
Tell us where you are and what it has to be worth. We will come back with a scope, a sequence and a number.