// AI Integration
AI Integration Services
AI integration services add AI to the product and systems you already run, without destabilising what works. We integrate LLMs, RAG and AI services behind clean interfaces in your existing codebase, with the cost controls, security and fallbacks that keep the rest of the system reliable when a model is slow, wrong or unavailable.
Is this you?
- You have a working product and want to add AI features to it, not rebuild it.
- You need AI wired into your existing stack, data and auth, cleanly.
- You're worried about cost, latency or reliability once a model is in the critical path.
What you get
Clean integration
AI added behind well-defined interfaces in your existing codebase, so it's testable and swappable rather than tangled through everything.
Provider and model selection
Help choosing and wiring in the right models and providers, with the freedom to switch as the landscape changes.
Resilience and fallbacks
Timeouts, retries, caching and graceful degradation so a slow or failing model never takes the rest of your product down.
Cost and security controls
Rate limiting, model tiering and untrusted-input handling so the integration stays affordable and safe in production.
How we work
- 01
Review your stack
We learn how your product is built so AI slots in along clean seams instead of cutting across the architecture.
- 02
Design the interface
Define where the model sits, what it's allowed to do, and how the system behaves when it's slow or wrong.
- 03
Integrate and test
Wire it in with tests, evals, caching and fallbacks, keeping the model off the critical path where it doesn't belong.
- 04
Ship and monitor
Roll out behind monitoring and cost alerts so you see latency, spend and accuracy from day one.
// FAQ
Frequently asked questions
Adding AI to an existing product cleanly: choosing the right models and providers, wiring them in behind well-defined interfaces, and building the cost controls, security and fallbacks that keep the rest of the system reliable. The aim is to add capability without destabilising what already works.
Usually, yes. Most AI features integrate along clean seams in your existing codebase behind clear interfaces, so the model is testable and swappable rather than tangled through everything. A full rebuild is rarely necessary just to add AI.
We design for that explicitly with timeouts, retries, caching and graceful degradation, and we keep the model off the critical path wherever a feature can work without it. A slow or failing model should degrade one feature, not take down your product.
Model tiering routes easy calls to cheap models, caching avoids repeat work, and rate limiting caps runaway spend. We model running cost at your real volume before integrating, and ship with cost alerts so a surprise shows up in hours, not at the end of the month.
Want AI in your product without the risk?
We'll integrate it cleanly, with the cost controls and fallbacks that keep everything else reliable.