AI Integration

You have a product. You want AI to do something specific inside it. We help you figure out what that looks like, build it, and make sure users can actually work with the output. This is hands-on work, not a deck.

For teams adding AI to an existing product or workflow

AI Integration illustration

What this is

End-to-end design and development work for teams adding AI capability to an existing product. We start by scoping what AI should actually do — what the user needs, what the model can reliably deliver, and where those two things meet. Then we design and build the interface and integration layer that connects them.

This is not a strategy document or a proof-of-concept demo. It is the actual work of making AI functional inside your product in a way that holds up under real use. That means thinking carefully about the user-facing layer, the failure states, and the feedback loops that let users know when to trust the output and when to verify it.


What we do

What you get

Integration scoping A clear definition of what the AI feature does, how it connects to your product, and what the implementation requires — before any code is written.
Architecture input Guidance on model selection, API structure, and integration approach that fits your existing system and team.
Design and development of the AI-facing layer The actual interface and integration work — designed so users understand what the AI is doing, can act on its output, and can tell when to verify.
Iteration until it holds We stay through the edge cases, not just the demo. The engagement includes iteration cycles until the feature works reliably under real use conditions.

Good fit & not a fit

Good fit

  • You have a specific AI use case in mind and need design and development help getting it into the product correctly
  • You have tried to bolt AI on and found the result confusing or unreliable
  • You are a startup adding AI capability and want someone who has done this before and can move without a long ramp-up
  • Your AI features are technically functional but not landing well with users — the interface layer needs work, not the model

Not a fit

  • You need pure ML engineering, model training, or data pipeline work with no user-facing component
  • You do not yet have a product or workflow for AI to integrate into
  • You want a proof of concept or demo rather than production-ready work

What this looks like in practice

AI that holds up under real use.

Scope defined before work begins. No open-ended billing.

Email us about fit and timing

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