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AI Integration
Language and vision models integrated directly into existing products, workflows and business systems.
Grounded in your data, evaluated against your cases, monitored in production.
01When to bring us in
The problem, stated plainly.
- P.01
Answers exist in your documents, but finding them takes hours.
- P.02
Emails, PDFs and forms still need manual processing.
- P.03
An AI feature works in a demo but not reliably on real data.
02What we deliver
Scope, in concrete terms.
- D.01
Use-case assessment and evaluation set
- D.02
Retrieval pipeline over your documents and data
- D.03
Model integration in your product or internal tools
- D.04
Guardrails, access control and data protection
- D.05
Monitoring of quality, latency and cost
03How we approach it
Four steps, one team throughout.
- 01
Evaluate
Define what correct looks like, with real examples.
- 02
Ground
Connect the model to your data with access control.
- 03
Iterate
Measure against the evaluation set on every change.
- 04
Operate
Monitor quality, cost and feedback in production.
04Typical stack
Typical, not mandatory. Your existing stack comes first.
BeginAI Integration
Tell us where it hurts.
We will tell you what we would build.
A first call clarifies scope, risks and a sensible first increment. You leave with a plan either way.