AI integration
The value of AI shows up when it works inside the tools you already use. We connect language models and agents to your systems, APIs and workflows, with a person approving the steps that matter.
The problem
People copy text between a chat window and the systems they work in. Pilots stay in a sandbox because nobody connected them to real data. And it is unclear which steps AI should do on its own and which need a human sign-off.
What we deliver overnight
- A working integration for one workflow (for example classifying incoming emails, extracting data from documents into your system, or drafting replies for approval)
- Connections to your APIs or a test copy of them
- A human approval step wherever the workflow changes data or contacts someone
- Tests that cover the expected inputs and the awkward ones
- A list of open decisions: model and provider, cost limits, error handling, who approves what
After the prototype
We harden the integration: authentication, rate and cost limits, logging, retries, and monitoring. Then we deploy it into your environment through a CI/CD pipeline, so changes are reviewed and repeatable.
Good fit if…
- Your team moves information between systems by hand
- You have APIs or data that a language model could put to work
- You want clear human approval points, not a black box
- An AI pilot is stuck and needs to touch real systems to prove itself