AI Integration: Adding GPT and Claude to the Tools You Already Use

What AI integration means in practice — grounding models in your own data, keeping outputs reliable, and controlling cost.

Can AI use our own company data?

Yes. We use retrieval so the model answers from your documents and data rather than guessing, which makes outputs far more accurate.

How do you stop it making things up?

We ground responses in your data, validate outputs, and design flows so the AI defers or escalates when it is uncertain rather than inventing an answer.

Will AI costs get out of control?

No. We set up usage monitoring and cost controls so spend stays predictable and you can see exactly where it goes.