Out of the prototype and into the operation.
The system in production: models, agents, retrieval over your own data, integration with what the company already uses. It ships with documentation and an operating manual.
What we build.
Models
Classification, probability, forecasting. Trained on your own data, tested before they decide anything.
Agents
They read documents, answer customers, prepare a decision. With human approval wherever you decide it belongs.
Retrieval over your own data
The AI answers with your data and cites where it came from — not with what it happens to think.
Integration
Inside the ERP, the CRM, the spreadsheet, the support channel. Without switching tools.
It goes into production, not into a demo.
Your team reviews every step while it is being built. Whatever goes live goes live with documentation, an operating manual, and someone on your side trained to run it, review it and correct it.
What this front does not deliver: a handsome prototype nobody can operate afterwards.
- Deterministic path and model path compared
- Human approval points defined
- Documentation and operating manual delivered
- Someone on your team trained to run it
Questions about this front.
Does the system go into production, or stay a demo?
Production. Your team reviews every step during the build, and whatever goes live goes live with documentation, an operating manual, and someone on your side trained to operate, review and correct it.
Does the AI decide on its own?
Not where you don't want it to. The agents carry human approval wherever you set it — they read documents, answer customers, prepare decisions, but who approves is agreed on beforehand.
Do we need to switch systems to integrate?
No. Integration happens inside the ERP, the CRM, the spreadsheet, the support channel you already use.
What does it cost?
The quote is fixed at the end of the diagnostic, front by front. There is no price list because no two projects are the same.