Data spread across many systems
Customers in the CRM, orders in the shop, pricing in the ERP and contracts in a file store.
None of it was designed to be read by a machine, and pilots stall here far more often than they stall on model quality. We do that work rather than route around it: connectors into the systems you run, a clean surface for reading and writing, and the data hygiene that decides whether any of the rest works.
The problem
Customers in the CRM, orders in the shop, pricing in the ERP and contracts in a file store.
Different schemas, inconsistent records and access that was designed for people, not software.
Most AI projects fail on getting to the data, not on the quality of the model.
Deployment follows your policy, not ours. The questions your security team will ask are answered in full.
How it works
Every system involved, how it is accessed, and what state its data is in.
Read or read and write, with the narrowest access each job needs.
One consistent layer for AI to read from and write to, without changing your systems of record.
Monitoring and maintenance as your systems and their APIs change.
What it looks like running
Where it fits
Salesforce, HubSpot, Dynamics, Zendesk and Intercom, read and written safely.
Shopify, custom catalogs, SAP and internal pricing systems connected without migration.
File stores, databases and internal APIs made available to AI with access you control.