AI integration with existing systems
AI integration with existing systems means connecting agents and models to the tools and data sources your organization already uses, so work flows between them with no manual export-and-paste. The result: AI acts on your real operation —not on a separate island— and respects the systems that already work.
The problem it solves
An organization's data and tools live in silos: the CRM doesn't talk to the ERP, the documentation sits somewhere else, and in between there are people copying and pasting. That friction is where hours are lost and errors slip in. On top of that, many AI initiatives fail right here: the model works in a demo but never reaches production because it was never connected to the real systems where the work happens.
What it solves, specifically
- Connecting AI to your CRM, ERP, document suite, databases and internal APIs using existing permissions.
- Removing the "export from one system and paste into another" as a manual step in a process.
- Giving AI agents access to your data and tools so they execute real actions, not just respond.
- Unifying scattered sources so AI answers with your information, not with generic knowledge.
How we build it
We apply the research → build → hand off method. We research your map of systems and where the friction is. We build the connections on open standards like MCP where it applies, in production, with human-in-the-loop wherever an action has consequences and traceability of every call between systems. Then we hand off the knowledge so your team can maintain and extend it. We agree on one business metric —process time, handoff errors, manual work removed— and measure against it.
Who it's for
Any function whose work crosses several systems: operations, finance, support, sales. Innovation or R&D opens the door, but the integrations are designed to serve the whole organization and for your people to govern them.
How we approach it at Codara
As your applied-AI partner, we start from your real architecture, not from a canned connector. Tell us the challenge and we'll design the integration around you: it can be a contained connection as a bespoke build or the foundation an Agentic OS is built on, one your team ends up running.
Preguntas frecuentes
Do we have to replace our current systems?
No. The AI connects to what you already have —CRM, ERP, document suite, databases, internal APIs— and works on top of it. The goal is to make your tools talk to each other, not to replace them.
Is it a one-off build or an Agentic OS?
A contained integration can be delivered as a bespoke build. When several systems and processes need to be coordinated, the integration is the foundation an Agentic OS is built on.