An assistant is only as useful as the data it can reach. Most companies can point one at a single tool. Cordango can point one at the company, because the capabilities already share the same records and the same permission model.
Connecting an assistant to one SaaS tool is easy and mostly useless, because the interesting questions cross tools. Which customers are unhappy and up for renewal. Who is available next month and has done this kind of work before.
Answering those elsewhere means building a data layer first: connectors, a warehouse, a semantic model, and a permission story you have to invent twice. Cordango already has one data plane with one permission model, so the assistant has something coherent to read.
The same company, the same permissions, three doors in.
Point an MCP-speaking assistant at Cordango and it can read and act across your capabilities, under the acting user’s permissions.
Every entity and every command is reachable programmatically, with the same authorization a person gets.
Ask questions and build your own views without leaving Cordango, over the company context you already have.
A key or an assistant session is bound to one user and one tenant. There is no back door that sees everything.
Cordango uses AI to turn a description into a working capability, and that is genuinely useful. It is not what the product is. The product is a shared company foundation with capabilities on top, and generation is one of four ways a capability gets there.
The distinction matters when something goes wrong. A generated capability is an ordinary Cordango application: a readable definition, the same permissions, the same audit trail, editable by hand afterwards. It is not a black box you have to regenerate in order to change.
Bring one you cannot answer today without two exports and a spreadsheet. That is the fastest way to see what one shared data plane is actually worth.