Integration and MCP

AI connected to the systems you already run: CRM, accounting, scheduling, email

An agent is only as useful as what it can see and do. We connect models to your existing systems through their APIs and, where the tools support it, the Model Context Protocol, so an agent can look up a customer, create an invoice or book an appointment through the same rules a person would.

What we build

  • Connectors to the CRM, accounting, scheduling, email and document systems you use today
  • MCP servers that expose your systems to any capable model with permissions you set
  • Permission boundaries per action: read, draft, or write with approval
  • Logs of every call an agent makes into your systems

What you keep

  • Each connector documented with its permissions and its failure behaviour
  • Credentials stored on your side, never ours
  • A test harness so a future change to a system does not silently break the agent

Where it shows up

Trades and home services
The scheduling system, the accounting package and the phone system speaking to one agent
Professional services
Practice management, document storage and email connected under the firm's own access rules
Churches and nonprofits
The church management system, the giving platform and the calendar connected without another login to manage

Guardrails

We treat an agent that can act as a production system, because it is one. Every agent we deploy has these four things.

  • Defined task boundaries

    An agent does the job it was built for and nothing adjacent. The boundary is written down before it runs.

  • An audit log

    Every action the agent took, with what it saw and what it decided, in a log you can read.

  • A human approval step

    Anything that touches money or customer records waits for a person to say yes.

  • A rollback path

    If it goes wrong, there is a known way back, tested before launch, not improvised after.