// services — 01_integration

ai integration

AI connected to the systems you already run — CRMs, ticketing, data stores, internal APIs — with least-privilege access, auditable behavior, and no surprises.

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// scope

what we connect

your business systems

CRMs, help desks, ERPs, data warehouses — the systems of record AI needs to read before it can be useful.

open standards

Built on open integration standards like the Model Context Protocol (MCP) where they fit — so you’re never locked into one vendor’s glue.

guardrails & policy

Scoped credentials, allow-listed actions, and human confirmation in front of anything irreversible.

// deliverables

what you get

  • Connectors between your AI and your systems, scoped to the minimum access that works.
  • An access policy you can hand to your security team without flinching.
  • Logs of everything the AI read and did — auditable after the fact.
  • Evaluation and monitoring, so drift gets caught by dashboards instead of customers.
  • Documentation of every integration point and its failure modes.
// approach

how it runs

phase 1 — discover

inventory the stack

We inventory the systems, the data they hold, and who — human or AI — is allowed to see what.

phase 2 — build

integrate one seam at a time

Each integration proven in a sandbox before it touches production, wired up one system at a time.

phase 3 — harden

test the seams

The seams get security-tested, scopes get locked down, and the audit trail goes live before the integration does.

// next step

want ai inside your stack — safely?

Tell us which systems you want AI to reach and what you never want it to touch. Thirty minutes gives you an honest read on both.

Book a consult