Integrations

AI integration services for the tools you already run.

We build agents that live where your team works — not a new app to log into. These are the substrates we reach for most.

Adoption is the reason. An internal tool that requires a new login gets used enthusiastically for two weeks and then quietly stops, because it competes with the tab your team already has open. An agent that answers in the Slack channel where the question was asked, or writes to the CRM record someone was already looking at, doesn't have that problem — there is nothing new to adopt.

How we think about integration work

The platform decides more than the model does: Most of what makes an integration hard has nothing to do with AI. Slack wants an acknowledgement within three seconds. US SMS needs carrier registration before a single message sends. Supabase leaves row-level security off until you enable it. These constraints shape the build more than the choice of model, and they are where schedules slip.
Scoped credentials, never personal ones: Every integration runs on the narrowest credential the platform offers — a GitHub App installation token rather than someone's personal access token, a channel-scoped Slack install rather than workspace-wide history. This is what makes an agent defensible in a security review rather than an exception to it.
Writes are reversible or gated: Agents propose; people approve anything that can't be undone. Pull requests instead of pushes, drafted triage instead of closed tickets, flagged renewals instead of changed subscriptions. The existing review process stays the safety net rather than being replaced by a new one.
You own what ships: Self-hosted where it matters, portable where it can be. n8n runs on your infrastructure with your credentials; custom nodes are TypeScript in your repository. The test of a good integration is whether your team can change it after we're gone.