A working AI teammate inside the tools you already use — and the plumbing that finally makes those tools talk to each other.
An AI agent is only useful if it’s wired into where the work lives. That means integrations — the unglamorous part most projects skip.
We start from the data and the handoffs, not from the model.
Which tools you use, what data lives where, and which handoffs are done by hand today.
We wire the integrations so data moves between systems reliably — including the awkward edge cases.
We define exactly what the agent handles, what it never touches, and where a human signs off.
It goes live in your stack, with documentation your team can actually use.
A chatbot answers questions. An agent does a job: it reads the inbox, sorts and routes the request, drafts the reply, updates the record, and flags what needs a human. It’s scoped to a task and wired into your tools.
The common business stack — email, CRM, spreadsheets, cloud storage, billing and payments, and most apps with an API. If a tool has no API, we’ll tell you that up front rather than promise around it.
Scope and guardrails. Agents get a narrow job, explicit limits, and a human approval step on anything consequential. Autonomy is earned on the boring work first.
Tell us which apps you use and where the copy-paste happens — that’s usually all we need to start.
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