Automation that thinks,
not just triggers.
Zapier moves data when a trigger fires. An AI agent looks at the data, decides what it means, and acts on it — closer to a process than a rule.
You've automated everything a rule can automate.
Now you're stuck on "it depends."
You've wired up the triggers a rule-based tool can handle, and you're still stuck doing the parts that require judgment: approvals, exceptions, anything that starts with "it depends." That's not a Zapier problem — it's a reasoning problem.
Great for the predictable 80%.
Fires reliably when the input matches exactly what the rule expects.
- Can't handle an invoice that's slightly out of format
- Can't decide whether an exception is worth escalating
- Breaks silently, and nobody notices until it's a problem
Handles the 20% that needs judgment.
Reasons about the exception the way a person on your team would.
- Reads the out-of-format invoice, extracts what it needs anyway
- Decides whether the exception needs a human, and routes it
- Logs everything it did and why, so nothing breaks silently
Agents that handle
the judgment calls.
Approvals, document review, cross-tool reconciliation, status reporting — automated with an agent that reasons about each case, escalating to a human only on genuine exceptions.
- Workflow audit and automation map (optional first step)
- Agent design and deployment for the workflow you scope
- Integration with your existing stack — no rip and replace
- Reporting on what the agent handled vs. escalated
Start with an audit,
or go straight to a build.
If the highest-ROI workflow is already obvious, we scope it directly. If you're not sure where to start, a 1-week automation audit maps it first.