Most “automation” breaks on the first exception.
Rules-based automation handles the happy path and drops everything else on a person’s desk. Agents can handle the messy middle — unstructured emails, inconsistent documents, judgement calls — but only if they are scoped, tested and supervised properly.
Capabilities
Document & email intake
Read orders, invoices, claims and requests in any format and turn them into structured, checked records.
Tool-using agents
Agents that look up data, call your systems and prepare actions — inside permissions you define.
Approval & escalation
Low-risk steps run on their own. Anything above a threshold waits for a person, with the context to decide fast.
Typical scenarios
- Inbound order processing
- Supplier and customer email triage
- Invoice matching and exception handling
- Internal helpdesk for policies and procedures
What you get
- Working agent on your real data
- Evaluation suite with pass/fail criteria
- Permissions, limits and audit log
- Runbook and owner training
Four steps, no surprises.
Map
Walk the workflow and list every exception.
Build
Thin working slice on real inputs.
Test
Run it against the eval set and edge cases.
Run
Roll out with monitoring and a fallback.
Let’s make AI work for you
Tell us about the workflow you’d like to improve. We’ll reply within one business day.