Workflow agents

Agents that sit inside the real process

We map the handoff, the edge cases, and the source-of-truth systems before automating the repetitive middle.

Human handoff rules

CRM and inbox triggers

Ops dashboards

Engagement shape

Trace the current workflow, data sources, and failure points with production evidence.

Build the smallest useful version against real data and real operator constraints.

Deploy with tests, rollback paths, dashboard visibility, and staff-ready explanations.

Keep the system improving through feedback loops, reconciliation, and targeted hardening.

Production signals

What our shipped products keep teaching us

Webhook secret rollouts need observability before strict rejection.

A synced catalog row is not automatically safe for first contact.

AI extraction should fail loudly when JSON or provider output is malformed.

Delivery confirmations depend on the exact callback shape production sends.

Ops

Mapped before code

Tests

Written around failure modes

Runbooks

Staff-ready after launch

Next step

We will turn it into a scoped AI system with a measurable first release, clear operating rules, and enough visibility that your team can trust it.