Your team spends hours every day moving data between systems, routing approvals, drafting the same documents, and triaging incoming work. The knowledge of how to do this lives in people's heads and scattered runbooks. When someone leaves, the process breaks. We build AI agent systems that execute this operational work inside the tools your team already uses — no migrations, no new platforms, no 6-month integration projects. Agents go live in weeks.
What the agent handles, what stays human, what the escalation paths look like. Clear boundaries from the start.
Connect to your systems via APIs and automation layers. We work with what you have — no migrations.
On your cloud, using your approved AI providers, with full monitoring and alerting from day one.
30 days of production observation. Edge case handling, performance tuning, and decision logic refinement.
25 min → 2 min per case
Automated the intake-to-triage pipeline for an insurance claims team. Agents extract data from emails, PDFs, and scanned documents, match to policies, verify coverage, and route to the right adjuster with a pre-built case file. Standard claims process in 2 minutes instead of 25.
Approval chains that take 3 days and should take 3 minutes
Intake triage that depends on one person's judgment and creates a bottleneck
Reporting that requires copying data between 4 systems every week
Document review workflows where 80% of cases follow the same pattern
Every agent engagement includes integration testing, operator training, production runbooks, and 30-day post-launch monitoring. Your team can run and extend the system independently.
We'll tell you where the friction is, what should stay human, and whether automation is worth doing.