What we build
Process automation that finishes the work RPA started
Most back-office processes are 70% rules and 30% judgment. RPA solved the rules. Agents solve the judgment. Together they finish the job.
The problem with RPA alone
Bots break the moment a vendor changes a PDF layout
Traditional RPA failed at scale because the world is messier than its scripts could tolerate. A bot trained on Q3 invoice formats breaks in Q4. Layouts change. Fields move. Exceptions multiply. Your operations team ends up babysitting the automation.
Our agents adapt. They read the same document a junior analyst would and apply judgment when the data is ambiguous. The result is automation that survives the real world — and a measurable reduction in the maintenance burden your team already carries.
What we automate
High-volume, rules-heavy work where 80% of cases are routine
Finance & accounting
- ▸ Invoice processing & 3-way match
- ▸ Vendor reconciliation
- ▸ Expense report classification
- ▸ Period-end accruals
Operations
- ▸ Order intake & routing
- ▸ Inventory exception handling
- ▸ Shipping documentation
- ▸ Returns & RMA processing
Customer operations
- ▸ Tier-1 support triage
- ▸ Account verification & onboarding
- ▸ Refund & adjustment requests
- ▸ Subscription lifecycle events
Compliance & risk
- ▸ KYC document review
- ▸ Sanctions screening adjudication
- ▸ Regulatory filing prep
- ▸ Internal audit evidence collection
A representative engagement
Mid-market insurer, claims intake automation, 90 days to production
Before
28 analysts processing first-notice-of-loss intakes by hand. Average claim spent 3.2 days in the queue before triage. Quality varied by analyst and by day of week.
After
A two-agent system reads the FNOL, classifies severity, dispatches the simple ones to the carrier API, and routes complex cases to senior adjusters with a pre-filled summary.
Average handle time
14 minutes
47 seconds
Cost per transaction
$2.80
$0.18
First-pass accuracy
88%
99.4%
Backlog at end of week
3,400 items
0 items
How we deliver
Three workstreams, run in parallel, converging at production cutover
Agent build
Two senior engineers ship the agents, the orchestration layer, and the tool integrations. They sit with your operations team for the duration.
Eval & QA
A dedicated QA engineer builds and runs the eval harness. Daily regression runs, weekly accuracy reviews, no surprises at cutover.
Change management
An operations lead works with your supervisors on shift redesign, escalation procedures, and the SOPs your team will own after we leave.
Got a process that's stuck at 60% automation?
We'll tell you in a single call whether agents will move the number — and what it will take.
Book Discovery Call →