Service / 10
Enterprise Automation
We automate business processes end to end, using deterministic software wherever possible and models only where judgment is genuinely required. The boring parts stay boring — that is what makes the system dependable.
When you need this
The situations we are called into.
High-volume back-office processes still depend on people re-keying data between systems.
Document-heavy workflows — claims, invoices, applications — need extraction and decisions, not just OCR.
A previous automation program stalled because a fifth of cases need judgment the tooling could not provide.
Approach
How the engagement runs.
Process mapping
The real process — including the workarounds — documented with volumes, exceptions, and cycle times.
Rule–judgment split
Each step classified: deterministic rule, model judgment, or human decision. Most steps are rules.
Build
Pipelines, integrations, and model components assembled with the same evaluation discipline as any of our systems.
Exception design
Explicit routes for the cases automation should not touch, so they reach people quickly and with context.
Measured rollout
Volume shifted progressively, with per-case cost, accuracy, and cycle time reported throughout.
Deliverables
What you hold at the end.
Automated production pipelines
Exception-handling workflows
Throughput and accuracy dashboards
Per-case cost model
Maintenance plan
Related research
The evidence behind this practice.
White paper · 2026
Multi-agent systems in production: reliability patterns
Failure modes observed when orchestrating multiple LLM agents on business-critical tasks, and the containment patterns that keep them recoverable.
In preparation
Contact
Talk to our engineers.
Describe the situation you are in. The person who replies is the person who would do the work.