Custom AI agents, workflow integration,
and managed AI ops.
Automation for document-heavy, compliance-sensitive work — built governance-first and deployed on your infrastructure, then run and monitored by our team.
The work that scales badly by hand.
Document-heavy processes
Intake, extraction, classification, and summarization across the documents that slow your teams down.
Compliance checks
Automated checks against your policies and controls, with a person reviewing exceptions.
Internal knowledge ops
Retrieval over your own knowledge base, scoped behind your access controls.
Approval workflows
Routing, drafting, and tracking across approval chains, with audit logging throughout.
Governed before it's clever.
Access & audit
- Role-based access control (RBAC)
- Audit logging across every action
- Data handling configured to your controls
Evaluation & review
- Evaluation pipelines from day one
- Human review loops on exceptions
- Deterministic checks separated from AI reasoning
Managed operations
- Ongoing monitoring and alerting
- Model updates as capability improves
- Performance tracking against your metrics
Common questions.
Where does the system run?
On your infrastructure. We are platform-agnostic across AWS, Azure, and GCP and deploy in your cloud or on premise, configured to your enterprise controls.
How do you keep automation governed?
Role-based access control, audit logging, evaluation pipelines, and human review loops are built in — not bolted on. Deterministic checks are kept separate from AI-assisted reasoning.
Do you operate it after launch?
Yes. Managed AI operations cover ongoing monitoring, model updates, and performance tracking, with experts on call.
How is a managed engagement priced?
Scoped to the workflows in play and confirmed on a call. There are no per-seat licenses.
Talk to us about your automation roadmap.
Tell us what you are working on. We will tell you what a scoped engagement would cover and how it would be priced.