What you get
Three concrete deliverables.
Production agent with tool surface
Typed tool registry against your systems, deterministic step boundaries, and a state machine the team can read — not an opaque loop.
Approval and intervention console
Approval queues for high-stakes steps, side-by-side context view, and the ability to pause, edit, or override any agent decision in flight.
Trace and audit plane
Per-step traces, tool-call logging, model and prompt version stamping, and an audit export that satisfies your risk reviewer without a special request.
How we work
From kickoff to production.
Workflow framing and risk tiering
Pick one workflow, decompose it into steps, and tag each step by reversibility. High-risk steps get human approval by design.
Tool surface and state machine
Build typed tools against your systems with explicit success and failure modes. Wire the agent loop as a readable state machine, not a stochastic free-for-all.
Approval console and trace plane
Stand up the human-in-the-loop console, the per-step trace store, and the audit export. Test failure modes in a sandbox before any production traffic.
Shadow, partial, full cutover
Shadow mode against real tickets, then partial traffic with mandatory approval, then full operation with approval thresholds tuned on data.
The stack we build on.
Cloud-agnostic. We meet you where your tenant lives.
Outcome metrics
Median after first tuning cycle
By design, not by best effort
Down from 3 business days
From the field
One we shipped.
Enterprise audit operations
Replaced a manual evidence-fetching workflow with an agent that pulls source artifacts, validates against the control language, and routes exceptions to the reviewer queue — same auditors, four times the throughput.
Reviewer throughput
First quarter of operation
FAQ
Questions buyers ask first.
How do you keep the agent from doing something destructive?
Where does the agent's state live?
Can we modify or override an agent decision mid-flight?
How do you measure agent quality before scaling traffic?
What happens when a model upgrade changes behavior?
Related services
What buyers usually pair with this.
AI engineering
Production inference, evaluation harness, and on-call discipline that the agent loop relies on under the hood.
See the serviceRAG and knowledge systems
Document-grounded retrieval as a typed tool the agent can call when it needs your knowledge base, not the public internet.
See the serviceIntelligent document processing
Typed records from your operational paperwork that the agent can read and act on.
See the service