
Autonomous systems
Autonomous agents that execute multi-step workflows across your stack with guardrails, approval gates, and a full audit trail.

overview
Agents plan, call tools, evaluate results, and adjust — without manual hand-holding at each step.
Every run is traced: inputs, tool calls, decisions, outputs. High-stakes actions pause for human review before execution.
Task success is measured against scenario-specific eval sets built from your workflows — not generic benchmarks.
what we build
Multi-step orchestration across tools, APIs, and internal systems
Human-in-the-loop approval gates before irreversible actions
Least-privilege tool access; model never touches raw secrets
Full run tracing and step-level regression evaluation
Structured escalation when agent reaches its limits
how it works
Agent decomposes goal into steps and selects tools.
Each tool call runs with scoped credentials; response validated.
Risky actions surface to a reviewer; agent holds state.
Every step logged; runs replay and score against eval criteria.
use cases
Triages queues, reconciles records, escalates only ambiguous cases.
Looks up state, takes approved action, composes response end-to-end.
Gathers evidence across sources; produces a cited synthesis.
Flags inconsistencies, proposes corrections, applies after review.
Matches POs to invoices, flags exceptions, routes approvals.