AGENT OPERATIONS
Multi-step agents that resolve tickets, reconcile ledgers, or triage inboxes — with auditable tool calls and budgeted retries.
TICKETS PILE UP FASTER THAN HEADCOUNT
Every internal queue has the same shape: a long tail of repetitive work consuming senior judgment. Hiring doesn't scale; BPO creates risk; rigid RPA breaks at the first exception.
Agents are the third option — but only if you can trust them.
AUDITABLE AGENTS — BY DEFAULT
- 01
Tool-calling harness
Typed tool interfaces, budgeted retries, and a circuit breaker. No free-running LLM loops.
- 02
Ground-truth evals
A curated eval set of real historical cases so every prompt or model swap is measured, not vibed.
- 03
Human-in-the-loop gates
Configurable approval points wherever the agent touches money, identity, or regulated data.
- 04
Observability stack
Every reasoning step, tool call, retrieval, and cost — traced and searchable. Not a black box.
- 05
Runbook + ownership
Documented playbooks so your team operates the agent after we leave. No vendor lock-in.
10–14 WEEKS TO PRODUCTION
Weeks 1–2. Shadow the current workflow. Instrument the queue. Produce a baseline cost-per-ticket and accuracy benchmark.
Weeks 3–8. Build the agent, tools, and eval harness. Red-team against edge cases pulled from real history.
Weeks 9–12. Shadow-mode rollout — agent decides, human approves. Tune until agreement is high enough to flip autonomy on.
Weeks 13–14. Handoff: runbook, eval suite, observability dashboards, and a 30-day warranty.
START A DIAGNOSTIC
Two-week fixed-fee engagement to map your workflow, quantify the drag, and return a ranked list of automations with expected ROI.
Begin intake