Enterprise AI Workflows

A tiered agent system that resolves routine support tickets end-to-end, escalates the rest with full context, and keeps humans on the hard 20%.

At 100k tickets/year and a blended $6-8 fully-loaded cost per tier-1 contact,…

A governed retrieval system that answers employee questions from internal docs — with permissions, citations, and an eval harness that catches drift.

Internal RAG rarely shows up as headcount savings — it shows up as time. If…

An agent that triages inbound contracts against your playbook, flags deviations, drafts redlines, and routes to legal — with a human owning every signature.

For a team reviewing 200 contracts a month, cutting first-pass review from ~90…

A copilot that accelerates incident triage — correlating signals, surfacing similar past incidents, and drafting the timeline — while engineers stay in command.

Mean time to resolution is the metric. Shaving even 20-30% off MTTR on…

A retrieval agent that drafts answers to RFPs and security questionnaires from a governed answer library — so sales engineering reviews instead of retypes.

Cutting a 200-question RFP from three days to half a day of human effort…

An agent that reviews the close in parallel with accounting — flagging unusual entries, missing accruals, and variance outliers for a controller to judge.

The payoff is fewer post-close adjustments and audit findings, and a shorter,…

A governed internal platform for shipping coding and ops agents to engineering teams — with shared guardrails, evals, and observability instead of shadow tools.

The platform pays off two ways: teams ship internal agents far faster on the…

An agent that diagnoses data-pipeline failures, attempts safe recovery, and escalates the rest with a root-cause summary — so data engineers stop firefighting.

The win is on-call load and freshness SLAs. If the agent safely auto-recovers…