AI Agents & Agentic Workflows
We design, build, and operate agents that complete multi-step work inside your systems: reading records, calling tools, checking results, and escalating to a named person when the stakes require it.
What we build
- Tool-using agents: typed, scoped, reversible actions against ERP, CRM, EHR, ticketing, and data platforms
- Multi-agent workflows: orchestrator, specialist, and reviewer agents for research, drafting, and QA
- Human-gated automation: approval gates with full context for reviewers, and an audit trail for every decision
- MCP servers and tool libraries: expose your internal systems to any agent runtime safely
How an engagement runs
- Scoping workshop (week 1): one workflow, one success metric, one human gate
- Build (weeks 2–5): agent, tools, and evaluation suite against your real data
- Governed pilot (week 6): named reviewers, retained traces, go/no-go review
- Scale: additional workflows reuse the same tools, policies, and evaluation harness
What you get
- Agent and tool source code in your repositories
- Evaluation suite running in your CI
- Runbooks, policy configuration, and audit trail retention
- A team that stays on to operate and improve the fleet, if you want one