Custom AI Agent Builds: Results
What a Custom AI Agent Builds engagement delivers
A custom AI agent build is an engagement that designs, ships, and operates an AI agent tailored to one of your workflows. It includes use-case scoping, an LLM + orchestration + tools + memory architecture, integrations with your systems, an evaluation harness, human-in-the-loop controls, and observability. Pilots ship in 2–4 weeks; production builds typically run 8–16 weeks.
To a working pilot on your real data
Typical cost-per-task reduction (industry benchmark)
Median payback across enterprise agent deployments (benchmark)
Representative outcomes based on typical engagements and published industry benchmarks. Figures illustrate what a well-scoped engagement targets, not a guarantee.
“The pilot was live in three weeks and the eval harness meant we actually trusted it in production — not just in the demo.”
How we get there
Discovery & ROI Scoping
We pick one workflow with a measurable outcome, define success metrics, and map the systems the agent must touch.
Pilot Build
A working agent on your real data in 2–4 weeks, with the core tool integrations and a demo you can put in front of stakeholders.
Evaluate & Harden
We add an eval harness, retry/backoff logic, guardrails, and human-in-the-loop gates so the agent survives messy production input.
Deploy & Observe
Production deployment with tracing and dashboards, plus documentation so your team can operate and extend it.
Want results like these?
Typical timeline: 2–4 week pilot, 8–16 weeks to production. Let's scope your engagement in a free call.
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