AI Agents & Intelligence
We build agents that do work, not agents that demo well. Every one ships with an evaluation suite, a cost model and a human handoff path.
What we build
- Autonomous agents — Goal-driven systems that plan, call tools and complete multi-step work without supervision.
- RAG & knowledge — Your documents, tickets and databases turned into an answer engine people actually trust.
- Voice & conversation — Phone and chat agents with real context, guardrails and a clean route to a human.
- Evaluation & guardrails — Test suites, confidence thresholds, logging and cost dashboards from the first sprint.
- Model selection — Claude, GPT and open models benchmarked per task on quality, latency and cost.
- Deployment — Inside your own cloud when data cannot leave, with monitoring you own.
What you get
- Agent architecture — Tools, prompts, memory and failure paths, written down and reviewable.
- Evaluation suite — Repeatable tests so quality is measured, not assumed.
- Run dashboard — Every execution, its cost and its outcome, visible.
- Handoff protocol — Low-confidence cases routed to a person with full context attached.
Who this is for
- Repetitive, rule-heavy work — If a competent new hire could learn the task in a week from a written procedure, an agent can probably run it.
- Enquiries going unanswered — Leads or tickets sitting in a queue because nobody has the capacity to get to them fast enough.
- Knowledge nobody can find — Documents, tickets and databases that hold the answer but cannot be searched properly.
- Work that runs after hours — Jobs that should happen overnight so the day starts with the decisions already made.
Questions
- How long does an agent take to build?
- Four to eight weeks for something production-ready — roughly two weeks of discovery and data work, then build, evaluation and a staged rollout.
- What does it cost to run?
- We benchmark cost per completed task during discovery and design to it. Most agents we ship run for a few cents per action.
- What if the model is wrong?
- Confidence thresholds, human review paths and full logging. You can audit any decision the agent made and why.
- Can it stay inside our infrastructure?
- Yes. We deploy into your own cloud account when data cannot leave your perimeter.
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