Custom AI agents,
deployed into your stack.
We design, deploy and operate AI agents that connect to your tools, take real action, and stay fully observable — delivered as a managed service and hardened for production.
Agents that actually
do the work.
We design, deploy and operate custom AI agents that connect to your tools, take action, and stay observable — delivered as a managed service, hardened for production.
- Plug into your toolsCRM, email, databases, internal APIs — agents that act, not just chat.
- Memory & guardrailsContext that persists, with evals, tracing and policy on every step.
- Human-in-the-loopApprovals and oversight where it matters, autonomy where it doesn’t.
Production agents, not prototypes.
Plug into your tools
CRM, email, databases and internal APIs — agents that take real actions, not just chat.
Memory that persists
Context carries across sessions, so every interaction builds on the last.
Guardrails & policy
Evals, tracing and policy on every step — safe by construction, not by hope.
Human-in-the-loop
Approvals and oversight where it matters, autonomy where it doesn’t.
Fully observable
Traces, metrics and cost per run — you see exactly what every agent did.
Model-agnostic
Swap models without rewrites — we route to the best engine for each task.
From scope to production.
Scope & connect
We map the workflow, the data and the tools the agent needs, then wire it into your stack.
Build & evaluate
We ship a production agent with guardrails and evals — measured against real tasks, not demos.
Deploy & operate
We launch, monitor and keep improving — a managed service, hardened as usage grows.
AI agents — frequently asked questions
What exactly is an AI agent?
An AI agent takes a goal and performs a sequence of steps toward it — calling your tools, reading and writing to your systems, and deciding what to do next. Unlike a chatbot, which only returns messages, an agent takes real actions in your business.
How is this delivered — is it a product or a service?
It's a managed service. We design, build, deploy and operate the agent on your stack, then keep improving it as your data, tools and usage change. You're not handed a demo and left to maintain it.
How do you keep agents safe and reliable?
Every action runs behind guardrails and policy, risky actions require human approval, behaviour is measured with evals against real tasks, and everything is observable — full traces, metrics and cost per run.
Which tools and systems can an agent connect to?
CRMs, email, databases, internal APIs, helpdesks, accounting software and more — through typed, permissioned tools you control. The agent only accesses what you explicitly grant.
How long does it take to deploy an agent?
We start with one well-scoped workflow and get a supervised agent into production quickly, then expand its autonomy as the evals prove out. Timelines depend on the systems involved, which we map up front.
Deploy an agent that does the work.
Tell us the workflow. We’ll come back within one business day.
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