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Agents that execute recurring work — in production, not in demos.

The gap between an AI demo and a process that runs every day without a human babysitter is engineering. We build agents, automations, and integrations that execute recurring work — connected to your systems, instrumented end to end, with human-in-the-loop controls where they matter.

4–8 wk
First process in production
Your stack
CRM, data, and tools connected
Before/after
Measured on every process
The problem

Demos are easy.
Production is the job.

Every team has seen the impressive agent demo. Far fewer have an agent running a real process on a Tuesday morning with nobody watching. The difference is unglamorous engineering: integrations to the systems where work actually lives, logging that tells you what happened and why, error handling for the cases the demo skipped, and controls for the steps a human should still approve.

That last mile is where most agent projects stall — the pilot works, the rollout never comes. We do the last mile first: pick a process worth automating, wire it into your stack, instrument it, and measure the result.

What you get

A process that runs itself — and proves it.

Not a prototype and a handoff document. A working system in your environment, with the monitoring and metrics to show what it does every day.

01

Agent and automation build, wired into your stack

We select the process together, map it step by step, and build the agents and automations that run it — integrated with your CRM, data, and tools, with monitoring from day one. You can see exactly what ran, when, and why, on every single execution.

Scope a build →
  • Process selection and mapping
  • Agent and automation build
  • Integrations to your CRM, data, and tools
  • Monitoring and logging on every run
  • Human-in-the-loop checkpoints where they matter
  • Measurable before/after metrics
02

Human-in-the-loop where it counts

Not every step should be autonomous. Approval gates, review queues, and escalation paths go exactly where errors are costly — so the agent handles the volume and your team keeps the judgment calls. Autonomy is earned per step, not assumed.

03

Measured before and after

We baseline the process before the build — hours spent, throughput, error rate — and measure it again after. You get numbers you can put in front of leadership, not anecdotes about time saved.

Who it's for

Built for teams carrying recurring work.

Ops leaders drowning in recurring work
The same multi-step process eats your team's week, every week. That's exactly the profile agents are built for.
Marketing teams with manual pipelines
List building, enrichment, reporting, campaign ops — repetitive, rule-heavy, and spread across five disconnected tools.
IT leaders asked to "do agents"
The mandate arrived without a plan. We bring the build discipline: scoping, controls, logging, and a rollout that survives review.
Teams stuck at the pilot stage
The demo worked months ago and never shipped. We take working prototypes across the production gap.
Related services

What usually pairs with a build.

MCP gateway
One controlled gateway between your people, your agents, and your data — authentication, routing, and logging in one place.
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Data engineering
Agents are only as good as the data they can reach. Pipelines, integrations, and retrieval systems that feed them.
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AI security testing & patching
Agents create new attack surfaces. We test them the way adversaries will — then patch what breaks.
View service →

Stop babysitting the process.

Pick one process worth automating and we'll scope the build — integrations, controls, and the metrics to prove it worked.