AI agents

Agents that run the work you keep repeating

An agent is a small piece of software that reads, decides, and acts on a job you'd otherwise do by hand — sorting an inbox, drafting a quote, chasing a missing document. We build them around the way your team already works, and you keep the final say.

Your team already knows the steps. An agent can take the repeats.

Every business has work that runs the same way every time: the same fields copied between systems, the same reply typed for the twentieth time this week, the same report rebuilt every Monday.

That work is valuable — it's why the process holds together. It's also the work a well-built agent can carry, so the hours go to the judgment calls only your people can make. The open question is usually which jobs to hand over first and where the human check belongs, and that's what we map out with you.

What's included in an agent project

A map of the work first

We sit with the people who do the job and write down each step, each exception, and each decision. That map is the spec — and it's yours whether or not you build anything.

Agents built for one job each

One agent per task, scoped tight: read these emails, pull these numbers, draft this document. Narrow agents are far easier to trust, test, and fix than one that tries to do everything.

Connected to the tools you already pay for

Email, CRM, spreadsheets, accounting, your site's forms, your project tracker. We connect through official interfaces, so nothing depends on a browser window someone left open.

A human checkpoint where it matters

You choose what an agent may send on its own and what waits for approval. Anything touching a customer, a price, or a payment can be set to draft-and-wait by default.

A written record of every run

Each run logs what the agent saw, what it decided, and what it changed — so you can audit a result rather than take it on faith, and correct the pattern rather than the one-off.

Guardrails and a stop switch

Limits on what an agent can touch, alerts when something looks unusual, and a single control to pause it. Handing work over should never mean losing the ability to take it back.

How an agent project runs

  1. 1

    Find the repeats

    We look at where the same steps happen over and over, and rank them by hours spent, how consistent the steps are, and what it costs when one goes wrong.

  2. 2

    Pilot one

    We build a single agent for the clearest job and run it alongside your team, comparing its output to theirs, until it's right on the ordinary cases and safe on the odd ones.

  3. 3

    Put it to work

    The agent goes live with your approval rules in place, connected to the real tools, with logging and alerts on from day one.

  4. 4

    Widen or hand back

    If the pilot earns its place, we loosen the checks it no longer needs and build the next one. If it doesn't, we tell you plainly and stop — that's a cheap answer, not a failure.

The same way we run every engagement — how we work →

A good fit if

  • A task your team repeats every day or every week
  • Information you copy by hand between two systems
  • Inquiries that need a fast first reply, then a person
  • Reports someone rebuilds on the same schedule
  • A process you'd trust an agent with — if you could watch it work

Questions we get about agents

That's not what we build for. The agents we ship take the repeatable steps so your team spends its day on the calls that need a person — the judgment, the exceptions, the relationships. Where a job has real consequences, the agent drafts and a person sends.
It will, occasionally — so we plan for it. Every run is logged, uncertain cases are routed to a person instead of guessed at, and you can pause any agent instantly. When a mistake does happen, the log shows why, and the fix goes into the agent rather than into a reminder someone has to remember.
Into the systems you already use, under your own accounts. We'll tell you exactly which third-party services a given agent touches and what it sends them before anything is built, and we can keep sensitive steps out of outside services entirely.
It depends mostly on how many systems a first agent has to reach and how many exceptions the task has, measured from the mapping session to live use. We'll give you a firm number and schedule after we've seen the work.

Tell us which job repeats the most.

Start your project

A few quick questions — about two minutes.