DAG AIStart a conversation

Build

We build agent systems around how your business actually runs, prove them on your real tasks, and hand them over so your team can run and extend them.

System designSample
Back-office agent team
Customer callsService historyCrew calendarIntake agentScheduling agentOffice: exceptionsFollow-up agentCrew on siteCustomer updated
Intake 96%Scheduling 93%Follow-up 98%Bar to ship: 90% on real cases

Right for you if

  • You know what work you want AI to take on.
  • You need it running in your real tools, not a demo.
  • You want your team to own it after launch.

What you get.

1

Working agent systems

Agents connected to your tools, data, and people, within the scope we agree on.

2

Evaluations

Test sets built from your real tasks, and the bar each system has to meet before it ships.

3

Handover

Documentation, training, and ownership of the code, prompts, and configuration.

4

Measured results

A before-and-after comparison against your baseline over an agreed period.

How it works.

  1. 01

    Define done

    Agree on the work, the baseline, and the bar each system must meet.

  2. 02

    Build and test

    Build with your team and test against your real tasks.

  3. 03

    Launch

    Go live with people reviewing the decisions that matter.

  4. 04

    Hand over and extend

    Train your team, document everything, and add more work once it holds up.

Good to know.

Why it works

  • Proven before launch

    Each system has to meet an agreed bar on your real tasks before it goes live.

  • Yours to keep

    You own the code, prompts, configuration, and tests built for you.

  • Built to grow

    Start where the value is clearest, then extend the same foundations to more of the work.

Questions

Can you build across several processes?

Yes. We usually start where the value is clearest, then extend the same foundations, tests, and patterns to more of the work.

Which AI models do you use?

Whichever does each task best at the right cost. We test options on your work before choosing.

Who owns what you build?

You do. The code, prompts, configuration, tests, and documentation built for you are yours.

What if a system doesn't meet the bar?

We tell you, and recommend what to do next. That can include stopping.

Start a conversation

Talk to us about build.

If AI isn’t the right answer, we’ll say so.

  1. 01Tell us where you want to take the business.
  2. 02We reply by email to set up a conversation.
  3. 03If it's a fit, you get a written proposal: what we'll deliver, how we'll know it worked, and what it costs.
Where would you like to start?