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The systems that take work off your desk.

Skilled people spend hours a day on high volume, low judgement work, often twice over because it has to happen in two languages. We map that process with the people who do it, run a paid pilot on one part of it against a test you sign first, and build only what passed.

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The proof is already running.

OPERATIONS SYSTEMS PILOT FIRST EN / ES

  1. 01 MAPWITH YOUR TEAM
  2. 02 PILOT2 TO 4 WKS
  3. 03 TESTSIGNED IN ADVANCE
  4. 04 BUILD4 TO 10 WKS
  5. 05 RUNMONTHLY, OPTIONAL

Who this is for

Three businesses, one problem. A clinic retyping enquiries out of three inboxes into one calendar. An agency rebuilding the same quote for the fortieth time. A law firm reading documents in one language and answering in another, twice a day, every day.

The work repeats, it is heavy on language, and the people doing it are good at something else. Nobody fixes it, because fixing it would take the afternoon the work is already taking.

The kind of process this fits

Enquiries arriving in three places and needing one answer, in whichever language they came in. Quotes and proposals rebuilt from scratch each time. Documents to read, summarise and translate. Appointments to place, confirm and chase. Invoicing and admin nobody grew up wanting to do. Messaging on WhatsApp, which every automation shop on this coast leads with, and which is table stakes here rather than a reason to pick anyone.

We do not publish a menu of workflows. A menu turns work that has to be shaped around your process into a commodity, and it opens a scope conversation before anyone has seen your process. Seeing your process is the first thing we do.

Hands at work on a surface, close in, lit from one side
FIG. 004 The work that gets taken off the desk

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How a build runs

1. Process map. We sit with the people who do the work and write down what happens, including the parts that are in nobody's documentation and the parts everyone works around.

2. Pilot. One workflow, fixed fee, with a pass or fail test agreed and signed before it starts. Two to four weeks. If it fails, you have a real answer and you have not spent the build. The pilot fee is its own decision and is not credited against anything, because it delivers an answer either way.

3. Build. Fixed scope, fixed fee, integrated with the tools you already use. Four to ten weeks depending on what the pilot found. Staff training in your team's language is part of the build, not a line item after it.

4. After. Thirty days of adoption support once it is live. A written handover at go live, without you asking for it. An optional monthly care plan if you want us holding it. Open ended time and materials is never on offer.

Read the Custom AI Build page

Where the work already repeats on a schedule, there is a second route through this family: we run it for you on the system our own businesses run on, rather than building you one of your own. Same pilot, same signed test, same human check.

Read the Hydra OS page

FOUR STEPS

Why this work stalls, and what we do about it

MIT's NANDA research found that around 95% of generative AI pilots produced no measurable return on the profit and loss. RAND's interview work found the cause is organisational rather than technical: the build is fine, and nobody changes how they work. Nobody cancels the project either. It stops being used, around three months after launch.

This family is built against that failure. You sign the test before build money moves, training runs in the language your team argues in, and thirty days of adoption support sits inside the scope instead of a follow up quote. The people who design the interface are the same people who built the system, because a tool nobody wants to open does not get opened.

More on that pattern: why AI projects stall after launch.

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What we can show you

Every build here is shaped around one company's process, so this page offers a method rather than a counter. We would rather show you how a build runs than manufacture a total that describes nobody.

This studio builds and runs production systems of its own instead of reselling somebody's platform. Two of them run our own businesses. Their processing counts sit on the growth systems page under an operational scale label, because they are nobody's results but ours.

What stands behind an operations engagement is narrower and more useful than a statistic: a published method, a signed test, a fixed scope and a written handover.

Straight answers

What happens if the pilot fails? Then it failed, and you found out for the cost of a pilot instead of the cost of a build. We write the test and you sign it before the pilot starts, so neither of us gets to reinterpret the result afterwards.

Will we be locked in? No. The written handover arrives at go live, without you asking for it. If you move the work elsewhere, everything needed to run it goes with you.

Our people will not use it. That is the most common way this ends, and it is the reason the training and the thirty day adoption window are in scope. The training runs in your team's language, on the process they actually have, not on a demo.

We have half of this in spreadsheets already. Good. That is the documentation, and the process map starts from it. Existing tools stay unless there is a reason to move.

Do you publish prices? No. Three fixed fees, quoted once we have seen the process: the pilot, the build, and a care plan if you want one. Never open ended.

What goes in writing

The scope, the dates, the test, and what happens if the test is not met. A real figure for your process comes out of the audit or the pilot, because both of those start by measuring.

We will not promise you a percentage before anyone has looked at the process. We do not know your volumes, your error rate or what the task costs you today, and a number written ahead of that is a sales device.

If your problem is the other one

If the trouble is that too few of the right people arrive in the first place, that is the other family. Growth systems bring customers in.

If the gap sits with your team, AI Foundations for Teams is half a day on their real work, with a playbook and a data handling policy they can adopt as it stands.

If you want the picture written down before you commit to any of it, the AI Visibility Audit includes a pass over your operations for the highest value automation opportunities, scoped with effort, cost and expected outcome. Sign a custom build within 90 days of the walkthrough and the audit fee comes off the build fee. It does not come off the pilot fee, which is a separate decision and pays for itself in the answer.

The full method, phase by phase, with the risks named: the approach.

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Bring the process that is eating the most time, even if you cannot describe it in one sentence yet. We take it from there.

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If you would rather write first, the contact page has the calendar at the top and a short form under it.