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We find the work worth automating, then build it.

Most automation projects start with a tool. Ours start with finding which work is actually costing you, then building the system that takes it off your team.

Book a discovery call See what we build

You don't need the answer before we start.

Most engagements begin the same way: you know something in the business should be automated, but not what, or where it would actually pay off. Four phases take you from there to a system running in production.

  1. Phase 01

    Discovery

    We go through how the business actually runs and find where time and money leak, the bottlenecks with real return, and the ones that make technical sense to automate. You get a ranked list, not a wish list.

    Out → ranked opportunities
  2. Phase 02

    Scope

    We pick the one worth building first and I write it up: what it does, what it touches, what you get, and where it ends. Plain language you can hand to anyone, with no jargon and no open-ended scope.

    Out → scoping document
  3. Phase 03

    Build

    I build it, and we meet on a set cadence while I do. You see progress as it happens and can correct course early, not at the end when changes are expensive.

    Out → working system + check-ins
  4. Phase 04

    Handoff

    You test it against real work and sign off. Then everything transfers: technical documentation, operational guides, and a walkthrough, so your team runs it without depending on me.

    Out → docs, guides, keys

The work nobody has time to fix.

Discovery almost always lands on the same shape of problem: a process that runs on someone remembering. Copying figures between two systems, chasing an approval, rebuilding the same document from scratch every week.

It works, until the person doing it gets busy. Then it quietly stops, and you find out weeks later when something downstream turns up missing. Nobody rebuilds it, because rebuilding it takes time the team doesn't have.

We don't sell prompts, a one-off script, or a strategy deck. We build the system that does the work, run it until it's stable, and hand you the keys.

Where the manual version breaks

It runs on memory. Nothing is written down, so it works exactly as long as someone remembers it.

The cost hides. Twenty minutes here, an hour there, never big enough to fix never small enough to ignore.

It lives in one head. That person leaves, and the process leaves with them.

There's never time. The people who understand it best have the least room to stop and rebuild it.

What actually gets built.

Three kinds of system. Discovery decides which one you start with, and it's often not the one you'd have guessed going in.

Revenue systems

Finding the right accounts, enriching them, and reaching out, then keeping the CRM honest behind it. The work that fills and maintains a pipeline, running without a person driving each step of it.

Find → qualify → reach

Content systems

Research, drafting, and publishing run as a pipeline. Your expertise becomes pages that ship on a schedule instead of whenever someone clears an afternoon, at a scale a single writer can't reach.

Research → draft → publish

Internal operations

The admin between your tools: generating the document, moving data where it belongs, routing the request, producing the report someone rebuilds by hand every month.

Trigger → process → deliver

Built once. Runs without you.

Whatever we build, it has the same four parts. Every step that used to be a person is a step the system now owns.

  1. 01

    Trigger

    It starts itself: on a schedule, a new record, an inbound email. The system runs on the event, not on someone remembering.

  2. 02

    Gather

    It pulls what it needs from the tools you already use, checks the data holds up, and stops rather than guessing when it doesn't.

  3. 03

    Do the work

    The actual task: writing the document, updating the records, routing the request, done the way you'd do it, at a volume you can't.

  4. 04

    Report back

    You see what ran and what it produced. When something breaks, you hear it from the system rather than from a customer.

Two builds, two different problems.

B2B SaaS · internal operations

Proposals that kept slipping

Every call ended with notes someone had to turn into a proposal, and that turnaround was costing them deals. We built the system that takes the meeting and produces the document, so the follow-up goes out while the conversation is still warm.

B2C ecommerce · content systems

A catalogue no one could write

Hundreds of product variants, each needing real copy to stand a chance in search. Writing that by hand was never going to happen. We built an SEO copy engine that covers the full catalogue and runs without anyone driving it.

Same day Proposal turnaround for the SaaS client, down from two days.
0–30 min Post-meeting admin saved per participant, per call.
Hundreds Of product variants covered by one self-running copy engine.

Both engagements are real, and every number here comes from a specific build. We don't publish figures we can't point at.

Let's find the bottleneck.

Thirty minutes on how the business actually runs day to day, and what's worth automating first. No deck, just the workflow.

Book a discovery call
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