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Most of your workflow doesn't need AI. We find the part that does.

KarKen Studio

Every engagement starts with a consultation, so we find the real bottleneck first. Then we build it, custom to your business.

Book a discovery call

You've heard AI can run your whole business.

Buy the tool, plug it in, watch the hours come back.

Usually AI is one step in a system. Often a small one.

The rest is plain automation: rules, schedules, the same steps every time. It's cheaper to build and easier to trust.

We'll tell you which is which before anything gets built. And if AI wouldn't help, we'll say that too.

Let's sort a normal week.

An example week. Yours will look different.

Seven jobs. Three needed a rule. Two needed AI.

The other two were always yours. Finding that split for your business is what a discovery call is for.

  1. Copy order details from email into the sheetSame steps every time. A rule does it.
  2. Read every CV and shortlist the good onesJudging free text is a reasoning job.
  3. Chase invoices that are overdueA date and a template.
  4. Call back the client who's upsetThis one needs you.
  5. Build the month-end reportSame sources, same shape.
  6. Sort inbound email by what the sender wantsIntent hides in the wording.
  7. Decide next quarter's pricingJudgement. Keep it.

Three systems. Three numbers.

Tickets brokerage

BeforeBuying tickets by hand, one browser at a time.

2–3xrevenue

Browser automation took over the buying workflow, across browsers and tabs at once. The operation now runs at two to three times its old revenue.

The ticket bot's control panel: a start and stop switch, first-run setup, and a live server log.
The bot's control panel. A Python server and a browser extension. No n8n in this one.

Finance team

BeforeReconciliation and reporting, rebuilt by hand every month.

20+hours a month, back

The recurring reporting and reconciliation moved into an automated pipeline. The team got more than twenty hours back every month.

Claude has generated a batch of collection letters from a spreadsheet, with one formatted letter open as a PDF. Client details are blurred or blacked out.
One piece of it: collection letters, generated in a batch. Claude reads each row of the spreadsheet, writes the letter and formats it as a PDF, ready to send. Client details are blurred.

Lead generation

BeforeProspecting and research, done by hand every day.

10–15hours a week, back

A daily pipeline now finds and researches the leads on its own schedule. That freed ten to fifteen hours every week.

A completed run of the leadgen-daily task on Trigger.dev, 13 minutes 46 seconds from start to finish.
One real run, start to finish in under fourteen minutes. Trigger.dev schedules it, GitHub Actions runs the pipeline, Clay supplies the data.

What we build

Built around your business. Never a template.

  1. Opportunity discovery

    We map how your business actually runs and find the high-impact automation hiding in everyday work.

  2. Custom AI and automation

    Systems built around your data, your tools and your edge cases. Whatever stack fits the job.

  3. End-to-end delivery

    Discovery, build, launch and support. One person accountable for the whole thing.

A system blueprint: a React app hands requests to Claude, code checks the output, n8n runs the workflow, and red boxes show what happens when a step fails.
A system blueprint. Claude chooses, code verifies, n8n executes. Red is what happens when a step fails. You see this before anything gets built.
You get

A ranked shortlist of what to automate, what it's worth, and what it will cost to build.

An n8n workflow where Claude scores a CV and plain code decides where it goes next.
One model call on a fixed path. Claude scores the CV. Plain code decides where it goes next. The only step that needs AI gets AI.
You get

A working system in production, documented, with you able to see what it's doing.

A large n8n workflow with three AI agents: a drafter, a devil's advocate and a controller, with a human approval step.
Three agents check each other. A drafter, a devil's advocate and a controller produce a legal document. A human approves it before it goes anywhere.
You get

Clear scope, regular updates, and someone who owns the result after go-live.

How working together runs

No black boxes. You know the scope, the cost and the honest odds before anything gets built.

  1. Consultation

    YouSpend thirty minutes telling us how the work actually runs.

    UsWe find where the time and money are leaking. It's a conversation, not a sales pitch.

  2. Opportunity map

    YouGet a ranked view of what's worth automating, and what it costs.

    UsWe give you an honest read, including anything AI would handle badly.

  3. Build

    YouAgree the scope up front. No surprises on cost.

    UsWe build it, with regular updates, so you never wonder where it stands.

  4. Launch and support

    YouUse the system, and see what it's doing.

    UsWe stay accountable for it after handover.

Or keep doing it by hand.

Find out if AI is worth it for your business.

A 30-minute discovery call, free. We look at your workflow and tell you straight whether automation would move the needle. If it wouldn't, we'll say that too.