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AI lead generation systems. No enquiry goes cold.

We build the AI layer that catches every enquiry, qualifies it, follows it up and answers out of hours, so the spend you already make actually converts. Built around your process, not a template.

Not a chatbot. A lead engine.

Built around the way leads actually reach you, run by your team, improved every month.

Workflow mapping

We sit in your operation first. The automation plan comes from where your hours actually go, not from a template.

Agent & pipeline builds

AI agents for the repeatable work: lead enrichment and follow-up, reporting, content drafts, QA checks, data entry.

System integrations

Wired into the tools you already run: CRM, email, Slack, sheets, ad platforms, storefronts.

100%Human-in-the-loop

Human-in-the-loop design

Automation drafts, your people approve. Judgment stays human; the typing does not.

Team training

Your team learns to run and extend the system. The goal is capability, not dependency.

Monthly iteration

The retainer covers monitoring, fixes, and new automations as the operation evolves.

Four kinds of work that nobody should still be doing by hand.

None of it is hard. All of it is repeatable, and repeatable work is exactly what quietly consumes a team's week.

A line of identical parts moving through a lit assembly hall
  1. 01

    Lead handling

    Enriching a new lead, checking whether it fits, drafting the first reply. Twenty minutes each, several times a day, done slightly differently by whoever picks it up.

    Enriched and drafted
  2. 02

    Reporting

    Pulling the same numbers from the same four platforms into the same layout, monthly, for every account. The work is real; the thinking is in the commentary, not the assembly.

    Assembled automatically
  3. 03

    Content ops

    Briefs, first drafts, variants, formatting for each channel. A draft is a starting point a machine can produce; an edit is where the person adds value.

    Drafted, then edited
  4. 04

    QA and data entry

    Checking that the thing that should have happened happened, and copying values between systems that do not talk. Pure overhead, invisible until it fails.

    Checked every run

Mapped to running.

Biggest hourly payback first, always.

  1. Map

    A working session on where the hours go. Output: the automation plan with honest effort-to-impact calls.

    The plan
  2. Build

    The workflows with the biggest hourly payback first. Working automations in weeks, staged into daily use.

    Weeks
  3. Train

    Your team runs the system with us alongside. Documentation that humans actually read.

    Capability
  4. Iterate

    Monthly cycles: measure, fix, extend. The system compounds like everything else we build.

    Monthly
AI Automations
€3,500 setup + €1,800/mo

Setup covers mapping and the initial builds. The retainer covers running, fixing, and extending the system. If the math does not clearly work for your operation, we say so in the first call.

Book the workflow call →

Straight answers.

The four we get asked before every build.

Still deciding?

Ask us directly
01Is this for every business?

No. It earns its price where repeatable knowledge work eats real hours: agencies, e-commerce teams, service operations. If your volume does not justify it, we tell you in the first call and part as friends.

02Which AI tools do you use?

Whatever the workflow needs: LLM agents, scrapers, integrations across the tools you already pay for. You are buying outcomes and a working system, not a specific logo.

03What about our data?

Your systems, your accounts, your data. We design for least access, document every connection, and you can revoke everything the day we stop working together.

04Why is this a warm offer only?

Because it works best for businesses that already know how we operate. Most automation clients started as management or consulting clients who saw the engine from the inside and asked for it.

Honest scoping · Your tools · Your data

Hours are the only thing you cannot buy more of.

One call, your workflows on the table, an honest read on what automation would return. If it is not worth it, we say so.

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