Riaan Kleynhans

Riaan Kleynhans · AI enablement

I get AI out of pilots and into daily work

For regulated European enterprises: the work redesigned around the AI, the people brought along, and governance that lets it scale — with results you can measure.

For COOs, CDOs and heads of transformation whose AI is stuck in pilots.

About me →For partners →

Your AI works in the demo. It stalls before the daily work.

Five problems, each with the step that fixes it.

  1. Pilot theatre

    Pilots run, demos impress, and none of it reaches the daily work. There is no gate that says ready, and no rule that says stop.

    Fixed in the Last Mile
  2. AI nobody approved

    Ask which AI systems run today and who approved them, and nobody can answer for the board.

    Fixed in the Scan
  3. Security and legal say no late

    The CISO, data protection or legal see the pilot at the end, and block it. Their conditions were never part of the plan.

    Fixed in the Scan
  4. Value nobody signed

    The CFO sees a demo, not a business case. Nobody agreed what the pilot must be worth, so nobody can say it worked.

    Fixed in the Scan
  5. The AI Act, unanswered

    Nobody has classified which use cases fall under the EU AI Act, or kept the evidence a regulator would ask for.

    Kept in Assurance

Each one is fixed by a decision someone signs, at a step you can see below. That is the whole method.

From the first check to AI that runs in the work

Every step below ends in something you can open later: an answer, a signature, a record. You can stop after any of them.

  1. Before you commit

    No cost until you sign the Scan

    1. You check where your AI is stuck

      Three questions on this page, or ten on the full self-assessment. Your answers stay in your browser.

      You get: your own answer, before any call.

      Take the three questions
    2. A free call

      Five questions: which pilot, who can scale it, who can stop it, by when, and whether you would stop a pilot that does not earn its keep. I show the engine on a labelled demo.

      You get: a fit, or a plain no and the reason.

    3. You sign the Scan online

      Scope, fixed price and terms on a private page. You sign it there; the invoice follows by rule.

      You get: scope and price in writing, signed.

      What the Scan includes
    1. The Pilot-to-Production Scan

      3 weeks · €15,000–€25,000

      AlignDiscoverDiagnosePrioritize

      We find every AI system you run, including what nobody approved, see what blocks each pilot, and pick the one worth taking live.

      • Your AI inventory and EU AI Act classification
      • What stands between each pilot and production
      • A business case with a value floor and a named owner

      Ends in: a business case your CFO signs — go or stop.

    1. The Last Mile

      90 days · priced on what the Scan finds

      DesignProveScale

      I work inside your team to take that one pilot into the daily work, with the operating model built around it.

      • Owners, decision rights and governance
      • A test bar your business owner agrees
      • Use measured week by week

      Ends in: scale or stop, signed — measured against the floor.

    1. Assurance

      Monthly · after the handover

      After the handover, the record keeps proving that it still works.

      • Seven health checks, none averaged away
      • A reassessment against your own baseline
      • Evidence your auditor can open

      Ends in: proof every quarter — or a named problem.

You can stop after any step. And to be plain: the Scan is new — my first clients are its first cases. What each step includes →

Three questions, an answer straight away

Where is your AI today?
Do the people it was built for use it every week?
Is one named person accountable for its results?

Runs in your browser — nothing is sent or stored.

Answer the three questions and your next step appears here.

For AI that exists — and hasn’t reached the work yet

A fit if

  • You run AI pilots, and few or none of them are used in the daily work.
  • You have a reason to move now: a board mandate, a budget round, an audit or the AI Act timeline.
  • Your CISO, legal or compliance lead can say no — and you want them in the room from the start.
  • You would rather stop a pilot than scale one that doesn’t pay.

Not a fit if

  • You want a chatbot built quickly, or a licence to buy.
  • You have no pilots yet. The three questions above will say so, and point you to where to start.
  • You need a result promised before anyone has looked.
  • Nobody on your side will put their name to a decision.

My first focus is financial services, where the AI Act and an auditor are already in the room. Outside it, the method is the same; the industry playbook is newer, and I’ll say so on the call.

Every step proven, not presented

  • Adoption, not pilots

    Success is AI used in the daily work, measured by adoption and realised value — not by how many pilots were launched.

    How I work →
  • Proof built in

    Every number comes from a rule or a source you can follow. What isn’t known is shown as unknown. Every decision is signed by its owner.

    See how it’s checked →
  • Built, not just advised

    I have shipped what AI needs before people trust it to act: identity, memory and voice — my own products.

    What I have built →
  • The same rules for my own marketing

    What I publish passes the checks I ask of clients: sourced figures, no buzzwords, no bait, one honest limit in every piece.

    My rules →

The model is the smallest part of the work

An AI programme is mostly people and process. That is where pilots stall — and where I work.

10 %
20 %
70 %
  • 10 % · AlgorithmsChoosing, prompting or tuning the model.
  • 20 % · Technology and dataPipelines, integrations and the data the model needs.
  • 70 % · People and processesRedesigned workflows, decision rights, training and adoption.

Source: Boston Consulting Group (BCG), the 10-20-70 principle.

Safe to scale, because it is checked

  • Every decision is signed by the person who owns it.
  • Every AI use case is risk-classified before it goes live.
  • Every number can be traced to where it came from — what isn’t known is shown as unknown.

947 automated checks passed on 2026-10-07. · See how it’s built

Straight answers

What do you do differently?
I get AI out of pilots and into daily work. Every step is proven rather than presented: numbers from rules or sources, decisions signed by their owners, unknowns shown as unknown.
Is this another AI tool?
No. It’s a way of getting the AI you already have into daily work. The software you see here makes the method visible; you don’t buy a licence.
How quickly will we see something?
The Scan takes 3 weeks. At the end you know where you stand and which use case deserves a pilot.
What does it cost to start?
The Scan costs €15,000–€25,000, set by the scope and fixed once quoted. After it, you decide whether to go further.
Do we need clean data or new software first?
No. We start with the tools and data you have. Where the data isn’t ready, that becomes a gap with an owner and a date — not a reason to wait.
What about the EU AI Act?
Every use case is classified before it goes live, and the record is ready for your counsel. It isn’t legal advice — your lawyers decide.
Who does the work?
I do, with your teams. Most phases are supported by the engine; bringing people along is hands-on work.

Start with the Scan

€15,000–€25,000, fixed once scoped, 3 weeks — and you know which pilot is worth taking live, and what it is worth.