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.
Where is your AI stuck?
Three questions, an answer straight away
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Answer the three questions and your next step appears here.
Where the effort goes
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 % · 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.
How I work
Five phases, from diagnosis to adoption you can measure
Each phase ends in something signed, not a slide. The engine carries what can be computed; I bring the rest with your teams.
- 1Align and diagnose
Leadership agrees the value at stake; processes, the AI already in use and readiness are mapped on evidence.
Measured by: a signed value floor and a readiness baseline
The engine plus hands-on work
- 2Redesign the work
The workflow is rebuilt around the AI: who decides, where a human reviews, how the team is sized.
Measured by: decision rights signed by their owners
The engine plus hands-on work
- 3Prove it in a governed pilot
One high-value workflow, with EU AI Act classification, evidence and an audit trail built in.
Measured by: cycle time and value against the floor
The engine plus hands-on work
- 4Bring people along
Role-based learning, a champions network and team libraries of prompts and agents — so the new way of working is the one people use.
Measured by: adoption per workflow
Hands-on with your teams
- 5Scale what works
Wins become standard modules with owners, an operating rhythm and a value ledger.
Measured by: realised value, not seat licences
The engine plus hands-on work
Phase 4 is delivered hands-on today; the engine’s support for it — cohorts, champions, adoption tracking — is being built.
Is it safe?
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.
0 automated checks passed on 2026-10-04. · See how it’s built
Questions you’re probably asking
Straight answers
- 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 2–3 weeks. At the end you know where you stand and which use case deserves a pilot.
- What does it cost to start?
- The Scan is a fixed €5,000. 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 here
Start with the Scan
A fixed €5,000, 2–3 weeks — and you know where your AI stands and what to do next.