The origin

Twenty years of watching, and one observation that wouldn't leave.

I have spent more than twenty years inside HR transformations — as a practitioner, as a client, as a consultant, and, in the years that mattered most, as someone who stayed after the vendor had rolled off. I have lived through every wave the industry has sold. The first proper HRIS rollouts, when we retired the filing cabinets and learned what “single source of truth” was supposed to mean. The migration to the cloud, which was sold as liberation and delivered, in many cases, a more elegant cage. The people-analytics era, which promised that data would make us wise and mostly made us busier. Each wave arrived with a manifesto, a vendor, and a keynote. Each one promised transformation. Each one delivered, to be fair, a great deal.

But each one also left behind an email. A manager — usually in operations, rarely senior enough to have been in the steering committee — writes it a few weeks after go-live. It begins: “I know this is probably just how it works now, but…” What follows is a description of a thing the old system let them do with a phone call, and the new system does not let them do at all. The email gets forwarded. It lands in a backlog. The transformation is, by every measure the steering committee agreed to track, a success. But something was in the building that is no longer in the building, and the manager felt it first.

“I could not find the firm I wanted to hire, twenty years ago, when I first watched this pattern play out. By the time I had watched it happen thirty more times, I had decided to build it.”

I came to believe, over those years, that the industry I work in does not have a vocabulary for what gets lost in these programmes. We have a rich vocabulary for what gets gained. But the triad we evaluate transformations against — experience, cost, future readiness — misses the measure that actually matters: what the organisation is still capable of, six, twelve, twenty-four months after go-live. The slow accumulation of small losses. The quiet thinning of culture. The demo that gets polished, the workshop that gets shortened, the exception that gets routed into a backlog instead of a conversation. None of these, individually, is a scandal. Together, over the course of an eighteen-month programme, they are how a firm gets measurably colder.

Clover & Myrtle is the practice I wanted to find, twenty years ago, and could not. It is built on the observation that transformation is not a project you ship — it is a condition you cultivate. It is designed around the measure the industry does not count. It is conducted by the same hands, from proposal to post-implementation review twelve months later, with no pyramid of juniors and no implementation-partner kickbacks compromising the judgement. It is, by design, small.

The current wave — the one now being sold under the banner of artificial intelligence — is going to make the old pattern more acute, not less. The efficiency gains are real. The temptation to spend them on more volume, more speed, more dashboards will be enormous. Most of the market will take that path by default. That is why this firm exists. There is another path, and it is the one I intend to help organisations take.

Where this comes from

Twenty years, and the programmes behind the argument.

The argument on this page is not theoretical. It comes from having built these programmes, run them, and stayed to see what they left behind.

  • Secured CEO approval for a €15M business case at a global building materials manufacturer for its first global people platform, covering 90+ countries and 40,000+ employees, and rationalised 400+ hire-to-retire processes before configuration began.
  • Led the Workday deployment for 34,000+ employees and contingent workers across 200+ markets at a global travel platform, on a ~€30M annual HR operations budget.
  • Directed a $42M multi-country pay and time programme at a global sportswear brand, across Kronos and ADP for pay and time and SAP SuccessFactors for HCM.
  • Improved HR technology delivery quality by 50% and reduced critical payroll-impacting incidents by 90% at a private-equity-backed European retailer.

Roles held at Amazon, T-Mobile, Nike, Booking.com, Liberty Global, Intertrust and Knauf. MBA, Carlson School of Management. MSc Computer Science. English (native), Dutch (B2), German (A2).

Read the case studies →

The practice, as it stands

A solo practice, built to stay small by design.

The firm is one person, serving a small number of organisations at a time. This is a feature of the model, not a limitation of it. Below is what that means in practice.

Current availability

Taking new engagements from 15 September 2026. Interim, contract and advisory. Netherlands and Europe, on-site or hybrid; United States, remote.

Last updated 10 August 2026.

What I stand for

Five things that are non-negotiable.

These are not marketing claims. They are the standards the work is held to, independent of what any steering committee ever asks for.

On my use of AI

Where AI shows up in the work — and where it does not.

A firm whose central argument is that the AI wave will be mis-spent by most of the market has a particular obligation to be transparent about its own use of AI. So here it is, plainly.

I use AI the way a careful practitioner uses a second opinion — to pressure-test my arguments, surface blind spots, and stress-test scenarios before they reach you. The judgement remains mine. The writing is mine. The recommendations I make to your organisation are mine. But every material position this firm takes has been argued with, by me, against an AI that I have asked to disagree.

Specifically

  • Research and synthesis — catching up on a vendor release, digesting a regulatory change, or building a starting picture of an organisation's public position before a first call.
  • Argument testing — every practice description, every essay, every recommendation is tested against a model that has been asked to argue the opposite. If the position does not hold, it gets rewritten.
  • Scenario simulation — when a business case needs pressure-testing, I run it through simulations at a scale that would be uneconomic by hand. More of this will be visible in The Lab from autumn 2026.
  • Drafting support — getting a first version down faster, so more of my time can be spent on the thinking the draft then needs.

What I do not use AI for. I do not ghostwrite essays with it. I do not let it make recommendations to clients. I do not use it to draft proposals, price engagements, or compose the judgement paragraphs in a report. The conversations you have with this firm are with a person who has taken the time to think about them.

This policy will evolve as the tools evolve. When it changes, I will say so here, with a date. Transparency about my own practice is the cheapest way to earn the right to have opinions about yours.

On growing the firm

One practitioner today. The door is open for that to change.

Clover & Myrtle is a solo practice by current design, not by permanent principle. If the right colleague arrives — someone whose standards are my standards, whose judgement I trust the way I trust my own — the firm will grow to meet them. What will not change is the philosophy, or the scale at which any single engagement is conducted. Small enough to see everything.

Contact

Start a conversation.

A first call is thirty minutes. No preparation needed, no deck on my side, no deck on yours. If the conversation is useful and the fit is there, we take it forward. If it isn't, you leave with a view you did not have before.