Most digital transformation gets sold backward. Buy the tool, hope the business catches up around it. We do it in the order that actually works. Look under the engine first. Fix the operating model and the processes. Then automate what's repeatable. Then, and only then, add AI where it earns its place. Sometimes that's not at all, and we'll tell you that too.
Tick the ones that sound like your company.
Nobody automated the obvious first, so the AI layer sits on top of a mess and just makes the mess faster. Six months later, it's shelfware, and the vendor's already gone.
We've run 60+ digital transformation projects across distribution, SaaS, consulting, manufacturing, services. The failures all looked the same. The businesses that skipped the groundwork paid for the tool twice.
Free 5-min scorecard
Before you touch any tool: take the free AI Implementation Scorecard and see exactly where the gaps are.
Take the scorecardYou don't have to go through Structure or Scale first. But we won't build automation or deploy AI on top of a business we haven't actually assessed. That's a workshop-based diagnostic, not a form you fill in alone. The things that determine whether technology sticks aren't visible from the outside.
01
How work actually moves today, not the version on the org chart.
02
Whether your team has the skill and the capacity to run what gets built, or whether that has to be part of the plan too.
03
Whether there's an actual documented direction AI or automation is meant to serve, or whether it would just be technology in search of a purpose.
04
Where it lives, how clean it is, whether it's usable at all before anything gets built on top of it.
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Whether the organisation is genuinely open to changing how it works, and whether leadership is ready to model that first.
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What you're running on, what's legacy, what would break under anything new.
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Whether there's any policy for how AI gets used, checked, and trusted, before it touches a real decision.
Out of that, we tell you exactly what's worth automating, where AI would genuinely help, and where it wouldn't. Sometimes the honest finding is that you need better processes and a better-trained team, not a single new tool. We are completely transparent and say that when it's true.
Roles, decisions, and processes have to exist and make sense before you automate them. You can't automate a process nobody agreed on.
Before any AI, we connect the tools you already have so information stops getting copied by hand between spreadsheets. Removes more manual work than most companies expect, and costs almost nothing.
Every AI layer has to answer one question: what decision does this help someone make better, or what task does it take off someone's plate entirely? If it can't answer that, we don't build it.
Better processes and a properly trained team solve more problems than most founders expect. It's also cheaper than automation you're not ready for.
Free · 3-minute AI maturity read
Ten questions across data, use cases, adoption, and governance. Score, profile, and the honest read on whether the next bet is foundations, workflows, or repositioning.
Real workflows, not the version on a slide. This usually surfaces the real bottleneck, and it's rarely where anyone expected.
Operating model, processes, people, strategy, data, culture, infrastructure, governance. Together, not as a checklist you fill out alone.
If roles, processes, or decision-making aren't solid yet, we say so before touching any technology.
Connecting the tools you already own, removing the manual copying and re-entering, before adding anything new.
We build it through WinHarq, where a genuine AI layer serves your team or your clients better than a person doing it manually could.
No proprietary lock-in, no dependency built in on purpose. Tools change constantly. What we build is designed to survive the next one.
Piece 01
01People spend time thinking and closing, not copying data between systems.
Piece 02
02A clear read on whether AI is actually worth it for you right now. Not a sales pitch dressed as a recommendation.
Piece 03
03Automation and AI built in the sequence that actually sticks, so it still gets used six months from now.
Piece 04
04Documented and transferable. Not tied to us or to a single vendor.
Piece 05
05Where it fits, real infrastructure already working in other businesses. Not a first-time experiment on your budget.
+25%
YoY profitability
Logistics, supply, manufacturing and sales ran as four separate companies inside one. We rebuilt structure, assigned real KPIs, sat in the boardroom until the model held, and delivered full digital transformation connected end to end.
24,000+
people upskilled across 12 countries
Reskilling was scattered and informal. We designed the full L&D strategy, built a custom LMS tied to their skill matrix, and raised capability from ad hoc training to a structured programme where every path closed a real gap.
09 · Apply for Digital Transformation