Digital Transformation

“Digital transformation fails when it is treated as a technology deployment. It succeeds when it is understood as an organisational change that technology enables. The technology is rarely the hard part.”

The leadership, the process redesign and the cultural shift that make technology stick — those are what determine whether the investment delivers or disappears into the organisation’s list of expensive lessons. I have led and advised on digital transformation programmes across ERP implementation, shared service centre design, supply chain digitalisation and the introduction of advanced manufacturing technologies including AI and agentic AI. The emergence of agentic AI — systems that can plan, decide and act autonomously across complex workflows — represents the most significant shift in operational capability since the internet, and organisations that treat it purely as a technology decision will make the same mistakes that have defined every previous wave of digital transformation. In every case, the organisations that succeeded were the ones that got the operating model and the people dimensions right before they specified the technology. With AI, that discipline matters more than ever.

What I bring:

Systems thinking: An engineering background means I ask how the components interact before specifying the solution — which tends to surface the interdependency problems that derail programmes before they start.

Operating model clarity: Digital tools should fit the operating model. The operating model should not be redesigned to fit the tool. I design the operating model first and work backwards to the technology specification.

Technology independence: I am not aligned to any vendor, platform or technology partner. My only interest is in what actually works for the organisation in front of me.

Change leadership: The hardest part of any digital programme is ensuring the organisation is capable of using what has been built, and willing to. I design and lead the change management programmes that make adoption real rather than nominal.

Areas of particular depth:

AI strategy: Specifically the people, process and governance dimensions — how organisations build the capability to use AI well, manage the workforce implications and avoid the failure modes that are already well documented.

Supply chain digitalisation: Digital inventory, digital warehouse, demand planning systems, IoT integration and digital twin.

Shared service centre design and implementation: Feasibility, business case, operating model design and implementation oversight — with direct DACH experience including works council navigation.

Using AM in Supply Chains
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Supply Chain and Operations Transformation

ADDITIVE MANUFACTURING in Supply Chains

Digital Transformation

Programme Management