The AI already in your stack — SAP, Microsoft, Oracle — and what to do about it

Practitioner guides to the embedded AI capabilities shipping inside enterprise platforms right now. What's available, how to activate it, and when you still need to build custom.

Enterprise AI isn't about algorithms

It's about making core business systems smarter. I'm an SAP consultant and project manager — four years of S/4HANA delivery at Deloitte, and from August 2026 at KPMG. Alongside that I've co-owned two ventures and spent time in applied research at Newcastle University. That mix of delivery, entrepreneurship and academic rigour shapes how I evaluate AI — pragmatically, not theoretically.

The writing is separate from the day job. Everything here is independent, written in a personal capacity — no vendor pays me, and none of it is a service on offer. That's exactly why I can tell you when a vendor claim doesn't survive a read of its own documentation.

The companies getting the most from AI aren't chasing the latest model. They're embedding intelligence into the systems they already run on. That intersection — where enterprise architecture meets AI — is where I operate.

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Big 4
Consulting
S/4
SAP HANA
2x
Co-owner

Career path

KPMG — SAP Project Manager · Delivery (2026–)
Deloitte — SAP & Enterprise Transformation (2022–2026)
Shultz & Romijn — Co-owner
DutchInspect — Co-owner · Drone services
Newcastle University — Research Associate · Blockchain in Maritime

Where AI meets enterprise reality

I deliver SAP programmes for a living, and write about AI adoption across SAP S/4HANA, Microsoft Dynamics 365 and Oracle Fusion Cloud. Most AI commentary comes from data science. Mine comes from the systems that run businesses.

AI × Enterprise Transformation

Where AI creates real value inside ERP systems, supply chains and core business processes — not in isolated proofs of concept.

SAP & Intelligent Systems

Deep expertise in S/4 HANA, BTP, and the emerging AI layer (Joule, AI Core). Understanding how the enterprise backbone evolves with intelligence.

The Business Case for AI

AI capabilities translated into the language leadership cares about: ROI, risk, operational efficiency and competitive advantage.

Change Management

Technology transformations fail or succeed on people. I've run adoption programmes across thousands of users in complex organisations.

Cross-functional Leadership

Bridging IT, finance, operations, and executive stakeholders. Making sure technology decisions align with how the business actually operates.

Entrepreneurial Execution

Two ventures built from scratch. I think commercially about technology — evaluating AI initiatives through the lens of real business impact.

Enterprise AI — what's actually available

Module-by-module guides to the AI capabilities shipping inside your enterprise platforms. What works, how to enable it, honest limitations.

Tools, not opinions

Free, no email gate. Built from the same sourced research as the guides — point them at your own stack.

Between the Hype

A biweekly newsletter on where enterprise systems and AI actually intersect. Not the keynote version. The version you need on Monday morning.

Compare notes

Always up for comparing notes on enterprise AI — what's actually working inside real systems, and what isn't. The newsletter is the best way to follow along; LinkedIn is the best way to reach me.

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