Practical perspectives on enterprise SAP, cloud, digital transformation, and data — written by the principals who run the programmes, not a content team.
Why fit-to-standard fails — and what to do instead
Every S/4HANA implementation starts with the same promise: adopt SAP best practices, minimise customisation, reduce TCO. Three years in, most programmes have rebuilt half of ECC in the new system. Here is why that happens and how to avoid it.
FinOps beyond right-sizing: the governance layer most teams skip
Workload right-sizing saves money once. The governance layer — tagging standards, showback reporting, commitment management — is what keeps cloud spend rational as the footprint grows. Most FinOps programmes stop too early.
The 90-day adoption cliff: why transformation programmes stall after go-live
Go-live is not the end of a transformation programme — it is the beginning of the hardest part. The first 90 days determine whether the investment is realised or quietly abandoned. These are the six signals that predict which way it will go.
Deploying Gen AI to production: the guardrails enterprises actually need
Most Gen AI proofs-of-concept never reach production. The gap is not the model — it is audit trails, access controls, hallucination handling, and data residency. Here is the governance architecture that gets AI from pilot to go-live.
What vendor-neutral advice actually means (and why most consultants cannot give it)
Every major consultancy claims to be vendor-neutral. Most have preferred-partner revenue targets that make genuine neutrality structurally impossible. Here is what to ask to find out which camp your advisors are in — before you sign.
The programme rescue playbook: diagnosing a stalled transformation
When a programme is in trouble, the instinct is to add resources and accelerate. It is almost always the wrong move. The first step is a diagnostic sprint that separates root causes from symptoms — before anyone touches the schedule.