Most organizations evaluate private cloud and HCI platforms by running a technical POC. The POC passes. The platform fails. The reason is structural — and fixable. The Platform Fitness Evaluation Model (PFEM) tells you what to measure instead.
Enterprise architecture maturity is not a feeling. It is a score. Organizations that cannot measure their architecture maturity cannot improve it. The EAMS model gives you the score.
One ADR template does not fit every architectural context. Five purpose-built variations — for standard decisions, agentic AI, cross-domain impact, fast delivery, and high-risk reversals — plus governance automation to make the system run without manual follow-up.
Most enterprises build data architectures one layer at a time. Business, logical, and physical layers exist as separate artefacts owned by separate teams. That separation is the structural gap that makes data estates ungovernable.
Organisations debate batch versus real-time as if it is a technical preference. It is not. It is a structural mismatch between data freshness and decision cadence — and the mismatch is where the cost lives.