Operating Models for Solid Foundations Part 1 - The Model You Didn't Choose

Part 1 of 2 in our Operating Models for Solid Foundations series.

Most large enterprises have project frameworks, architecture tollgates, and governance processes — and still end up with three separate "central" data platforms. In this episode, James makes the case that fragmented technology portfolios aren't a delivery failure. They're the downstream consequence of an operating model that was never explicitly chosen. Sarah comes in sceptical. By the end she's unsettled — and sees for the first time why so many of the data problems she's spent her career fixing kept coming back.

What we cover:

• Why "operating model" is a specific strategic choice — not a generic description of how the business runs — and the two axes that define it
• The four operating model types (Diversification, Coordination, Replication, Unification) and why each implies a completely different architecture and funding logic
• How architecture tollgates become rubber stamps when they're disconnected from investment decisions — and what a real IT engagement model looks like instead
• The "three central data platforms" problem: why every team that built one was responding rationally to the signals they were given
• How DBS Bank cut AI deployment time from 18 months to under 5 months — not through better models, but through an explicit operating model and funded platform foundations
• Why delivery teams that do everything right — including funding the operational run budget — still see their platforms degraded by sweeping opex cuts they had no language to resist

"The wiring can't be right if nobody decided what the building is supposed to do."

Key references:

• Ross, Weill & Robertson — Enterprise Architecture as Strategy (MIT CISR), foundational operating model framework: https://cisr.mit.edu/publication/enterprise-architecture-as-strategy
• MIT CISR, architecture learning and management practices that help EA create value: https://cisr.mit.edu/publication/2012_0901_ArchitectureLearning_RossQuaadgras
• McKinsey — DBS Bank platform transformation and AI deployment case: https://www.mckinsey.com/capabilities/tech-and-ai/how-we-help-clients/rewired-in-action/dbs-transforming-a-banking-leader-into-a-technology-leader
• INFORMS — UPS ORION route optimisation, built on unified operational data foundations: https://www.informs.org/Impact/O.R.-Analytics-Success-Stories/UPS

Better AI still starts with better foundations.

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