Your processes are mostly mature. Your decisions probably aren’t. And that gap is where the next decade of operational performance will be won or lost.

Over twenty years of Lean, Six Sigma and process excellence have made organisations remarkably good at improving processes. AI has changed what scarcity looks like. Information is no longer expensive, decisions are no longer few, and the old question - How do we make this process more efficient? - is no longer the one that matters most.

The question now is: Are we making the right decisions, consistently, at the moments that matter?

The Decision-Centric Enterprise is a practical guide for operations directors, transformation leaders and executives responsible for improving how organisations actually perform in the age of AI.

The book opens with Maya, a claims handler whose desk hasn’t changed in ten years, but whose work has. The routine cases that once filled her day have been absorbed by automation. What remains is judgement - all day, every day. Her story captures the central argument of the book: AI rarely removes work. It redistributes where the hard thinking happens.

From there, Thomas Thron introduces a practical framework for building organisations around better decisions rather than better processes. You’ll learn how to:

• Identify the few decisions that matter most using a simple prioritisation method based on frequency, stakes and room for improvement.

• Improve decision quality using six practical dimensions, while recognising the trade-offs that every important decision requires.

• Design effective human-AI decision systems, choosing deliberately where judgement belongs instead of drifting into accidental operating models.

• Lead organisational change by understanding how decision systems redistribute influence, expertise and status—and why resistance is often rational.

• Build tomorrow’s experts when AI has automated away the routine work that traditionally created them.

Every chapter includes practical diagnostics and “Apply This Tomorrow” exercises, building into a seventeen-artefact Field Manual that includes a decision inventory, decision mapping templates, quality assessments, decision rights matrices, maturity models, implementation roadmaps, change tools and pre-mortems. Fully worked examples from insurance, pharmaceutical manufacturing and supply chain show how the approach transfers across industries.

Unlike many AI books that either inspire without explaining how to act or disappear into technical detail, The Decision-Centric Enterprise stays focused on what AI actually changes: the cost, speed and scale of decisions. It is equally clear about what AI does not change. Judgement, responsibility, trust and accountability remain fundamentally human.

Whether you’re running a manufacturing operation, a claims function, a supply chain, or an enterprise transformation programme, this book provides a practical roadmap for the next stage of operational excellence.

Lean gave us the process map.

The AI era needs the decision map.

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THE DECISION-CENTRIC ENTERPRISE

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