Mario Thomas

From Implementation to Investment: Practical AI Governance

In this month's newsletter, I'm highlighting my April articles that provide practical guidance on implementing AI governance while driving meaningful transformation.

These pieces address crucial challenges facing boards and executives: how to implement predictive decision analytics, build future-ready teams through strategic upskilling, and create business cases that capture AI's unique value creation patterns. Together, they form a pragmatic guide for organisations moving beyond theoretical discussions to practical implementation.

If you have limited time, I particularly recommend "Implementing Decision Analytics" for its concrete roadmap and "Rethinking Business Cases" for its fresh approach to evaluating AI investments beyond traditional frameworks.

As always, I welcome your thoughts on these topics. Which implementation challenge is most pressing for your organisation right now?

-Mario

Rethinking Business Cases in the Age of AI: Creating the Foundation

Published 28 April 2025 | 14 minute read

This article explores the five essential building blocks for effective AI investment evaluation: Strategic Purpose, Value Spectrum, True Investment Profile, Readiness Reality Check, and Scaling Potential. Learn how to create business cases that capture AI's multi-dimensional value while maintaining financial discipline, illustrated with practical examples from across industries.

Rethinking Business Cases in the Age of AI: What Boards Need to Know

Published 22 April 2025 | 11 minute read

Traditional business cases fail to capture AI's unique value creation patterns. Drawing from my experience developing AWS's cloud business case tools, I explore why conventional ROI models struggle with AI's parallel, multi-speed adoption patterns and introduce a new evaluation framework that accounts for AI's diverse cost structures and capability synergies.

Upskilling for the AI Era: Building a Future-Ready Workforce

Published 14 April 2025 | 15 minute read

With the global AI talent gap widening, internal upskilling offers the most sustainable path forward. This article provides a segmented approach to AI literacy across four key groups, outlines the five essential components of effective upskilling, and details a three-phase implementation plan that balances immediate needs with long-term capability building.

Implementing Decision Analytics: A Practical Guide for Boards

Published 3 April 2025 | 11 minute read

This practical roadmap for implementing AI-powered decision analytics explores how to select relevant predictive indicators aligned with the Well-Advised Framework. Learn how to build essential technical foundations, overcome key implementation challenges like explainability and bias, and establish a board-aligned AI Centre of Excellence.

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