Publications

by Didier Vila, PhD – Founder and MD of Alpha Matica and by Marta Smith,Poland MD, McGregor Boyall Associates Ltd AI does not create value by itself; it amplifies the quality of the underlying operating model. In well-designed organisations it accelerates value flow. In bureaucratic ones it accelerates waste, technical debt, and downstream chaos. This is the central finding of Google Cloud’s 2026 DORA research into AI-assisted software development. [2] The core problem is coo

GenAI breaks “more revenue → more people → more layers.” It flattens orgs into human–AI networks. Governance must be artefact-driven (logs, code, pipelines as truth). Small teams own full cycles; talent splits into AI-orchestrator generalists and deep specialists. Leaders need algorithmic literacy + empathy, and should sample raw artefacts—not slides. Redesign structure or you scale friction, not ROI.

by Didier Vila, PhD – Founder and MD of Alpha Matica. The early alarms over skyrocketing Generative AI (GenAI) costs have faded into tactical mastery. By November 2025, enterprises have tamed the basics—treating tokens as currency and deploying caching, batching, and fine-tuning to curb API bills. Yet this progress has spotlighted a deeper layer: the Total Cost of Ownership (TCO), encompassing latency drags, infrastructure complexities, and initiatives that hum along but fail

by Didier Vila, PhD – Founder and MD of Alpha Matica. In the modern digital economy, the ability to deliver value to customers quickly and reliably is not just a competitive advantage; it is a prerequisite for survival. Organisations invest heavily in tools and methodologies to accelerate their delivery, yet many struggle to escape the friction of traditional structures and processes. The key to unlocking sustainable speed lies in a powerful combination: an intentional organi

By Didier Vila, PhD - Founder and MD of Alpha Matica and Alberto Barroso, PhD - Global Head of Decision Science at Tetra Pak* The emergence of intelligent agents, capable of learning, adapting, and executing complex tasks, is heralding a new era of automation. Of course, this new technology will require scientific supervision, continuous audits and robust governance with human supervision. However, this isn't just about efficiency gains; it's about a fundamental shift in how

by Didier Vila, PhD – Founder and MD of Alpha Matica. The proliferation of Large Language Models (LLMs) has sparked a wave of excitement in the business world, promising a future where automation reigns supreme. However, harnessing the true power of generative AI requires a holistic approach that extends far beyond merely adopting the latest model. It's a dynamic equation where knowledge management, rigorous performance measurement, and a relentless pursuit of improvement con

by Didier Vila, PhD – Founder and MD of Alpha Matica. The endless creation of Large Language Models (LLMs) has led to the emergence of AI Agents – intelligent entities capable of automating tasks, analysing data, and generating content. This unstoppable dynamics marks a significant turning point and transformative moment for organisations of all sizes and across industries. However, for a successful implementation of AI Agents into any organisational structure, a comprehensiv