Keynote speaker · Author of Coherence
Agentic AI made execution cheap, and the fastest-executing teams no longer win by default. Dr. Madhu Shashanka shows boards and executive teams what replaces speed as the durable advantage, and how to build it.
The signature keynote
For a decade, the fastest-executing teams won. Then agentic AI handed everyone speed at once, and overnight, execution stopped being an advantage. This talk shows leaders what replaces it: coherence, the organizational architecture that makes AI autonomy effective and trustworthy at scale. Equal parts provocation and playbook, it ends with one uncomfortable question for their own organization, and a tool to answer it.
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Keynotes and firesides with enterprise and technology leaders.
Madhu was a valued speaker at this year's Dublin Tech Summit, bringing deep expertise in AI and enterprise technology to our programme. We would be honoured to welcome him back.
An exceptional speech on AI's past, present and future that was eye-opening, interactive and inspiring. He spoke with true passion for his craft.
The final talk on the main stage at Dublin Tech Summit 2026... a fascinating session, and a fitting grand finale to an amazing event.
From the book
The arguments executives take back to the room. The through-line of every talk, essay, and workshop.
For a century, organizations existed to allocate scarce execution. Now that execution is nearly free, the job inverts: maintaining coherence among abundant autonomous systems. The old structures are quietly failing at it.
Every autonomous system adds coordination cost that compounds invisibly. Like technical debt, before it had a name, but accumulating faster, because deploying AI now takes almost no effort at all.
When every competitor can buy the same models and the same data, none of it confers advantage. The durable edge belongs to the organization that has made itself coherent, the one thing a vendor cannot sell.
Coherence is the link between what your systems do and what you intend. Your intent stays yours. The reasoning that turns it into decisions does not, once every rival runs the same models. Shared reasoning carries shared blind spots, so each firm can be right on its own terms while all of them fail together. That was 2008.
About
He studies how large numbers of independent units become coherent, first in the brain, now in the enterprise.
Madhu earned his PhD in computational neuroscience studying how the brain coordinates vast numbers of independent units into coherent behavior, then spent two decades applying that lens to organizations, building and deploying enterprise AI across manufacturing, financial services, social media, and cybersecurity.
His book Coherence: The Competitive Advantage AI Can't Buy brings the two halves of that career together: what the science of coordinated systems reveals about competing in the age of abundant intelligence.
Coherise takes its name from a verb he coined: to coherise is to make a growing crowd of autonomous systems, and the people accountable for them, pull in the same direction. It is the work his book argues will decide which enterprises win.
Madhu's doctoral work explored how the brain separates overlapping sources from a single audio recording. The enterprise version is harder: the sources are autonomous systems, they act simultaneously, and no one has the recording. He tackles these challenges with a rigor rarely found in management books.
Endorsements
This is the clearest framework I've seen for a problem most organizations don't yet know they have.
He has taken a hard-won lesson from systems engineering and shown it is now an organizational law.
AI does not fix a messy organization, it magnifies it. Point powerful agents at an incoherent enterprise and you scale the incoherence.
Madhu makes the compelling case that the harder challenge is building smarter organizations.
Alongside a wider group of enterprise and technology leaders:
The book · Forthcoming Fall 2026
A theory of how enterprises compete when AI makes execution abundant. Rigorous enough to change a deployment decision, specific enough to act on a Monday.
The framework
The one-page decision tool from the book, plus occasional essays on coherence in the agentic enterprise. No noise.
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