Enterprise Tech Talk Podcast

About Enterprise Tech Talk Podcast

Enterprise Tech Talk is your premier source for discourse on current complex enterprise technology challenges such as AI adoption, cyber security, technology strategy, governance and OpModels and emerging technology trends. We engage senior technology professionals to make challenging IT topics accessible to a wider audience. Tune in expert insights and the latest technology trends!

Publisher

EnterpriseTechTalk

Category

technology

Language

en

Explicit

No

First episode

9 Dec 2025

Latest episode

26 Sept 2026

Latest episodes

25 episodes in the feed.

1. 

   26 Sept 2026

   When Transformation Drifts: Fixing Ownership, Decision Rights and Organisational Friction

   Transformation rarely fails overnight. More often, it gradually drifts away from its original intent. In this episode of Enterprise Tech Talk, Saumitra Kalikar speaks with Daniel Roth, Founder and CEO of PangeaEffect and author of The E³ Effect, about the organisational conditions that determine whether transformation actually delivers results. They explore how competing priorities, unclear ownership, decision rights, cross-functional dependencies and organisational friction can gradually separate strategy from the work happening across the enterprise. The conversation also examines why organisations struggle to stop lower-value initiatives, how governance can shift from an enabler to bureaucracy, and why autonomous teams can individually succeed while the overall enterprise outcome still suffers. Daniel also explores AI through the same lens: organisations can invest in powerful technology, but AI can amplify the processes, governance and operating conditions already present—both good and bad. In this episode: • Recognising the early signals of execution drift • Ownership and decision rights across complex organisations • Balancing team autonomy with enterprise outcomes • Stopping work that no longer supports priorities • Removing organisational friction from transformation • AI adoption as an operating-model challenge • The E³ framework: Enable, Empower and Endeavor • Practical advice for CIOs, CTOs and transformation leaders 00:00 – Introduction 02:49 – Why transformation struggles despite a sound strategy 08:03 – Recognising execution drift 11:15 – Leadership and clarity 15:01 – Operating models and cross-functional ownership 18:34 – Decision rights and governance 21:56 – Competing priorities and organisational friction 24:29 – Stopping lower-value work 29:50 – Leadership communication and change 32:47 – AI and the operating model 36:15 – Creating the conditions to scale AI 39:06 – The E³ Effect 42:58 – Advice for CIOs and transformation leaders 44:51 – Closing takeaways Daniel Roth is the Founder and CEO of PangeaEffect and author of The E³ Effect. Over more than 27 years, he has led business and technology-enabled transformations across complex organizations, with responsibility for large teams, P&Ls, customer experience, operating models, technology adoption, and performance improvement. His work focuses on helping organizations turn strategy and emerging technology, including AI, into measurable operational results by aligning people, process, governance, technology, and execution. Visit EnterpriseTechTalk.com for more conversations and insights for enterprise technology leaders. ChaptersAbout the Guest

2. 

   20 Sept 2026

   From Governance Theatre to Continuous Assurance: Why Transformation Risks Stay Hidden

   Why do transformation programmes continue to report green status until costs escalate, timelines move and expected outcomes become difficult to achieve? In this episode of Enterprise Tech Talk, Saumitra Kalikar speaks with Peter Wardle about why transformation risks remain hidden and how organisations can move from periodic governance reviews towards continuous, evidence-based assurance. The conversation examines the gap between strategic intent and delivery reality, the human behaviours that prevent bad news from travelling, the limitations of RAG status and the risks created by fragmented reporting across spreadsheets, project tools and governance packs. Peter explains how Delivery Intelligence and his MAST approach bring together project reviews, stakeholder feedback and portfolio insight to help leaders identify emerging risks, test assumptions, understand dependencies and make better decisions before problems become difficult to reverse. The episode also explores the role of AI in programme governance. AI can identify patterns, anomalies and inconsistencies across large volumes of information, but it cannot create reliable insight from incomplete or misleading data. Human judgement remains essential. 00:00 Why transformation risks remain hidden 01:53 Why green programmes fail 04:43 Why bad news does not travel 09:09 Losing strategic intent during delivery 11:30 The limits of traditional governance 15:45 Fragmented information and reporting 18:15 Better metrics for programme confidence 22:25 Understanding continuous assurance 33:02 From assurance to Delivery Intelligence 39:37 When initiatives lose strategic relevance 42:03 AI in programme governance 48:06 Practical advice for executives 50:36 Closing reflections Peter Wardle has spent more than 25 years leading complex transformation across utilities, transport, government and financial services. He helps organisations spot delivery risks early, recover troubled programmes and make better decisions about major investments. Peter founded Intelligent Assessments, a platform that makes assessments and assurance easier to run and act on. He also created MAST, which brings together project reviews, stakeholder feedback and portfolio insight to give leaders a clearer view of where action is needed. Visit Enterprise Tech Talk: https://www.enterprisetechtalk.com (https://www.enterprisetechtalk.com/) Follow Enterprise Tech Talk for practical conversations on enterprise technology, AI, strategy, architecture, governance and leadership. ChaptersAbout Peter Wardle

3. 

   30 Aug 2026

   How Can Non-Engineering Teams Adopt AI at Scale?

   AI is now widely available across the enterprise, but many organisations are still struggling to embed it into everyday business workflows. In this episode of Enterprise Tech Talk, Saumitra Kalikar speaks with Ohad Ronen, AI transformation leader at Amdocs, about how non-engineering teams can move from AI experimentation to real adoption at scale. The discussion explores why AI adoption in Finance, HR, Legal, Sales, Marketing and Operations is different from engineering adoption, why pilots often fail to become operational practices, and why business teams need more than access to tools. Ohad shares practical lessons on AI domain builders, business outcome leads, hub-and-spoke governance, AI ROI, task-level economics, and the emergence of AI agents as digital employees. This conversation is particularly relevant for CIOs, CTOs, CHROs, CFOs, enterprise architects, transformation executives and business leaders responsible for scaling AI beyond technology teams. About The Guest: Ohad Ronen is an AI transformation and product leader at Amdocs, focused on helping non-engineering teams adopt AI in governed, repeatable and measurable ways. He brings more than a decade of startup and product-building experience, and works at the intersection of enterprise AI adoption, business transformation, AI automation and digital labour. 00:16 — Introduction: AI adoption beyond engineering 01:42 — Ohad Ronen’s journey from startups to enterprise AI transformation 03:33 — Why business teams face different AI adoption challenges 09:50 — Tool access vs real AI adoption 14:48 — Why AI pilots fail to scale 20:05 — Rethinking processes instead of just automating them 23:04 — What engineering teams and vendors miss about business functions 33:03 — Hub-and-spoke governance for AI adoption 37:20 — Where enterprise AI strategy should sit 41:22 — Measuring AI value, ROI and AI economics 49:43 — AI agents and digital employees 53:13 — Key lessons for enterprise AI transformation Listen to more episodes and read expert articles at: https://www.enterprisetechtalk.com (https://www.enterprisetechtalk.com)

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