Enterprise Tech Talk Podcast

AI agents are beginning to influence how customers discover products, compare alternatives, make purchasing decisions and manage their buying journeys.
In this episode of Enterprise Tech Talk, Saumitra Kalikar speaks with Charisma Glassman about the rise of agentic commerce and its implications for retail and consumer-goods organisations.
The conversation covers:
The shift from digital commerce to agentic commerce

The changing retail customer journey

Product data and machine-readable commerce

Connected customer profiles, APIs and governance

Brand differentiation in an agent-mediated market

Accountability when AI agents act

Retail operating-model and decision-rights changes

Measuring commercial value beyond productivity

Practical advice for CIOs, CTOs and retail leaders

McKinsey estimates that AI agents could mediate between US$3 trillion and US$5 trillion of global consumer commerce by 2030. This episode explores how retailers can prepare for that possibility without rushing into poorly governed experimentation.
Charisma Glassman is VP and Global Head of AI Advisory for Retail and CPG at Genpact. She has more than two decades of experience across retail, consumer goods, e-commerce, luxury, travel and financial services. She has been recognised among the Top 50 Asian Americans in Business and the Top 25 AI Consultants, and is also a TEDx speaker and Cornell Tech industry advisor in retail AI.
00:00 Introduction
02:03 Charisma’s journey into AI and retail transformation
03:18 Defining agentic commerce
05:00 The retail opportunity
07:21 Early agentic use cases
09:28 Customer experience and brand differentiation
15:34 Data, platforms and machine-readable commerce
20:56 Accountability and governance
22:50 The retail operating model
26:57 Measuring business value
29:19 From pilots to enterprise execution
31:08 Advice for senior leaders
34:00 Common mistakes to avoid
36:14 Closing
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About Charisma GlassmanChapters

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.
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ChaptersAbout the Guest

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.
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ChaptersAbout Peter Wardle

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
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Why do enterprises still struggle to connect systems and automate end-to-end processes after decades of investment?
Enterprise Tech Talk host Saumitra Kalikar is joined by Madhav Sivadas to examine why ERP platforms, middleware, APIs and RPA have improved parts of the enterprise—but have not eliminated fragmented processes, manual handoffs or integration complexity.
The conversation explores:
• Why traditional integration approaches have not fully solved the problem
• How an AI-powered mediation layer could connect disparate systems
• Why automation should target end-to-end outcomes, not departmental metrics
• What enterprises must learn from the RPA era
• When AI-augmented workflows are preferable to autonomous agents
• How intelligent transaction networks could transform B2B integration
About the Guest
Madhav Sivadas is an enterprise technologist and entrepreneur with nearly three decades of experience building enterprise software. He holds multiple patents, including one of the earliest in what is now known as Robotic Process Automation. As the Founder, CEO and CTO of Telligro, he is now building enterprise AI solutions that move beyond task automation to orchestrate end-to-end execution and measurable business outcomes.
Watch or listen to Episode 23 and share your perspective: can AI finally address the enterprise integration problem, or will it become another layer of complexity?
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