Enterprise Tech Talk Podcast

AI is transforming software engineering, enabling smaller development teams to deliver more while challenging traditional approaches to architecture, engineering skills and technology leadership.

But generating code faster doesn't automatically mean building better software.

In this episode of Enterprise Tech Talk, host Saumitra Kalikar speaks with Brian Childress, an experienced CTO and engineering leader, about the opportunities and challenges of AI-assisted software development.

Drawing on his experience building and modernising complex software platforms, Brian explores why strong engineering fundamentals remain essential, even as AI agents take on more development responsibilities.

The conversation covers:

• How AI agents are reshaping software development workflows

• Smaller engineering teams and the changing economics of software delivery

• AI-generated code, technical debt and architectural guardrails

• The evolving skills and responsibilities of software engineers

• AI-enabled product owners and new engineering operating models

• Automating architecture and governance reviews

• The importance of hands-on technical leadership

• Practical priorities for CIOs and CTOs adopting AI development tools

00:00 – Introduction and Guest Welcome
01:41 – How AI Is Changing Software Development
04:14 – Building Enterprise-Grade Software with AI
06:10 – The SaaS Debate: Build vs Buy
09:01 – Smaller Engineering Teams and AI Productivity
11:42 – Bottlenecks Beyond Code Generation
14:37 – Software Architecture and AI Engineering Guardrails
17:32 – Trust, Code Reviews and Engineering Judgement
20:56 – Developing the Next Generation of Engineers
23:29 – Emerging Engineering Skills
25:03 – Product Owners Building with AI
28:20 – Engineering Teams, Roles and Capacity Planning
31:19 – Automating Architecture and Governance Reviews
35:09 – The Hands-On CTO
37:44 – Advice for Technology Leaders

Brian Childress has over two decades of experience in software engineering and architecture across startups and large financial institutions. He holds multiple US patents in software design and application security and specialises in simplifying complex systems, improving delivery and helping engineering teams adopt AI effectively.

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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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#EnterpriseIntegration #EnterpriseAI #AgenticAI #Automation #EnterpriseArchitecture

Enterprise leaders are expected to lead through constant change, market pressure, transformation fatigue and AI-driven uncertainty. But how long can leaders sustain high performance if their health, energy and resilience are quietly being depleted?

In this episode of Enterprise Tech Talk, host Saumitra Kalikar speaks with Dr. Pat Boulogne about burnout, AI anxiety and executive performance.

Dr. Pat explains why exhaustion should not be treated as proof of commitment, why burnout affects decision quality and leadership behaviour, and why sustainable performance depends on protecting recovery, sleep, hydration, nutrition, boundaries and nervous system regulation.

The conversation explores:

• Why chronic under-recovery is often disguised as ambition

• How stress and burnout affect judgement, clarity and emotional regulation

• Why AI uncertainty is creating a new layer of workforce anxiety

• How leaders and employees can build adaptability under pressure

• Why organisations need healthier performance cultures, not just wellness programs

• Practical habits leaders can use to protect energy, focus and resilience

Dr. Pat also shares practical insights on sleep consistency, hydration, food choices, recovery resets and the importance of measuring performance inputs with the same discipline leaders apply to business metrics.

This episode is for senior business leaders, technology executives, transformation leaders and people leaders navigating pressure, uncertainty and the human side of enterprise change.

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About the GuestDr. Pat Boulogne is a performance optimization strategist, executive coach and international bestselling author with more than 30 years of clinical and functional medicine experience. She helps executives and high-achieving leaders identify the hidden constraints — poor sleep, nervous system overload, decision fatigue and energy instability — that quietly erode judgment, resilience and performance under pressure.

By integrating functional medicine, strategic performance coaching and mindset mastery, Dr. Pat helps leaders build sustainable capacity so health and performance strengthen each other instead of trading off.

She is also the author of Why Are You Sick, Fat, and Tired?: Find Out Now.

In this episode of Enterprise Tech Talk, host Saumitra Kalikar speaks with strategy and innovation advisor Noel Sobelman about the organisational disciplines that separate successful strategy execution from good strategic intentions.

The conversation explores why strategy often breaks down during investment planning, how portfolio management influences business outcomes, why organisations struggle to stop low-value initiatives, how leaders should allocate scarce talent, and what effective governance looks like in today's AI-driven enterprise.

Noel also shares practical insights from more than 25 years advising global organisations, together with perspectives from his new book Innovation Portfolio Management: Linking Strategy to Execution.

Whether you're a CIO, CTO, Enterprise Architect, Product Leader or Transformation Executive, this episode provides practical guidance on connecting strategy, investment and execution.

Listen for insights on:

• Why strategy execution fails

• Portfolio management and investment prioritisation

• Eliminating "zombie projects"

• Resource allocation and organisational capacity

• Measuring strategic outcomes instead of project outputs

• AI's role in strategic planning and portfolio management

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Generative AI has made it easier than ever to build impressive prototypes. But turning those prototypes into secure, reliable and cost-effective enterprise systems is a very different challenge.

In this episode of Enterprise Tech Talk, host Saumitra Kalikar speaks with Adam Witanowski about AI Engineering and what it takes to move from prototype hype to production reality.

Adam brings deep experience across software engineering, AI architecture, startups, consulting and enterprise delivery. The conversation explores why AI engineering is becoming a distinct discipline — not because traditional software engineering no longer matters, but because AI-generated delivery changes the speed, scale and risk profile of the entire software delivery lifecycle.

Key topics include:

• Why AI engineering is more than prompt engineering or model selection
• The difference between AI prototypes and production-grade systems
• Harness engineering and meta-harnessesPolicy-as-code, runtime controls and enterprise guardrails
• Vibe coding vs spec-driven and goal-driven development
• Loop engineering, token cost and context driftTesting, evals and the changing role of QA
• RAG, long-context models, knowledge graphs and enterprise memory
• AI governance, security, FinOps and responsible adoption

The key message: enterprise AI success will not come from model choice alone. It will come from the engineering systems, context layers, governance controls and guardrails organisations build around AI.

This episode is designed for CIOs, CTOs, enterprise architects, software engineering leaders, AI leaders, product leaders and technology executives navigating the next phase of enterprise AI adoption.

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Healthcare is evolving beyond traditional models of treatment and into a future centred on prevention, digital engagement and connected care.

In this episode of Enterprise Tech Talk, Saumitra Kalikar is joined by Matt Young, Lead Enterprise Architect at Medibank, to discuss the forces reshaping healthcare across Australia and globally.

The conversation explores how healthcare organisations are responding to workforce shortages, ageing populations and rising costs through technology-enabled care models. Matt shares insights into preventative healthcare, wearable technologies, AI adoption, interoperability, virtual care, Hospital-in-the-Home programs and the future of digital health.

Key topics include:

• Preventative healthcare and wellbeing
• Consumer-driven healthcare experiences
• AI and healthcare automation
• Clinical and non-clinical AI use cases
• Data interoperability and FHIR standards
• My Health Record and Australian digital health initiatives
• Virtual care and Hospital-in-the-Home
• Emerging healthcare technology trends
• Precision medicine and the future of healthcare

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