Discover Dialogues

About Discover Dialogues

Explore candid Interviews, Q&A's with C-suite leaders on strategic leadership and management, Leadership Challenges, and Leadership Accountability.

Publisher

TechDogs

Category

technology

Language

en

Explicit

No

First episode

20 Feb 2026

Latest episode

8 Oct 2026

Latest episodes

90 episodes in the feed.

1. 

   8 Oct 2026

   AI In Customer Experience Needs Trust, Not Just Automation Ft. Anshuman Singh, CEO, EMEA At HGS

   In this episode of TechDogs Discover Dialogues, host Jemish Sataki, Senior Content Lead at TechDogs, sits down with Anshuman Singh, CEO, EMEA at HGS, to explore how AI is reshaping customer experience, customer service, trust, enterprise transformation, and leadership.The conversation begins with Anshuman’s professional journey across architecture, product design, IT, user experience, digital marketing, e-commerce, self-service, and customer experience transformation. He explains how his design background naturally pulled him toward the front end of information technology, where customer behavior, service design, and business outcomes meet.A central theme of the episode is that customer experience should not be designed around channels alone. Anshuman explains that enterprises often organize CX around websites, chat, email, or phone support, but the more important distinction is between transactional experiences and deeply meaningful experiences. Routine, mundane, and informational interactions can be automated, but emotionally charged, high-stakes, or deeply meaningful moments still need human empathy and judgment.The discussion also explores where AI is adding value in customer service today. In This Episode, We Cover:• Anshuman’s journey from architecture and product design to CX transformation• Why customer experience should focus on outcomes, not only channels• How the Kano model can help enterprises understand customer satisfaction• Why customer experiences are becoming K-shaped• Which experiences should be automated and which should remain human-led• Why personalization is now table stakes, not a differentiator• How AI can improve informational queries, diagnostics, account questions, and service support• The difference between assistive AI and agentic AI• Why emotionally charged and high-stakes service moments still need humans• Why signal-based escalation matters more than task-based escalation• Why many AI pilots fail when they move to enterprise scale• Why inconsistent knowledge bases can create inconsistent AI responsesKey Takeaway:AI can transform customer experience, but only when businesses use it with clarity, governance, and empathy. The goal should not be to automate every customer interaction. The goal should be to understand which experiences are routine enough to automate and which moments are meaningful enough to require human judgment.Anshuman’s core message is that enterprises must focus on customer outcomes, not just contact metrics. AI can add value in assistive use cases, diagnostics, informational queries, and workflow support, but agentic AI requires stronger governance, testing, cost visibility, knowledge management, reversibility, and careful control of its blast radius.The organizations that succeed will be the ones that automate the mundane, protect the meaningful, design for reversibility, and keep trust at the center of AI-led customer experience.About Anshuman Singh:Anshuman Singh is the CEO, EMEA at HGS. He brings nearly three decades of experience across technology, design, digital transformation, customer experience, digital commerce, customer self-service, and service innovation.His career began with architecture and product design before moving into IT and user experience. After spending nearly 25 years at Mindtree, where he helped build the user experience group, Anshuman moved into customer experience transformation at HGS. His work today focuses on how generative AI, customer service, business process management, and human-centered design can reshape enterprise customer experiences.#CustomerExperience #CXTransformation #AIInCX #CustomerService #AgenticAI #AssistiveAI #AIGovernance #EnterpriseAI #CustomerTrust #DigitalTransformation #ServiceInnovation #BusinessTransformation #HGS #AnshumanSingh #TechDogs #DiscoverDialogues

2. 

   17 Sept 2026

   Accelerating AI Agents Without Losing Control Ft. Nathan Warner, North Director At AND Digital

   In this episode of TechDogs Discover Dialogues, host Jemish Sataki, Content Team Lead at TechDogs, sits down with Nathan Warner, North Director at AND Digital, to explore how enterprises can move from AI experiments to real operating outcomes without losing governance, accountability, or business control.This is not a conversation about deploying AI agents for the sake of innovation. It is a practical discussion on why AI transformation must start with the business process, not the technology. Nathan explains that leaders should not begin by asking where to deploy an agent. They should begin by identifying processes that are expensive, slow, inconsistent, or frustrating for customers, then baseline the outcome, risk, cost, and quality before introducing AI.The conversation closes with leadership lessons for teams navigating AI-driven change. Nathan emphasizes clarity, visible trade-offs, faster decisions, and involving people in change rather than imposing it on them. Leaders do not always need to know every step of the roadmap, but they must be honest about what they know, where they are heading, and why adaptability matters.In this episode, we cover:• Nathan’s journey across operations, consulting, enterprise transformation, and digital leadership• Why technology is rarely the biggest blocker in transformation• How good governance helps organizations move faster• Why AI agents should not be deployed before the business problem is clear• How leaders should baseline outcome, risk, cost, quality, and ROI before AI adoption• Why many AI pilots fail when they move into production• How AI exposes weaknesses in operating models, processes, data, and route-to-live systems• Why enterprises should redesign the “to-be” process instead of inserting AI into broken workflowsKey Takeaway:AI transformation will not succeed by adding agents into existing broken processes. It succeeds when organizations redesign the operating model, define the business outcome, understand the risk, make costs visible, and build governance into the lifecycle from the start.Nathan’s core argument is that AI agents should be treated like digital workers. They need identity, ownership, boundaries, monitoring, controls, escalation paths, and a kill switch. The organizations that succeed will not be the ones that run the most pilots. They will be the ones that build trusted routes to production, involve people in change, and keep value, cost, and risk visible at every stage.About Nathan Warner:Nathan Warner is the North Director at AND Digital, where he sits on the executive team and leads a major part of the company’s UK business. He works across clients, teams, and transformation programs, helping organizations connect technology delivery with business outcomes. With more than two decades of experience across operations, digital transformation, consulting, agile product engineering, cloud transformation, and AI-led change, Nathan brings a practical leadership perspective on how organizations can move faster without losing governance, clarity, ownership, or control.#AIAgents #AgenticAI #AITransformation #AIGovernance #EnterpriseAI #DigitalTransformation #ANDDigital #NathanWarner #TechDogs #DiscoverDialogues #AILeadership #AIROI #AIAdoption #DevSecOps #ResponsibleAI #AIInEnterprise #TechnologyLeadership #BusinessTransformation🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSub🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

3. 

   28 Jul 2026

   HR In The AI Era Must Stay Deeply Human Ft. Arppna Mehra, VP Of Human Resources At Honeywell

   In this episode of TechDogs Discover Dialogues, host Vikramsinh Ghatge sits down with Arppna Mehra, Vice President Human Resources at Honeywell, to explore how HR leadership is changing in an era shaped by AI, transformation, culture shifts, employee experience, and future-ready workforces.This is not a conversation about HR automation alone. It is a grounded discussion on why the future of HR must balance AI-enabled efficiency with human judgment, empathy, trust, psychological safety, and culture-led transformation.Arppna brings over 30 years of experience across HR, business transformation, mergers and acquisitions, people experience, and leadership. Her journey began in an era when HR was often seen as a personnel or policy function. Over time, she made a conscious choice to step out of the traditional HR back office and immerse herself in the business. She spent time shadowing line managers, sales leaders, operational teams, engineering teams, manufacturing environments, supply chain functions, and customer conversations.The conversation closes with leadership lessons for professionals moving into modern leadership roles. Arppna highlights contextual agility, influence without authority, active listening, inclusive environments, and the ability to manage people through uncertainty and macro-level anxiety. Her strongest leadership habit is listening: not to respond immediately, but to make people feel heard, supported, and understood.In this episode, we cover:• How Arppna’s 30-year HR journey evolved from personnel management to people experience• Why HR must operate close to business realities, not from the back office• How shadowing line leaders and operational teams shaped her business-first HR philosophy• Why HR leadership has shifted from control to enablement• Why psychological safety, trust, and commitment matter more than compliance alone• How AI is changing HR workflows, talent screening, skill mapping, and workforce planning• Why AI should augment human intelligence rather than replace human judgment• Why hiring, culture, empathy, and career development still need human involvement• How organizations can balance automation with a human employee experienceKey Takeaway:AI will reshape HR, but it should not remove the human center of the function. The future of HR is not about replacing judgment with automation. It is about using AI to reduce repetitive work, improve insight, personalize experiences, and help leaders make better people decisions while preserving empathy, trust, culture, and human connection. Arppna’s core argument is that HR must stay business-first and people-centered. The function cannot create impact from an ivory tower. It must be close to employees, close to operations, close to transformation, and close to the lived reality of work. In the AI era, the strongest HR leaders will be the ones who combine agility with empathy, transparency with trust, and automation with deeply human leadership.About Arppna Mehra:Arppna Mehra is the Vice President Human Resources at Honeywell. She brings over 30 years of experience across HR leadership, people experience, business transformation, mergers and acquisitions, culture building, organizational change, and future-ready workforce strategy. Her career reflects the evolution of HR from personnel management and policy enforcement to strategic people leadership and business transformation. Arppna’s leadership approach is shaped by operational immersion, active listening, psychological safety, transparent communication, contextual agility, and a strong belief that HR must be deeply connected to the business and the people it serves.#HRLeadership #FutureOfHR #AIInHR #PeopleExperience #WorkforceTransformation #HumanCenteredAI #EmployeeExperience #OrganizationalCulture #PsychologicalSafety #FutureReadyWorkforce #LeadershipDevelopment #TransformationLeadership #Honeywell #ArppnaMehra #TechDogs #DiscoverDialogues

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