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Podcast Episode

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

Discover Dialogues··22 September 2026·34 min

About this episode

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