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 discuss how organizations can move from AI experimentation to AI-led business outcomes without losing control.

The conversation explores why AI transformation is not only a technology challenge. It is a business process, operating model, governance, data, identity, cost, risk, and leadership challenge. Nathan explains that organizations should not start by asking where to deploy an AI agent. They should start by identifying the expensive, slow, inconsistent, or frustrating business processes that need to improve.
 

Governance Helps AI Move Faster

Nathan’s career has taught him that technology is rarely the real blocker in transformation. The bigger challenges are clarity, ownership, decision-making, understanding the problem, and making value, cost, and risk visible.
 

Redesign The Operating Model, Not Just The Workflow

One of Nathan’s strongest points is that organizations should avoid simply inserting AI into existing broken processes. Many enterprises were designed around well-understood markets, processes, and operations. That structure often makes it difficult to adapt to new innovation.
 

Treat AI Agents Like Digital Workers

Nathan suggests treating AI agents like digital workers. They need management, identity, policy controls, performance monitoring, and clear ownership.

Every AI agent needs:
 

• An identity

• An accountable owner

• A boundary

• A budget

• An audit trail

• An off-switch

• An escalation path

 

AI Governance Should Be Designed In From The Start

Nathan compares AI governance to DevSecOps. Security became more effective when it was designed into the software development lifecycle, not inspected at the end. He believes AI governance must follow the same path.
 

Building Trust In The AI Era

Nathan believes leaders must be honest about how AI will change roles. Some roles will change, and some work may disappear. But AI will also create opportunities. The most important skills will increasingly be adaptability, creativity, curiosity, accountability, and the ability to deliver outcomes.

Key Takeaways
 

• AI transformation should start with the business process, not the agent.

• Good governance helps organizations move faster by making trade-offs visible.

• AI pilots fail when value, risk, cost, and governance are added too late.

• Production AI requires route to live, identity, trusted data, and ecosystem integration.

• Organizations should redesign the future operating model instead of inserting AI into broken processes.

• AI agents should be treated like digital workers.

• Every AI agent needs identity, ownership, boundaries, audit trails, escalation paths, and an off-switch.

• Adaptability, creativity, curiosity, and accountability will matter more as AI changes work.

• Trust comes from honesty, training, involvement, and capability-building.

 

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 over two decades of experience across operations, consulting, enterprise transformation, agile product engineering, cloud transformation, and AI-led change, Nathan brings a practical view of AI adoption, governance, delivery leadership, and how enterprises can move faster without losing control.