AI: A Transformation Tipping Point

SEPTEMBER 4, 2025 | Hosted at Lloyds Banking Group, London

Meeting | Agenda | Members | Format

As enterprises move from experimentation to integration, AI is entering a new era—defined not just by smarter models but by autonomous agents embedded in workflows, making decisions, and collaborating with humans. To operate effectively in this agentic era, organizations must activate a new set of enablers that support structural, cultural, and technical transformation at scale. This meeting double-clicks on the three most critical enablers for success.

Solving for Data: Fueling AI at Scale

As enterprises scale AI across workflows, they are encountering a new bottleneck: data. It’s not the lack of it—but fragmentation, inaccessibility, and governance that block impact. Successful AI programs now hinge on getting the data foundation right: connected, compliant, and real-time. Yet legacy systems, organizational silos, and rising regulatory demands make this a high-stakes transformation in itself.

Key questions:

How are leading enterprises designing AI-ready data platforms that are secure, compliant, and interoperable?
How can organizations break the trade-off between control and accessibility?
What are emerging patterns in balancing internal and external data to train, tune, and evaluate AI systems?

Redesigning Architecture in the Age of AI

Most enterprise architectures were not built for autonomous agents. The next chapter requires moving beyond LLM-centric deployments to an agentic AI mesh - a modular, governed, and composable foundation that enables secure collaboration between agents and legacy systems. This transition calls for deep structural change: separating memory and logic, rethinking orchestration layers, and introducing policy-aware infrastructure.

Key questions:

How are organizations evolving from traditional stacks to agent-ready architectures?
What design principles support secure, scalable agent collaboration?
How do sovereignty, supply chain risk, and digital resilience shape platform choices?
How are geopolitical forces - data residency laws, digital sovereignty, supply chain risk - reshaping platform choices?

Governance and People: Managing Autonomy at Scale

As AI moves from labs to live systems, governance becomes central - not just for compliance, but for alignment, trust, and performance. Traditional IT governance models are struggling to keep pace with agentic systems that learn, adapt, and act. Enterprises now need governance frameworks that are dynamic, distributed, and embedded in both code and culture. This means preparing for a new class of governance challenges: agent sprawl, ambiguity in autonomy levels, and the cohabitation of humans and agents in live workflows. Key questions:

What models are emerging to govern AI workflows across business units, geographies, and technical stacks?
How can enterprises ensure human accountability while enabling automation at scale?
What telemetry, feedback loops, and policy mechanisms help align AI behavior with enterprise goals?
How can organizations build cross-functional governance that bridges data, model, and agent oversight?
How are roles and capabilities evolving to support human–agent collaboration?

A Deep Dive: Lloyds Platform Architecture as a Catalyst for Transformation

Lloyds Banking Group is undergoing a significant platform modernization to unlock new value from data and AI, and deliver a federated architecture with modular APIs, shared data layers, and common governance protocols. This evolution also lays the foundation for agent-first workflows, where business processes are reimagined—not just automated—around the capabilities of intelligent systems. In a hands on discussion discover how Lloyds’ approach is driving a broader shift: moving from optimization of individual tasks to re-invention of entire end-to-end processes - and the learnings from their journey with composable platform design, and the bumps on the way.

Board Dinner

Board dinner and group conversations in central London. A chance to step back, connect informally, and continue the conversation on the future of AI and enterprise transformation.

Executive Technology Board (c)