AI: A Transformation Tipping Point

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

Meeting | Agenda | Members | Format

Generative AI may have entered the enterprise quickly - but impact has lagged. Tools have been deployed, copilots launched, and POCs initiated, yet few organizations have seen material shifts in cost, speed, or growth. Partly because most efforts so far have been horizontal, assistive, and surface-level.

Agentic AI promises something deeper: autonomous systems that can pursue goals, orchestrate workflows, collaborate across systems, and act with minimal human intervention. These aren’t just copilots—they could be teammates, operators, and decision engines.

With that potential comes real complexity, and our purpose is to explore the emerging strategy, architecture, and organizational implications of Agentic AI - from what’s working today to what’s coming tomorrow.

AI Strategy

Across industries, some AI projects are seeing success in moving from theory to impact - equally, many more not really. We examine the use cases delivering measurable returns today, the emerging patterns that hold the most promise, and the common factors behind early successes.

Strategy is key and enterprises are taking different strategic paths - deterministic to predictive to generative to agentic AI - and these choices shape business outcomes, employee skills and fluency and organizational design.

Key questions:

• How should we think about corporate strategy for AI and workforce composition and shape in the years to come.
• “Where to play” - across deterministic, predictive, generative and agentic AI - based on where returns are real and technology mature.
• How to best manage board dynamics, leadership goal setting, and internal expectations in a fast-changing AI environment?

Enterprise Architecture in the future of AI

Most enterprise architectures were not built for AI agents or agentic AI - and simply slapping on new capability atop a complex (and expensive) existing architectural design will be inadequate, if not practically impossible. Indeed the next chapter could require 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, introducing policy-aware infrastructure - and fundamentally reshaping enterprise architectures.

Key questions:

• How are we evolving from traditional stacks to agent-ready architectures tomorrow and how does this change enterprise architecture blueprints today?
• How are we designing data foundations that are secure, connected, compliant, and AI-ready?
• What is the future of SaaS and thick Cores (ERPs etc.) in this age of AI and how do we allocate capital in light of what’s coming next?

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

As with other meetings, we take advantage of our setting for the meeting to do a real-life deep dive - with the dual objective of learning from one member’s journey in depth - and - collaboratively and confidentially providing input that can drive increased success based on our collective intelligence.

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.

• How is firm-wide strategy for AI driving automation objectives?
• What models are emerging for building AI fluency and capability at scale?
• How should we think about organizational design?

Board Dinner: Preparing the next generation of employees

Board dinner and group conversations in central London. A chance to step back and connect informally. In addition:

A dinner conversation around how Academia is reinventing learning, driving interdisciplinary collaboration, and reshaping curriculum to prepare future employees for the coming age of AI. Joining us for dinner are the Dean and Assistant Dean of the College of Computer Sciences at Northeastern University.

Executive Technology Board (c)

AI in the Enterprise: a think tank snapshot