Sutherland Office – Gherkin London, 33rd Floor, The Gherkin, 30 St Mary Axe, London, EC3A 8EP, United Kingdom
The Great AI Reckoning: Show Me the Money
Overview:
As AI investment moves from copilots and pilots into enterprise workflows, Banking, Financial Services and Insurance leaders in London are facing a new standard of accountability: where is the measurable value?
The conversation is shifting from AI adoption to business impact. Which use cases are improving revenue, reducing operating costs, increasing productivity, strengthening customer outcomes or managing risk? Which initiatives are absorbing investment without generating sufficient returns? And when should leaders scale, reshape or stop an AI investment?
This private executive forum brings together senior BFSI leaders for a candid peer discussion on the economics of enterprise AI and what it takes to translate investment into measurable P&L outcomes.
The discussion will explore the AI value scorecard, the economics of scaling, and what changes when AI moves from employee assistance into critical workflows such as lending, underwriting, claims, fraud, compliance, servicing and payments.
Leaders will also examine the true cost of AI — including models, infrastructure, data, integration, human oversight and change management — alongside the governance, resilience, explainability and accountability required to deploy AI safely within highly regulated financial institutions.
The forum will address how operating-model and workforce changes can turn AI-driven productivity into real financial outcomes, rather than simply more capacity.
The bottom line: Which AI investments are creating enterprise value, which are consuming it, and what should BFSI leaders in London do differently before the next AI investment cycle?
Executive focus areas
– The AI P&L – measuring AI beyond adoption, productivity anecdotes and user counts.
– Scale vs. Value – deciding which use cases merit enterprise-wide investment.
– From Copilots to Core Workflows – AI in underwriting, claims, fraud, compliance, servicing and lending.
– Cost Economics – models, infrastructure, data, integration, human oversight and change management.
– Risk, Regulation & Trust – governance, explainability, resilience and accountability.
– Operating Model – moving beyond disconnected pilots, licences and proofs of concept.
– Workforce & Productivity – converting capacity gains into actual financial outcomes.
Agenda
| Time | Description |
| 5:00 PM | Welcome & Executive Context |
| 5:10 PM | The AI Value Reckoning: Where Is the Return? |
| 5:55 PM | Coffee Break |
| 6:10 PM | CXO Exchange: Scale It, Fix It or Stop It? |
| 7:00 PM | What We Heard & Thank You Note |
| 7:10 PM | Cocktails & Finger Food |
| 8:10 PM | Networking |
Speakers
