The Execution Gap: Scaling AI, Modernising Operations and Securing Growth in Consumer Banking
Key Themes
Industrialising AI in Banking
Operationalise AI at scale while balancing governance, regulation, and business value.
Smarter Fraud Prevention
Build real-time fraud and identity defences for secure, trusted digital banking.
Building a Real-Time Banking Backbone
Connect data, systems, and decisioning to enable real-time banking operations and scalable transformation.
Agenda
9:00am - 9:15am
MOC Opening
9:15am - 10:00am
Industry Panel
Build, Buy or Bet? Rethinking the Platform Playbook in the Age of AI
For decades, the case for reusable platforms rested on a simple economic truth: building capabilities was expensive, so you built them once and shared them everywhere. AI is dismantling that logic. When the cost of building approaches zero, the entire buy versus build calculus changes, and so does the role of composable, plug-and-play architecture. Yet the first wave of “we will just build it ourselves” is already giving way to harder questions about iteration, maintenance, data integrity and who holds the purse.
Drawing on practitioners’ perspectives from across the US banking spectrum, including a leading card issuer that has taken AI from pilot to production across the card lifecycle, a top-20 consumer bank navigating legacy debt and regulatory caution with a buy-and-build-the-minimum strategy, and a platform CEO watching the market’s buying behavior flip in real time, this panel offers an unvarnished view of what reusable platforms are actually worth in 2026, where SaaS and partners fit into the picture, and how forward-thinking institutions should be approaching their technology landscape as AI rewrites the rules.
10:00am - 11:00am
Workshop Tracks
Track 1: From Fragmented Data to Real-Time Decisioning: How to Fix the Banking Operations Backbone
Every consumer bank has an AI roadmap. Far fewer have an operations backbone that can carry it. Customer data sits in a dozen systems that disagree with each other, decisions that should take seconds take days, and every new product launch adds another integration to a stack that was never designed to be queried in real time. The result is an execution gap: ambitious plans for intelligent, personalized banking resting on data that is fragmented, stale and expensive to move.
This workshop takes that problem apart in practical terms. Working in small groups, participants will map where data fragmentation is costing them most today, whether in onboarding, lending, fraud, servicing or collections, and work through what it takes to move from batch reporting to real-time decisioning: the data foundations that have to be in place first, the operating model that keeps data owned and trusted, and the sequencing that delivers value in quarters rather than years without a wholesale core replacement.
Participants will leave with a clear picture of the gap between their current operations backbone and what real-time decisioning requires, a prioritized set of use cases where closing that gap pays back fastest, and a practical view, drawn from peers across the room, of what has worked, what has stalled and why.
Track 2: Industrialising Artificial Intelligence: How to Drive Advanced AI at Scale in a Highly Regulated Industry
As investment in generative and predictive AI climbs, most banks stall between pilot and enterprise-wide deployment. This workshop tackles how to operationalise advanced AI in a highly regulated environment; balancing speed, governance and organisational complexity. Leave with practical ways to move beyond pilots and industrialise AI at scale, and a benchmark against peers.
11:15am - 12:00pm
Visionary Adoption Interview
Products to Systems: Building the Agentic Bank
12:00pm - 12:30am
Visionary Implementation Interview
One Click Ahead: Predictive Payments and the Calculated Route to AI at Scale
1:00pm - 2:00pm
Roundtable Tracks
Track 1: Agentic Access to Customer Accounts: Defining the Bank’s Position on Third-Party AI Agents
Track 2: Fraud and Scam Resilience: Protecting Customers From AI-Enabled Fraud While Preserving the Digital Experience
2:00pm - 5:25pm
1:1 Meetings
A series of curated 30-minute meetings scheduled throughout the three-hour networking period, with breaks between sessions. Matches are arranged based on intelligence-led recommendations and mutual business interests.
9:00am - 9:15am
MOC Opening
9:15am - 10:00am
Industry Panel
Cleared for Takeoff: Scaling Multi-Agent AI In Complex Legacy Environments Where Compliance Can't Bend
Multi-agent AI is finally doable — but in a highly regulated and complex industry, "doable" and "deployable" are very different things. In this session, TD's leader for end-to-end consumer deposits technology and Stanbic's Global CTO & COO share how multi-agent AI is being put to work across the full client journey, from shopping and servicing to disputes and statements, and why automating regulated processes is the unlock for innovation and cost efficiency at scale. The heart of it is control: proving to regulatory bodies that humans stay in the loop at every critical checkpoint while AI runs autonomously in between — the "autonomous flight, human pilot" model. Expect a candid, peer-led discussion of where the technology is genuinely ready, how the technology is being harnessed across different geos, where the guardrails have to live, and how to build a business case that clears both ROI and the regulators. Senior banking leaders will leave with a practical model for deploying AI in the places compliance has always made off-limits.
10:00am - 11:00am
Workshop Tracks
Track 1: From Fragmented Data to Real-Time Decisioning: How to Fix the Banking Operations Backbone
Every consumer bank has an AI roadmap. Far fewer have an operations backbone that can carry it. Customer data sits in a dozen systems that disagree with each other, decisions that should take seconds take days, and every new product launch adds another integration to a stack that was never designed to be queried in real time. The result is an execution gap: ambitious plans for intelligent, personalized banking resting on data that is fragmented, stale and expensive to move.
This workshop takes that problem apart in practical terms. Working in small groups, participants will map where data fragmentation is costing them most today, whether in onboarding, lending, fraud, servicing or collections, and work through what it takes to move from batch reporting to real-time decisioning: the data foundations that have to be in place first, the operating model that keeps data owned and trusted, and the sequencing that delivers value in quarters rather than years without a wholesale core replacement.
Participants will leave with a clear picture of the gap between their current operations backbone and what real-time decisioning requires, a prioritized set of use cases where closing that gap pays back fastest, and a practical view, drawn from peers across the room, of what has worked, what has stalled and why.
Track 2: Industrialising Artificial Intelligence: How to Drive Advanced AI at Scale in a Highly Regulated Industry
As investment in generative and predictive AI climbs, most banks stall between pilot and enterprise-wide deployment. This workshop tackles how to operationalise advanced AI in a highly regulated environment; balancing speed, governance and organisational complexity. Leave with practical ways to move beyond pilots and industrialise AI at scale, and a benchmark against peers.
11:15am - 12:00pm
Visionary Implementation Interview
One Front Door: Securing a Single Member Experience Built on Legacy Cores
Most institutions are waiting for their legacy cores to be replaced before they fix the frontline. Global Credit Union decided not to wait. Across the credit union and its two wholly owned insurance and mortgage CUSOs, Dana Gonderzik’s team is building a single AI enabled front end that lets tellers and member service agents serve a member as one person, rather than bouncing through three or four systems and three separate identities to complete a transaction.
In this interview Dana shares how that program was designed with security at the table rather than at the sign off, how the same AI the business is building with is reshaping the attacks on members and staff, and why data classification and retention is where she is spending security’s attention now. Along the way she covers the harder, cultural side of the job: winning the argument with business teams, keeping controls in step with product delivery, and running a people focused security function across two states and a remote workforce, thirteen years into a tenure that has seen the institution double.
Attendees will be brought into the conversation throughout and will leave with a practical view of what to get right first when putting a modern layer over legacy systems, where AI is shifting the balance between attacker and defender in consumer banking, and how to move security from brake to design partner without becoming the department of no.
12:00pm - 12:30pm
Workshop Recap & Overview
1:00pm - 2:00pm
Roundtable Tracks
Track 1: Agentic Access to Customer Accounts: Defining the Bank’s Position on Third-Party AI Agents
Track 2: Fraud and Scam Resilience: Protecting Customers From AI-Enabled Fraud While Preserving the Digital Experience
2:00pm - 5:25pm
1:1 Meetings
A series of curated 30-minute meetings scheduled throughout the three-hour networking period, with breaks between sessions. Matches are arranged based on intelligence-led recommendations and mutual business interests.
Who attends
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