WEBINAR
Years to weeks? What AI agents are really doing to bank legacy modernisation
How AI agents are enabling faster and simpler core banking transformation
11 November | 3pm GMT | 4pm CET | Online
Legacy modernisation has rarely stalled for lack of ambition. It stalls because understanding systems written decades ago costs more than replacing them. Agentic AI is starting to change that.
Citi says legacy migrations that once took 12 months now take four weeks. Goldman Sachs has AI agents working through its modernisation backlog, with engineers reviewing every output before it reaches production. And that’s just the tip of the iceberg.
Early results also show where the hard problems are, such as accuracy gaps and the question of who signs off agent-written code in critical systems. So, is the bottleneck now the technology, or the bank's ability to govern it?
This webinar brings together banking technology leaders to explore where agentic modernisation is delivering tangible value today, and the governance, quality and control frameworks needed to move from experimentation to bank-scale production.
- Where specialised AI agents can already accelerate transformation, testing, integration and data migration
- How agentic modernisation could change the economics and timelines of major transformation programmes, including post-M&A technology integration
- How banks can build bounded agentic architectures, human oversight and effective guardrails to ensure responsible autonomous execution
- Agentic software engineering: where can agents add meaningful value across legacy code discovery, refactoring, testing and validation?
- From assistance to execution: how far can specialised agents autonomously execute transformation tasks?
- Reinventing data migration: where can agents materially accelerate data mapping, transformation, validation and migration?
- To what extent can agent deployment change the speed at which banks integrate technology following M&A?
- Quality and reliability: how can banks ensure AI-generated or refactored code meets the quality, security, resilience and regulatory standards required for critical banking applications?
- From experiment to enterprise: what are the barriers preventing banks scaling AI-powered modernisation?
- The developer reimagined: as agents take on repetitive migration scripts, code conversion and testing, how does the role of the developer shift? What does this mean for future talent?
- Human-above-the-loop: what should a bounded agentic architecture look like in practice, and what mechanisms are needed to maintain control over modernisation outcomes?
Who's speaking:
Emma Whiteside
Resolving Economic Crime, Lab Product Owner
Lloyds Banking Group
Ashtha Bajaj
Data and AI Lead
Bank of Ireland
Colin Whitmore
Financial Crime SME, Consultant, Former Financial Crime Director, NatWest
Mohit Aiyar
Head of Banking & Financial Services, UK & Ireland
Cognizant
Panelists include:
Parinita Kothari
Engineering Lead
Lloyds Banking Group
Juliette Foster
Moderator
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