Leveraging Generative AI to modernise legacy technology in insurance
Overcoming the operational challenges to transform traditional architecture, reduce costs and build new capabilities
The Gherkin
Free to attend | Only 15 places
Overview
Legacy technology remains one of the most stubborn barriers to innovation across the insurance industry. Aging systems, whether mainframes, COBOL-based applications, old Java frameworks or even platforms built in Delphi, are costly to maintain, complex to update and often lack the skilled talent needed for support. Yet modernisation projects are high-risk, particularly when core systems are involved.
This exclusive breakfast briefing will explore how generative AI is transforming the way insurers approach application modernisation. Rather than relying on traditional code translation tools, which often deliver limited value, this session will explore how new AI-enabled approaches can facilitate true re-architecting from monolithic systems to microservices.
During this interactive session you’ll discover key insights and have your questions answered by experienced industry peers and technology experts and discuss how to use genAI not just to update, but to truly transform, legacy applications.
Topics to be discussed include:
- Why generative AI represents a breakthrough opportunity for insurers to overcome decades of technical debt
- How generative AI enables semi-automated, architecture-compliant modernisation
- Achieving readable, documented, testable code that aligns with modern architectural standards
- Exploring how this approach reduces modernisation costs and dramatically reduces project risk
- Real-world examples of applying this approach in insurers and the lessons learned
Speakers
- Takes place in the private dining rooms at the top of the Gherkin
- Only 15 industry practitioner places are available
- Hear the case study then participate in the Q&A
AGENDA
08:00 Registration, tea and coffee
08:15 Breakfast of your choice with views over The City
08:40 Introduction by the chair
08:50 Presentation
Overcoming the key people, process and data challenges to transform legacy through AI
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Assessing the total costs of ownership of legacy systems
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Understanding current processes to prioritise initiatives that deliver the most value to the business
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Case study: Assessing the target operating model and technology architecture following the closure of DDM
o Data challenges: Quality, completeness, accessibility from legacy systems
o Process redesign: Moving from legacy workflows to AI-enabled processes
o People & culture: Managing the transition for teams who run the existing system
o Target Operating Model impact: Rethinking responsibilities, skills and governance
Speakers
09.05 Roundtable discussions & feedback
10:00 Close
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