Transforming underwriting operations to improve speed, efficiency and performance
Overcoming the people, process and technology challenges to enable faster decision-making without compromising underwriting discipline
Bob Bob Ricard, Leadenhall
Free to attend | Only 15 places
Overview
London market insurers are under increasing pressure to respond faster to brokers, improve underwriting productivity and make better use of scarce underwriting talent. In a competitive market, faster and more informed decisions can help insurers prioritise the right risks, respond more quickly to opportunities and improve quote-to-bind performance. But speed cannot come at the expense of risk selection, pricing discipline or portfolio performance.
Improving underwriting performance and streamlining operations requires more than introducing new technology.
Insurers need to address the (often manual) operational processes, fragmented data and legacy systems that slow decisions and create unnecessary work. They also need to determine where automation and decision support can improve underwriting performance, how portfolio insight can feed back into individual risk decisions and how to change established ways of working without undermining underwriter judgement.
This breakfast briefing will explore how you overcome the operational and cultural challenges to transform traditional underwriting systems and processes to improve performance and deliver efficiencies.
Key themes to be discussed include:
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Improving quote-to-bind performance by reducing cycle times and increasing underwriting productivity while maintaining risk selection and pricing discipline
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Removing operational friction through automated submission intake, triage and workflow to reduce manual work and focus underwriting expertise where it matters most
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Improving the quality, availability and timeliness of data to help underwriters make faster, more confident decisions
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Connecting the underwriting technology landscape by overcoming fragmented systems and legacy architecture to improve data flow between underwriting, pricing and portfolio management
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Using automation, analytics and AI effectively to improve prioritisation, pricing and decision-making while maintaining appropriate governance and human judgement
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Overcoming the people and change challenges to embed new processes, behaviours and capabilities into day-to-day underwriting
Speakers
- Takes place in the private dining rooms at Bob Bob Ricard, Leadenhall
- Only 15 industry practitioner places are available
- Hear the case studies then participate in the Q&A
AGENDA
08:00 Registration, tea and coffee
08:15 Breakfast of your choice in the private dinning room at Bob Bob Ricard
08:40 Introduction by the chair
08:50 Presentations
Overcoming the data and mindset challenges to transform traditional underwriting systems and processes
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The commercial imperative to improve quote-to-bind performance, respond faster to brokers and make better use of scarce underwriting talent while maintaining risk selection and pricing discipline
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Overcoming the operational challenges of inefficient submission intake, triage and fragmented workflows that increase processing times and divert underwriters from higher-value decisions
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Addressing the data quality, legacy technology and integration challenges that prevent underwriters from accessing timely information, effective decision support and portfolio insight
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Lessons learned from implementing automation, analytics and AI within underwriting operation
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Overcoming resistance to change, maintaining governance and demonstrating ROI in efficiency and performance.
09.05 Roundtable discussion & feedback
10:00 Close
Sponsored by
DataArt is a global software engineering & consulting firm, specialising in data, analytics, and AI with deep expertise across financial services including insurance, reinsurance, banking, capital markets, investment management, and payments. With more than 6,000 consultants worldwide and decades of experience delivering complex projects, we help insurers, reinsurers, MGAs and insurtechs modernize their platforms, automate operations, and deliver enhanced customer experiences.
At the heart of our approach is domain expertise: our teams combine engineering excellence with deep industry knowledge, including CFA-certified professionals and insurance practitioners who understand the complexities of underwriting, claims, actuarial workflows, and regulatory compliance. By integrating AI-driven automation and analytics, we partner with insurance companies to transform these processes into intelligent, data-aware systems that improve accuracy, speed, and decision-making. This blend of business insight, technical mastery, and applied AI ensures the solutions we design are not only innovative, but also compliant, resilient, and fit for purpose in one of the most demanding sectors in the world.
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