Enabling real time, data driven underwriting in the London market
Reducing friction, improving speed to market and creating a more efficient operating model
Bob Bob Ricard, Leadenhall
Free to attend | Only 15 places
Overview
The London market has invested heavily in digital transformation, yet too much trading activity is still shaped by document-led processes, repeated re-keying and fragmented data flows. The result is unnecessary cost, slower decision-making and too much administrative burden sitting with brokers, underwriters and operational teams.
This breakfast briefing will explore how organisations can move from document-centric trading towards a more connected, data-first model. The discussion will focus on how structured data, digital MRCs, trading platforms and better connectivity between placing, accounting and portfolio systems can reduce friction across the value chain.
The emphasis will be on how you overcome the operational, technological, data and cultural barriers to enable: faster broker responses, fewer queries, cleaner handoffs between placing and accounting, improved portfolio visibility and a more scalable underwriting model.
We will also explore what this means for lead and follow business, how firms can build momentum without waiting for perfect market alignment and where the biggest operational gains can be achieved today.
Key themes to be discussed include:
- How to reduce rework, queries and manual processing across the trading lifecycle
What it takes to move from document-led trading to structured data at the point of placement - Discover how real time portfolio visibility can improve underwriting performance and decision-making
- Where digital trading can create efficiency gains across lead and follow business
- How to build adoption across underwriting teams by focusing on practical day-one benefits
- What carriers and brokers need to do now to prepare for faster, more connected trading models
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
CASE STUDY: Enabling structured data and digital trading to transform London market operations
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The cost and operational impact of traditional document-led trading and fragmented data flows
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How capturing data once reduced rework, delays and manual processing
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Lessons learned from driving adoption across broking, underwriting and operations teams
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The benefits of improved data quality, portfolio visibility and faster decision-making
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How digital trading is creating a more scalable and efficient underwriting model
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The next steps towards greater automation and real-time underwriting 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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