Agent to agent interoperability
A breakfast briefing on preparing people, processes and technology for a world where AI systems work directly with each other in the London market
Bob Bob Ricard, Leadenhall
Free to attend | Only 15 places
Overview
As agentic AI moves from experimentation into live operating models, insurers and brokers are now facing a fundamental shift. The next challenge is no longer how individual agents are built, but how multiple AI agents interact with each other across teams, business functions and the wider market.
As AI systems begin exchanging data, instructions and decisions directly, traditional processes and technology foundations are tested in new ways. This breakfast briefing will explore the practical implications of agent-to-agent interoperability, and how you overcome the operational and data challenges to ensure success.
The discussion will focus on how to design operating models that balance automation with human oversight, how to manage data lineage and develop effective governance structures as agents operate across organisational teams and with external market participants.
Rather than focusing on theory or hype, the session will centre on how you design the processes and build the skills, controls and cultural readiness needed to scale these capabilities without destabilising existing operating models.
Key topics to be discussed include:
- What agent-to-agent interaction means for accountability, ownership and decision-making in underwriting and broking models
- How existing operating processes need to change when AI systems work autonomously with other AI systems rather than people
- Managing data control, lineage and explainability when decisions flow across teams, organisations and market participants
- Redefining the role of human oversight, escalation and assurance in increasingly automated operating models
- Building the skills, governance and cultural readiness required to scale agentic capabilities without introducing operational risk
Speakers
- Takes place in the private dining rooms at Bob Bob Ricard, Leadenhall
- 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
08:40 Introduction by the chair
08:50 Presentations
Preparing insurance operating models for Agent-to-Agent decision making?
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How to adapt underwriting and broking operating models so machine-to-machine interactions deliver consistent, reliable outcomes
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What capabilities and skills are needed to move from isolated agent use cases to interoperable, decision-ready AI at scale
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How to maintain control, explainability and regulatory confidence as autonomous agents interact across organisational boundaries
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How to enable interoperability while protecting core data assets and preserving competitive advantage
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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