A panel discussion hosted by Brillio
The insurance sector faces a fundamental challenge: the effective management of substantial volumes of data, the optimization of claims processing, and the advancement of underwriting accuracy, all while sustaining customer trust and operational agility. Conventional approaches are frequently impeded by fragmented data sources, manual procedures, and legacy systems, which collectively restrict innovation and responsiveness.
This exclusive evening brings together senior insurance technology and business leaders to explore how AI-first, low-code innovation is reshaping claims, underwriting, and core insurance operations. Hosted by Brillio, the session showcases how the Enterprise AI Accelerator platform (ADAM), combined with modern application development, enables insurers to move beyond experimentation to production-grade AI outcomes. Through executive perspectives, live use-case discussions, and peer dialogue, attendees will gain clarity on how to unlock trusted data, deploy agentic workflows, and accelerate modernization with confidence.
Since joining Crawford & Company in 2005, Adam has held multiple technical and leadership roles culminating with his current role leading Global IT Operations & Strategy.
He has been responsible for driving considerable and transformative change in local and global IT, including championing standardisation of platforms and technologies and organisational structures.
Betsy Droege, is Head of Product Cluster Input Management at Munich Re Group Technology - ITErgo, where she leads global teams driving digital modernisation initiatives. She champions GenAI innovation across Property & Casualty, Life, and Health insurance while advancing integrated technology transformation across the Munich Re Group.
Eibhlin has 13+ years’ experience working with Allianz Insurance across a number of customer facing and operational roles in Trading, Underwriting and Claims. Her current role is focused on transforming Claims through automation, digitalisation and strategic workforce planning ensuring we can continue to offer the customer choice and a high level of service internally and with our strategic supplies.
Gaurav Shahi is a Governance, Risk, and Compliance professional with extensive experience in corporate secretarial practices, regulatory compliance, and policy governance. He brings strong expertise in compliance frameworks, legal oversight, and corporate advisory functions across financial services organizations.
Fernando is an Associate Partner based in London
Since joining McKinsey in 2015, Fernando has served financial services firms in the UK, U.S., Latin America and Asia
He serves leading financial institutions and insurers on integrations, large-scale transformations and ambitious data and analytics programmes
Deepali Limaye Davalbhakta is Managing Director at Brillio and partners with CXO's to turn AI ambition into enterprise-scale impact across UK and international markets. She has led transformation programs that unlock growth, modernize technology estates, strengthen regulatory resilience, and deliver measurable business outcomes in Banking, Financial Services, and Insurance. She is known for building trusted C-suite partnerships and delivering transformations.
Connect with peers and industry leaders in an informal setting.
Harnessing AI to build scalable and intelligent insurance solutions.
Deeper discussions, connections, and collaboration over dinner.
Unifies customer, claims and fraud data to strengthen risk selection, pricing precision and underwriting consistency.
Automates beneficiary and address changes with intelligent verification, reducing manual effort while improving accuracy and auditability.
Transforms FNOL and triage through always-on, context-aware voice automation designed to respond with speed, accuracy and empathy.
Automates end-to-end claims using OCR and computer vision to assess damage, reduce leakage and accelerate fair settlements.
Brillio’s ADAM – AI Accelerator platform gives enterprises ‘the agentic edge’ to accelerate growth and drive operational excellence with domain-driven AI agents.
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