A keynote on artificial intelligence dedicated to the insurance world. Romain Rissoan draws on real-world cases to show how AI is transforming underwriting, claims management, fraud detection and policyholder relations.
Insurance is, by its very nature, a data business: pricing, risk selection and pooling, claims management, fraud detection, long-term policyholder relationships. The sector has always relied on statistics and actuarial science; generative and predictive AI now multiplies that capability dramatically, unlocking major gains in productivity, service quality and risk control. Yet insurance is also one of the most heavily regulated industries, where compliance and trust are non-negotiable.
This AI keynote dedicated to insurance draws on real-world cases to show how artificial intelligence is already reshaping underwriting, claims handling, fraud prevention and member engagement. Romain Rissoan, who advises bancassurance players (clients include Allianz, Immo Assurances…), draws a clear line between uses that are already mature and those still emerging, and offers a lucid reading of the regulatory landscape — AI Act, GDPR, explainability obligations — without burying the audience in legal detail.
The talk is accessible to executives and business-line directors as well as technical, actuarial and IT teams. Whether the audience is a large insurer, a mutual, a provident fund or a brokerage, every attendee leaves with a clear view of where to focus, what realistic gains to expect, and what safeguards to put in place for a responsible AI rollout.
Illustrated use cases from front-office to back-office.
AI accelerates underwriting by automatically reading and structuring application documents, pre-assessing risk and flagging cases that require expert review. Underwriting lead times shorten, the customer experience improves, and underwriters focus their expertise on the complex cases where their judgement genuinely makes the difference.
From first notice of loss through to settlement, AI helps triage, qualify and prioritise claims, identifies straightforward cases eligible for fast-track processing, and routes sensitive matters to the right handlers. The result: shorter indemnification timelines, a lighter workload for claims teams, and a noticeably better experience for policyholders.
By analysing large volumes of declarations and transactions in real time, AI spots weak signals and combinations of anomalies that traditional rules-based systems miss entirely. It enables earlier identification of suspicious claims while reducing the false positives that penalise honest policyholders and needlessly tie up anti-fraud teams.
An AI assistant supports handlers day-to-day: reading and summarising policies, searching terms and conditions, drafting letters and member responses, condensing bulky case files. Teams gain in speed and consistency, spending less time hunting for information and more time in direct service of the policyholder.
Conversational AI assistants answer common questions round the clock — coverage, reimbursements, claims procedures — qualify requests and personalise the journey according to each member's profile. Digital channels become less congested, human advisers remain focused on the moments that matter, and the relationship gains both in responsiveness and in personalisation.
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