AI-driven automation is transforming how insurers process data, streamline workflows and improve decision-making. In this episode, Robin Merttens speaks with Graeme Asquith, UK Managing Director at mea Platform, about how AI-powered document ingestion is changing the game for underwriting and claims. With advanced machine learning models trained on millions of insurance documents, mea platform enables insurers to extract key information instantly—reducing manual processing, improving accuracy and accelerating business decisions. Robin and Graeme also discuss the rise of algorithmic underwriting, the role of AI in digital distribution and what’s next for the insurance industry as automation becomes a competitive necessity. Key Talking Points: From consulting to AI – Graeme's career path and transition into insurance technology How mea platform extracts data from insurance documents using AI and machine learning Automating underwriting workflows – turning unstructured data into actionable insights The rise of AI-driven ingestion – why it’s becoming a must-have for insurers Three approaches to document processing – build, generic IDP, or insurance-specific AI Speed and accuracy – how mea achieves high extraction precision out of the box Scaling AI in insurance – implementing solutions quickly without heavy IT investment Beyond ingestion – how automation and intelligence are shaping underwriting and claims Partnering for success – mea’s collaborations with Lloyd’s, Accenture, and Solos Consulting The future of insurance AI – from digital trading to algorithmic underwriting and beyond If you like what you’re hearing, please leave us a review on whichever platform you use or contact Matthew Grant on LinkedIn. You can also contact Graeme Asquith on LinkedIn to start a conversation! Sign up to the InsTech newsletter for a fresh view on the world every Wednesday morning. Continuing Professional Development This InsTech Podcast Episode is accredited by the Chartered Insurance Institute (CII). By listening, you can claim up to 0.5 hours towards your CPD scheme. By the end of this podcast, you should be able to meet the following Learning Objectives: Specify the differences between generic document processing tools and insurance-specific AI solutions. Define the challenges insurers face in handling unstructured data and the benefits of automation. List the key inefficiencies in manual data extraction and how AI-powered solutions address them. If your organisation is a member of InsTech and you would like to receive a quarterly summary of the CPD hours you have earned, visit the Episode 342 page of the InsTech website or email [email protected] to let us know you have listened to this podcast. To help us measure the impact of the learning, we would be grateful if you would take a minute to complete a quick feedback survey.