The TINtech pre-event survey asked attendees what they would like to gain from the event and individual sessions. The results have been complied and aggregated to help shape the themes that will be covered by both the speakers and during the round table discussions.
The TINtech pre-event survey reveals five dominant and interlinked themes shaping strategic priorities across the UK insurance sector: AI adoption and operationalisation, data integration and governance, legacy modernisation, digital transformation at scale, and measurable business value. There is a consistent call for deeper insight into real-world AI use cases, including how organisations are operationalising AI beyond pilots, the balance between agentic and conventional AI, and how AI is delivering tangible benefits in underwriting, claims and analytics. Delegates seek clarity on where peers have succeeded, how they’ve navigated cost-benefit decisions and what frameworks they used to ensure trust, security and positive business impact.
Data remains a foundational issue, particularly around standardisation, ingestion and interoperability. Respondents highlight persistent challenges with bordereaux automation, integration of placing platforms and the use of data catalogues to derive value from AI tooling. Legacy systems continue to inhibit progress. There is growing interest in composable architectures, low-code platforms and AI-augmented microservices, but uncertainty persists around scalability, cos, and integration with entrenched systems.
Digital transformation is no longer about vision-setting but execution at pace, with concern mounting around “pilot fatigue” and talent bottlenecks. Organisations express urgency to move beyond foundational stages, accelerate delivery of transformation programmes and improve cross-departmental integration. This is felt most keenly in the Lloyd’s and London market, where complexity is magnified by the need for collective progress across 250+ entities.
Respondents consistently emphasise the need to align technology with measurable business outcomes, whether through automation, smarter workflows or better customer experience. Examples of successful AI and data-driven transformations are in high demand, particularly where they are linked to operational efficiency, profitability and improved decision-making. There is an appetite to explore the cultural and change management enablers that underpin successful adoption, especially amid widespread digital and organisational fatigue.
Three key areas for discussion at the event include:
- AI adoption must shift from experimentation to execution: There is a strong appetite for real-world, scaled AI use cases that demonstrate clear operational and commercial value, with a focus on automation, data processing and underwriting efficiency.
- Data infrastructure and integration are critical enablers: Standardising, ingesting and leveraging data across platforms remains a bottleneck, particularly in bordereaux, placement and claims. Progress here is essential for modern systems to deliver.
- Legacy modernisation and transformation fatigue are colliding: Organisations face mounting pressure to modernise legacy tech while avoiding fatigue from multi-year change programmes, requiring smarter approaches to integration, change management and value delivery.
Sign Up to TINsights
Where we share our latest blogs, industry reports and insights
