Insights from our latest member-only special interest group on delivering transformational change.
Are you moving from AI curiosity to operational impact? Where is the real friction in turning data ambition into delivery?
These insights were gained from the latest member-only special interest group meeting, where peers compared what is working, what is hard and how to keep transformation moving without losing control. 
What we heard
Members are at very different stages of AI adoption. Some are experimenting with co-pilot-style tools and targeted pilots. Others have defined roadmaps that automate data extraction, support claims triage, enrich underwriting and streamline productivity. Generative use cases are emerging in cautious steps for data validation, summarising documents and compliance checks.
The consistent blockers are familiar. Internally, fragmented ownership, scope creep, and siloed data slow progress. Externally, market-wide data standards are patchy, system landscapes are fragmented and broker adoption is uneven. Many are balancing a strong senior appetite for change with delivery teams who need time, skills and guardrails.
Security and governance dominated the risk lens. Moving from paper or isolated systems to digital and AI-enabled workflows raises the stakes. Several members have rebuilt core platforms to strengthen security posture before scaling AI. While AI execution costs are trending down, adjacent costs like architecture hardening and data foundations remain material. 
How members are getting traction
Momentum comes from small proofs of value that scale only when they work. Teams are prioritising structured data, then layering decision support. Some smaller organisations move faster due to lighter legacy, yet still face capacity limits. Larger organisations juggle group versus local priorities, often placing AI ownership in a central function that governs while the business pulls.
Culture and communication are pivotal. Framing AI as a tool that elevates roles helps reduce resistance. Hybrid working is mixed. Some achieved rapid delivery, fully virtual. Others now set clear collaboration days to protect focus time.
Questions members are still wrestling with
- How do you balance agility with governance so controls guide rather than choke innovation?
- What is the right split between in-house build and specialist vendors when security and data sensitivity matter?
- How do you grow hybrid talent that blends deep insurance knowledge with data and AI skills?
- Which risk management systems genuinely suit smaller organisations without heavy overhead?
What is next
Members will reconvene after the upcoming conferences to distil outcomes, then set the special interest group agenda for 2026. Expect practical deep dives on security, governance, skills, communication and scaling approaches that work.
Curious to shape the discussion and access the full member-only notes, session invites and peer benchmarks? For more information about membership, contact Tom@TIN.events
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