AI in the gaps: a pragmatic approach to ease the friction in the Lloyd’s market

If AI adoption is proving more difficult than you hoped, try taking a more pragmatic approach to finding the value.

Fix The Data Drop

A month of bordereaux records is falling in. Clean the bad data, route each card, and see how the AI agent transforms the flow. Play now!

The EU AI act: a familiar regulatory challenge for specialty insurers

For many in the specialty insurance market, the arrival of the EU Artificial Intelligence Act will feel very similar to the experience of implementing the General Data Protection Regulation.

Why waiting for clean data is the wrong approach to getting value from AI

Don't let imperfect data hold back your AI initiatives

AI is a people challenge before a technology one

AI adoption in commercial specialty insurance is uneven not because of technology, but because different generations experience it differently making trust, transparency and positioning AI as a partner that scales human judgement, rather than replaces it, the true determinant of success.

infrastructure debt - what UK water companies can teach commercial insurance

Commercial specialty insurance risks repeating the UK water sector’s mistake: mistaking continuity of service for resilience while hidden, ageing infrastructure quietly leaks value and limits the industry’s ability to adapt, modernise and sustain trust.

AI Regulatory Readiness

Our AI regulatory readiness approach combines practicality with compliance to bring you the benefit of both worlds

why personal lines insurance is ahead of commercial lines in technology adoption

Technology has transformed insurance unevenly, with personal lines adopting modern tools faster than commercial lines not due to a lack of innovation, but because the two markets serve fundamentally different purposes and risk profiles.

rise of the new platform: blueprint two vs. the fastest tech shift in human history

Blueprint Two, conceived in a pre-AI acceleration era, now risks accumulating technical debt unless its scope is re-imagined keeping pace with the rapidly evolving baseline expectations for enterprise computing

winners and losers: what the internet teaches us about the AI revolution

The companies that embraced the internet’s technological shift became its winners. The same is true for AI: those that invest decisively in data, engineering and AI-driven strategy will lead, while those that hesitate will be left behind.