AI starts long before AI - Artificial intelligence dominates almost every industry conversation today, but organisations sometimes overlook a fundamental truth.

AI is only as good as the data beneath it. Preparing for AI is far less about selecting the right model than it is about doing the foundational work that many organisations find less exciting. Data quality must be addressed. Data lineage needs to be understood. Governance frameworks must be established. Data must be reconciled back to trusted source systems.

These activities may not generate headlines, but they determine whether AI produces reliable insights or simply automates inaccurate information. Equally important is ensuring organisations can explain where data originated, how it has been used and what decisions AI systems are influencing. As regulation around AI continues to evolve, transparency and accountability will become just as important as technical capability.

Without those foundations, organisations may be AI curious- but they are not AI ready.

Making data part of everyday business - The insurers gaining the greatest value from data share one important characteristic. Data is not confined to a reporting team. Instead, it flows across the organisation, supporting operational decisions, automating processes and informing business strategy every day.

Successful organisations also establish a common language around data. Different departments are no longer asking similar questions using different terminology. Everyone works from the same trusted information and the same understanding of what the data represents.

That consistency becomes a powerful enabler of faster and more confident decision-making.

Focus on value before transformation - If I were stepping into the role of Chief Data Officer, the first instinct would not be to replace every existing system.

Instead, I would identify a small number of business decisions that matter most, strengthen the data supporting those decisions and build confidence in the information being used.

Delivering measurable business value does not always require a complete transformation programme. Often, improving trust in a handful of critical datasets can create immediate benefits that demonstrate the value of a broader data strategy.

Data should tell the truth, even if it is not always the answer the business hoped to see. Once that truth is established, meaningful improvement becomes possible.

The future belongs to trusted insight - Over the next few years, near real-time data will become standard across the insurance industry. External data enrichment will increasingly become part of everyday underwriting, while AI agents will automate many routine tasks and help professionals focus on higher-value work. However, none of these advances will replace the need for trusted information.

Technology will continue to evolve rapidly, but the organisations that succeed will not necessarily be those with the most sophisticated AI platforms. They will be those that have invested in trusted data, sound governance and the ability to turn information into timely, explainable and actionable insight.

In the end, data itself is not the competitive advantage. The ability to trust it, and act on it, is.