Author: The Data Company

One customer, five teams, five versions of the truth. That is the real insurance problem.  On Tuesday morning, a broker calls about a key client.  The client has a live claim.  A renewal is coming up.  Service has logged two complaints.  Finance is worried about

Legacy Modernisation: The Moment an Insurer Stops Accepting Delay as Normal  On Monday morning, a sensible change is requested.  A pricing rule needs adjusting.  A product feature needs updating.  A broker journey needs simplifying.  A claims workflow needs tightening.  Everyone agrees it should happen.  But

From Legacy to AI: Why Insurance Needs One Connected Modernisation Agenda  Insurance leaders do not need more trend lists.  They already know the pressures.  Legacy platforms are hard to change. Data is fragmented. Claims and underwriting teams are under pressure to move faster. AI is

In a tougher market, operational clarity becomes a growth strategy  On Monday morning, the leadership team sits down with the latest numbers.  The mood is cautious. It has been that kind of quarter.  Energy costs are up again. Customers are taking longer to commit. Margins

In a tougher market, growth comes from trapped value, not bigger bets  When markets tighten, most leadership teams instinctively do the same things.  Cut discretionary spend. Slow hiring. Protect margin. Preserve cash.  All sensible.  But there is a danger in becoming so focused on defence

Why Data Foundation is Now a Business Priority in Every Industry  In 2026, almost every leadership team is being asked to do the same three things at once: move faster, automate more, and make better decisions with less room for error.  That sounds reasonable until you look

The Most Expensive Problem in Insurance AI Is Not The Model. It Is The Mess Before The Model.  Everyone is talking about AI in insurance.  Copilots. Agents. Automation. Faster underwriting. Smarter claims. Better service.  And yes, the opportunity is real.  McKinsey is right to point

AI ambition across UK insurance is high.  Board conversations are confident.  Budgets are allocated.  Pilot use cases are launched.  And the first one often works.  A claims triage model.  A fraud detection uplift.  A customer insight dashboard.  Then something unexpected happens.  The second use case takes

Automation First, Intelligence Where It Pays Artificial Intelligence is often described as transformative, disruptive, or revolutionary.  In reality, AI is something far simpler.  It is delegation.  When organisations deploy AI, they are delegating certain tasks away from humans and into systems. The problem is not that

Engaging Policyholders with Data and AI Introduction:   In today’s digital world, insurance customers have grown to expect the same personalised, seamless service they get from banks and retailers. Yet many policyholders still feel like their insurer doesn’t truly know them - they get generic marketing, one-size-fits-all products,