The Problem
In general insurance, most of what we call innovation is horizontal. We copy each other’s models, tweak algorithms, optimise within silos. That takes us from one to many, but it does not change the game.
The Spark
At Consumer Intelligence we realised we had an opportunity to approach things differently. With our whole-of-market dataset, we could push for vertical progress. We could use our data to create context and bring explainability into models that are often treated as black boxes.
The Journey
Over the past 12 months, we have explored how explainable AI can be combined with market-wide context to provide clarity and credibility. It does not just help insurers optimise, it helps them rethink.
The Result
When you step back, you see that there are different strategies at play. Some insurers protect retention, others push for volume, some pivot into new customer clusters. There is not one way forward, there are many and with context, you can see where your own strategy fits.
Closing Thought
Horizontal innovation will always matter, but the breakthroughs come from going vertical. That means creating something new, not just copying what already exists. By combining explainable AI with whole-of-market insight, we can help insurers escape the black hole of opaque models and move from one to many into zero to one.
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