Cuvva: Reinventing insurance
Insurance is a conservative, legacy-laden industry, very like retirement savings. For decades, car insurers sold one-year policies, relying on opaque pricing, risk pools, and intermediaries.
Cuvva changed that. From day one, it designed a short-term, on-demand car insurance product via mobile. You can buy cover for one hour, one day, up to 28 days — no lengthy contract, no surprise fees.
Since its launch:
- Sold more than 13 million policies
- Insured over 2 million cars
- Reached 5 million app downloads
- Commands more than 6% of new monthly motor insurance policies in the UK via its app
How they did it
Cuvva’s model worked because they built everything around a customer-first, data-first design:
- Mobile-native experience: the app is the sole channel, designed for simplicity. Getting cover takes minutes: upload a licence, scan the car, identity verified instantly.
- Automated onboarding and compliance: KYC, driver history, and eligibility checks run in the background, allowing near-instant approvals.
- Dynamic risk pricing: instead of blunt categories, they partnered with behavioural analytics firms to integrate driving data, enabling personalised premiums.
- Lean operations: heavy reliance on automation in underwriting and claims means a small team can handle millions of customers.
- Product reframing: rather than compete on cheaper annual policies, they created a new category (hourly and daily insurance) that spoke directly to a previously underserved segment of drivers.
These operational choices matter. They show that disruption is not just about having a novel idea, but about designing processes, data infrastructure, and customer touchpoints from scratch to deliver it.
The lesson for Wealth Managers
Cuvva’s success came from reframing the product in a way only technology could make possible.
For Wealth Managers, the same opportunity exists. Not just to shave costs with AI but also to rethink what wealth management itself could be in an AI-native world.
The following ideas are provocations and examples to spark discussion, rather than real suggestions.
The real breakthroughs will come from inside the Wealth Management industry itself, where providers understand their members, regulations, and pain points better than anyone else.
AI gives you the tools, but the boldest ideas must be shaped by you.
- Micro-Savings Goals Layered on Retirement
Members could set small, near-term savings goals (a sabbatical, a course, or an emergency buffer) alongside retirement. AI dynamically balances these with long-term adequacy, managing trade-offs seamlessly in one account. - Hyper-Personalised Funds
Move beyond conservative, balanced, and growth. AI can create thousands of unique portfolios tuned to individual behaviour, preferences, and risk tolerance, continuously adjusting as circumstances change. - Living Pensions
Retirement shifts from a static annuity or lump sum to a dynamic income stream that adapts monthly to markets, inflation, health costs, and lifestyle. AI acts as an active steward throughout the whole retirement journey.
Where this leads
Cuvva showed that disruption doesn’t happen by digitising legacy models but by inventing new ones.
For New Zealand Wealth Managers and KiwiSaver providers, the challenge is to treat AI as the foundation for redefining what retirement savings mean for future generations.