More return,
less churn.
Within 3 months. Predictable growth.
No IT project. More rewarding work
for advisers.
From day one. Give the right client
the right attention.
Today.

No. Onesurance is designed to go live without a heavy IT project. In most implementations, only client, policy and claims data needs to be provided. We handle the further setup and onboarding. We also work with integration partners who can further reduce the IT effort required from your organisation. We are happy to tell you more during a demo.

We start with a phase in which data is ingested and analysed. Within a few weeks the first insights and priorities in your book emerge. This is followed by targeted client actions, improving retention, cross-sell and conversion. In the first months the impact on your book and revenue becomes visible.

We work in four phases, so you stay in control at every stage and only scale up when the results justify it. In phase 1 we analyse your book data and build a concrete business case -- without burdening IT. In phase 2 we translate this into a strategy with an interactive dashboard for your management team. In phase 3 we test the solutions with a pilot group of advisers in practice, measure the impact and optimise where needed. Only in phase 4 do we scale to the entire organisation. You pay a fixed monthly fee with no surprises, and after phase 2 and phase 3 you decide whether and how to proceed.

Data security is a fundamental part of Onesurance. All data is processed within secured Azure EU environments and remains fully owned by your organisation. We comply with UK GDPR and relevant security standards. Data is used exclusively for analyses on your own book and is never shared with other parties.

In practice, the change for advisers is minimal. Advisers receive a prioritised work list of clients where they can make the greatest impact, replacing manual searching through the entire book. AI agents automatically surface client context, risks and advice opportunities, and prepare response suggestions or actions. This enables advisers to give faster, more targeted advice. In practice, a brief introduction is sufficient to get started.

Onesurance is designed as an intelligent decision layer on top of existing systems. Your current systems remain the source of truth; we use available data to prioritise risks and commercial opportunities. We can start without heavy integrations. CRM connections or other system integrations can be added later so that actions and insights are embedded into existing workflows.

The financial value comes primarily from reduced churn, more policies per client and higher conversion on advice and client actions. This leads to higher commission, more revenue per client and book growth. Organisations consistently achieve an ROI that is a multiple of the investment.

Onesurance works with a fixed price per client per year. The price depends on the mix of commercial and personal lines clients and the size of your book -- the more clients, the lower the rate. This links the investment directly to your book size and the value you extract from it. See an indication of pricing or request a concrete calculation in a demo.

Building this kind of capability means developing data models, AI models, prioritisation logic, adviser tooling and continuous maintenance and development. Onesurance is a platform purpose-built for this and continuously developed. By working with Onesurance you get this capability immediately, without a multi-year build programme and a dedicated team.

Zelros, Earnix and Akur8 are strong players, but they solve a fundamentally different problem. All three serve insurers, not brokers. Zelros builds AI recommendations for carriers such as Generali and Zurich. Earnix optimises premium calculations for insurers such as Allianz and AXA. Akur8 automates rate modelling for carriers such as Tokio Marine.

Onesurance is the only AI solution specifically built as a growth engine for brokers. We help brokers grow their book through cross-sell, retention and acquisition -- not help insurers optimise their pricing. Plug-and-play on your existing book data, no data science team required, operational within weeks.

We always start with a trial period in which value is actively measured and evaluated on your own book data. If the platform does not deliver sufficient value, you can stop without further obligations. This means the risk of getting started is low, while the potential impact on retention and growth is significant.