PREDiCT: Empowering claims handlers, enhancing outcomes

PREDiCT: Empowering claims handlers, enhancing outcomes

Here at Weightmans we understand the market challenges many UK claims handlers and insurers contend with today. Increasing customer demands, rising numbers of claims and significant recent costs inflation have made a solution that improves reserving accuracy, reduces claims lifecycles and optimises financial outcomes even more critical. This realisation has led to the creation of our suite of predictive analytics tools, PREDiCT Large Loss and PREDiCT Volume. The PREDiCT suite is a market leading predictive data and analytics capability developed by our in-house data scientists.

Unlock the potential of PREDiCT for the benefit of your business

Personal injury claims present significant practical challenges; not only is the reserving process often carried out with limited insight into the nature and severity of a Claimant’s injuries, it is also conducted against a backdrop of rising claims inflation and wider economic volatility. All of these factors can lead to protracted claims lifecycles and indemnity spend leakage, impacting claims performance and bottom-line profitability. 

What is PREDiCT Large Loss?

PREDiCT Large Loss utilises data from over 1500 individual claims harvested over a 12 year period, providing actionable insights to drive improved performance while benefiting every stakeholder involved in the claims process.

How can PREDiCT Large Loss help you?

In July 2021 we conducted a full market launch of PREDiCT. We have scrutinised performance closely since launch, and focused on PREDiCT’s three key performance indicators which are set out below: 

Improved reserving accuracy

PREDiCT uses augmented intelligence modelling trained on our significant data set to deliver optimum reserving in the context of a particular claim. 

Client-approved reserving has improved from +138% compared to ultimate paid outcomes, to +55% with the benefit of PREDiCT's insights. 

This improved reserving accuracy has opened the potential for the release of significant capital lock-up for reinvestment purposes. 

Reduced claims lifecycle

Cases on which PREDiCT Large Loss was used to inform pro-active case handling strategies delivered a 7% reduction in median claims lifecycle.

Lower overall indemnity spend

PREDiCT helps improve financial outcomes, and reduces overall indemnity spend. Average damages paid in cases which have used PREDiCT have seen settlements achieved at a 16% lower percentile compared to client-approved reserves. Accelerated claim lifecycles have also helped avoid additional layers of cost. 

Making the complex simple

PREDiCT mitigates the lack of claim information at initial reserving by modelling for different outcomes, enabling handlers to validate their own thought processes. 

Accelerating settlement times

PREDiCT outputs can be used to inform early Part 36 offers without first gathering a body of expert evidence. 

PREDiCT Large Loss

What is PREDiCT Volume?

PREDiCT Volume is our latest data driven innovation. Launched to market in June 2025, PREDiCT Volume has been developed from the ground up to improve reserve accuracy and drive reductions in claims lifecycles and indemnity spend in Motor and EL/PL claims valued up to £50,000 in respect of damages.

How can PREDiCT Volume help you?

The tool was developed from a pool of data harnessed from over 10,000 low value claims concluded over a period spanning more than  years. PREDiCT Volume’s models were rigorously tested during a two-year pilot, providing hard data to validate the tool’s performance.

Improved reserving accuracy

Contrasting total paid outcomes for costs and damages combined against both client approved handler reserves and the corresponding recommendations of PREDiCT Volume, saw approved reserves exceed paid outcomes by 58.82%. PREDiCT Volume’s reserve forecasts were significantly more accurate, exceeding paid outcomes by only 8.59%. Demonstrating a potential reduction of £18.7m in capital reserve lock up.

Reduced claims lifecycle

The cases in which the tool was deployed saw a mean reduction in claims lifecycles of 14.24%, when contrasted with cases in which the tool was not used. Reductions in claims lifecycles occurred in all value bands, with the greatest reductions occurring in the £40,000 to £50,000 band.

Lower overall indemnity spend

Our analysis reveals a potential saving of £3.82m over the portfolio of 1,872 cases falling into the pilot.

PREDiCT Volume

Download PREDiCT report

Get started with PREDiCT 

If you’re exploring a claims solution for your organisation or would like to learn about the many more ways PREDiCT can empower your claims handlers and enhance your settlement outcomes, click below. You can expect to meet one of our team members who will share our insight into the claims industry and how PREDiCT can help you.