InsurSight

InsurSight is an analytics and automated trend identification platform which will allow you to materially accelerate your data analytics and reserving processes.

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InsurSight takes the pain out of the reserving process, freeing up time for insurers to address critical market developments.

InsurSight is an award winning platform, used by some of the largest London Market and international insurers to assess over £100bn of insurance reserves.

Key features of the platform include:

Integrated artificial intelligence delivers your first-cut reserves in minutes.
Key reserving assumptions are automatically highlighted, to focus on judgments that really matter.
Easy to fine tune assumptions, with a full range of advanced diagnostics.

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Identify trends

Automated trend identification

LCP InsurSight Identify combines machine learning with cutting edge analytics to automatically identify emerging trends in any metric across your entire book.
Drill down, slice & dice

With LCP InsurSight, you can slice and dice your data however you want at the touch of a button.

Drill down to identify the drivers and causes of emerging trends – eg changes in profitability, case reserving strength, or claims development.
Custom dashboards

LCP InsurSight’s dashboards are fully customisable to focus on the issues that are most important to your business.

These quick-access dashboards facilitate feedback loops between different areas of the business. For example:

Helping the pricing function to react to emerging reserving trends.

Helping management understand and challenge reserving assumptions.

Providing greater synergies between the claims and reserving teams.
Frictionless audit trails

LCP InsurSight's built-in tagging and commenting makes escalating issues and recording discussions a natural part of your work.

InsurSight makes it easy to:

Action important issues.

Clearly record key judgements.

Record discussion and evidence of feedback loops.

Predict performance

Automated reserving

InsurSight automatically sets first-cut reserves for every reserving class and cohort in minutes.

InsurSight automatically sets the assumptions used in traditional reserving approaches. For example, pattern averaging periods, method selection etc.

InsurSight also shows you where to prioritise your time, using the ‘universe of reserves^TM’ to show where there is the most uncertainty in the automatically selected reserves.
Key assumptions prioritised

InsurSight shows you which reserving assumptions are the most important for each reserving class.

This gives you clarity on which assumptions to focus on right at the start of the reserving process, giving more time for wider business input on key judgements.
Easy-to-review diagnostics

Easy-to-review data visualisations of key assumption selections and diagnostics are set up automatically right at the start of the process.

For each key assumption, the selection made is clearly shown alongside alternatives that could have been used.

Reserving diagnostics used by regulators, such as weakening of case estimates, are embedded into the reserving process.

Dashboards are fully customisable, set up in seconds, and highlight the key features of each reserving class.
Assumption fine-tuning

Easily adjust any assumption set automatically by InsurSight, and fine-tune specific assumptions where necessary. For example:

For development patterns you can: make exclusions, set averaging periods, set tail assumptions, and set patterns by cohort.

For initial expecteds you can: on-level past ULRs for rate change and inflation, use various trending approaches, and adjust weights used in averages for specific cohorts (eg where there are unusually large or small losses).

For method selection you can: apply custom weights by cohort to a range of methods across paid, incurred, frequency-severity, DFM, BF and Initial Expected methods.
Machine learning enhanced selections

InsurSight's machine learning powered assumption setting separates the signal from the noise in your data, helping you set assumptions with more confidence.

Dashboards are fully customisable, set up in seconds, and highlight the key features of each reserving class.

Our experts

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Our recent awards

Reserving solution of the year

InsuranceERM Awards 2025
Analytics solution of the year

InsuranceERM Awards 2023
Best use of AI & Technology Innovation of the year

Insurance Times Tech & Innovation Awards 2023
Excellence in Risk Management

Insurance Times Awards 2022
Risk modelling technology of the year

Insurance Times Tech & Innovation Awards 2022
Excellence in Technology (Bronze)

Insurance Times Awards 2021
Reserving solution of the year

InsuranceERM Awards 2021
Analytics solution of the year

InsuranceERM Awards 2021

Frequently asked questions

: LCP InsurSight dramatically streamlines the reserving process by combining actuarial expertise with cutting-edge AI. Its automated reserving capabilities generate high-quality first-cut reserves across hundreds of classes in minutes—saving some insurers over 80% of the time previously required. Built-in governance and customisable dashboards ensure the process remains robust, collaborative, and insightful.

: LCP InsurSight leverages AI to detect and prioritise key trends and changes in your data, far beyond what manual analysis alone can surface. It enables insurers to monitor emerging risks—such as deteriorating claims experience, reserve inadequacies, or inflation impacts—early and across multiple layers of the portfolio, allowing proactive business decisions.

: Yes. LCP InsurSight is the only cloud-native reserving platform built from the ground up to fully integrate AI, advanced analytics, actuarial modelling, and governance in a single workflow. It fits thousands of traditional reserving methods to your data and scores them to recommend the best fit—enhancing accuracy and reducing manual workload.

: LCP InsurSight brings machine learning into the heart of reserving by analysing vast datasets, automatically selecting optimal reserving methods, and highlighting outliers or changes that require expert attention. It helps insurers move from reactive to proactive reserving, uncovering insights that were previously hard to detect manually.

: LCP InsurSight stands out with its interactive dashboards, real-time data visualisation, and intuitive design. Users can view portfolio-level summaries and instantly drill down into individual lines or classes. The platform supports better team collaboration and clearer communication with stakeholders—turning complex reserving data into clear, actionable insight.