List of Willis Towers Watson Radar Customers
Willis Towers Watson (WTW)
51 Lime Street,
London, x, EC3M 7DQ,
United Kingdom
London, x, EC3M 7DQ,
United Kingdom
44 20 3124-6000
Professional Services
48100
$9.7B
Since 2010, our global team of researchers has been studying Willis Towers Watson Radar customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Willis Towers Watson Radar for Insurance Pricing and Rating Engine from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Willis Towers Watson Radar for Insurance Pricing and Rating Engine include: Allianz, a Germany based Insurance organisation with 138378 employees and revenues of $131.64 billion, Generali Italia, a Italy based Insurance organisation with 88000 employees and revenues of $98.00 billion, Allianz Austria, a Austria based Insurance organisation with 17000 employees and revenues of $51.20 billion, Chubb USA, a United States based Insurance organisation with 16650 employees and revenues of $33.70 billion, ERGO Insurance, a Germany based Insurance organisation with 36000 employees and revenues of $24.80 billion and many others.
Contact us if you need a completed and verified list of companies using Willis Towers Watson Radar, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Willis Towers Watson Radar customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Acorn Insurance and Financial Services | Insurance | 1442 | $156M | United Kingdom | Willis Towers Watson | Willis Towers Watson Radar | Insurance Pricing and Rating Engine | 2017 | n/a |
In 2017, Acorn Insurance supported the implementation of Willis Towers Watson Radar as an Insurance Pricing application during a focused engagement in Liverpool between February and May 2017. The engagement delivered price optimization on aggregator placements through pricing initiatives, sensitivity analysis and ad hoc management reporting.
Willis Towers Watson Radar was configured to provide price optimization workflows, sensitivity and scenario analysis and management reporting for pricing decision making. Configuration work emphasized pricing model parameterization and report templates to improve transparency into target market position, aligning with typical Insurance Pricing capabilities such as elasticity testing and portfolio segmentation.
Operational coverage centered on the pricing team with direct impacts to underwriting and portfolio management, specifically addressing aggregator channel placements. The Pricing Analyst role executed sensitivity analysis and produced management reports used by pricing and commercial functions to inform initiatives and rate actions.
Governance activity focused on embedding Radar as a source of price transparency and improving understanding of the target market, supporting decision workflows for pricing initiatives. Explicit outcomes recorded during the engagement include delivered price optimization on aggregator placements and enhanced price transparency and market understanding through the use of Willis Towers Watson Radar.
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Ageas UK | Insurance | 1950 | $2.1B | United Kingdom | Willis Towers Watson | Willis Towers Watson Radar | Insurance Pricing and Rating Engine | 2023 | n/a |
In 2023 Ageas UK deployed Willis Towers Watson Radar as an Insurance Pricing and Rating Engine to introduce real time pricing into its UK Motor business. The deployment centers on the Radar Live capability, combining machine learning with more traditional actuarial models to deliver automated rating and underwriting decisions to brokers in real time.
Implementation focused on modular pricing and underwriting workflows within Willis Towers Watson Radar, with Radar Live providing live score calculation, segmentation logic, and model orchestration. Configuration included personalised pricing rules and model outputs that distinguish fine grained attribute differences, for example differentiating temporary unemployment from long term unemployment and extending young driver assessment beyond age alone, supporting granular rating for retirement segment customers as part of Ageas UK technical insurance capability.
Operational coverage is primarily UK Personal Lines motor, with the solution instrumenting broker quote flows and live rating endpoints to increase quote conversion and panel share. The narrative explicitly states plans to integrate Willis Towers Watson Radar into the Home insurance portfolio beginning in 2024, extending the Insurance Pricing and Rating Engine across product lines.
Governance and process changes centered on enabling pricing teams to execute rapid, data driven decisions, and on embedding underwriting expertise into model calibration and release cycles. The implementation restructured frontline pricing and broker interfaces to support real time decisioning, while retaining actuarial oversight for segmentation and model validation.
Ageas UK reports that the Radar Live deployment increased pricing agility and improved pricing accuracy while supporting lower operational costs, giving brokers a competitive advantage in Personal Lines motor and widening Ageas panel footprint by converting more quotes into policies. No implementation partner is specified.
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AIG Australia | Insurance | 500 | $1.2B | Australia | Willis Towers Watson | Willis Towers Watson Radar | Insurance Pricing and Rating Engine | 2019 | n/a |
In 2019, AIG Australia implemented Willis Towers Watson Radar as an Insurance Pricing and Rating Engine to support its pricing and reserving actuarial functions. The deployment was targeted at the firm’s actuarial organization, with direct use by Pricing and Reserving Actuaries and coordination with the APAC Package and Technical Modelling Lead Actuary and local pricing teams.
The implementation focused on core pricing and rating capabilities, including configurable rating models, technical raters, claims modelling, customer behaviour analyses for conversion and retention, scenario pricing, and portfolio monitoring and analytics frameworks. Configuration work referenced use cases such as detailed profitability studies and budget loss ratio by segment, and the implementation aligned with advanced analytics and predictive modelling workflows commonly executed in Python, R, and SQL. The narrative around Willis Towers Watson Radar also sits alongside experience expectations for related WTW product suites such as Radar Base and Emblem.
Operational integration emphasized access to enterprise databases and data extraction and manipulation routines to feed rating and reserving models, with the system supporting cross functional inputs from Underwriting, Finance, Claims, Operations, and Risk Management. The rollout scope included the Sydney actuarial team with APAC coordination, reflecting in-office collaboration preferences and regional actuarial governance.
Governance constructs described in role responsibilities informed model validation and sign off, portfolio review cadence, and alignment of pricing outputs with underwriting and finance decision making. Operational controls emphasized project and time management, prioritized technical raters and monitoring workflows, and maintained analyst-led stewardship of model configurations within the Insurance Pricing and Rating Engine environment.
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AIG Insurance Brazil | Insurance | 600 | $200M | Brazil | Willis Towers Watson | Willis Towers Watson Radar | Insurance Pricing and Rating Engine | 2017 | n/a |
In 2017, AIG Insurance Brazil implemented Willis Towers Watson Radar as its Insurance Pricing and Rating Engine to support actuarial pricing and rater delivery. The deployment positioned Willis Towers Watson Radar to serve as a non-code authoring and calibration environment for raters used by actuaries and underwriters in Brazil, aligning the application directly with actuarial pricing workflows.
Willis Towers Watson Radar was configured to provide core rating rule authoring, tariff and rate table management, scenario testing, model documentation and embedded audit controls, reflecting capabilities typical of an Insurance Pricing and Rating Engine. The implementation emphasized reproducible model packaging and documentation to support actuarial model lifecycle activities, including version control, model artifacts and governance checkpoints.
The Radar instance was integrated into AIG’s broader modelling ecosystem, operating alongside code-first model development platforms such as AWS SageMaker where coded models are created, trained and deployed, allowing non-code Radar workflows to coexist with programmatic pipelines. Operational ownership covered the Actuarial and Underwriting functions, with Product Actuaries and Pricing teams using Radar outputs to inform rater configuration and pricing decisions across AIG Insurance Brazil.
Governance and rollout focused on establishing documentation standards, validation controls and model risk considerations, paired with training for actuaries in the use of non-code modelling and rater maintenance. Ongoing operational procedures emphasized model controls, change management and cross-functional collaboration between Actuarial, Underwriting and Pricing stakeholders to maintain rating integrity and regulatory compliance.
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AIG Insurance Company - Puerto Rico | Insurance | 100 | $93M | Puerto Rico | Willis Towers Watson | Willis Towers Watson Radar | Insurance Pricing and Rating Engine | 2017 | n/a |
In 2017, AIG Insurance Company - Puerto Rico deployed Willis Towers Watson Radar as a core system for actuarial pricing operations. Willis Towers Watson Radar was implemented as an Insurance Pricing and Rating Engine to operationalize rater logic and non-code modelling pipelines that support pricing and underwriting decisioning.
The implementation focused on configuration of rating rules, parameterized tariff structures, exposure mapping and versioned rater releases, enabling actuaries to assemble and iterate rating logic without bespoke coding. Willis Towers Watson Radar was configured to standardize model inputs, capture business rules, and produce auditable rate tables and scenario outputs consistent with common Insurance Pricing and Rating Engine functional workflows.
Operationally the Radar deployment was embedded into AIGs Modelling and Advanced Analytics and Product Actuary workflows, coordinating with Underwriting and Pricing MI teams across AIGs North America footprint including the Puerto Rico operating company. Where coded predictive models were part of the portfolio, the broader architecture aligned Radar non-code pipelines with AIGs coded model practice on AWS Sagemaker, providing a hybrid model delivery approach for rater calibration and score ingestion.
Governance emphasis included documented build standards, controls, model change logs, and training for actuarial and underwriting users, with the Modelling and Advanced Analytics team providing oversight and subject matter leadership. Delivery practices reflected iterative Agile planning, model documentation and validation requirements, and targeted coaching to drive adoption of Radar within actuarial pricing and underwriting business functions.
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Insurance | 100 | $20M | Ireland | Willis Towers Watson | Willis Towers Watson Radar | Insurance Pricing and Rating Engine | 2018 | n/a |
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Insurance | 1450 | $830M | Mexico | Willis Towers Watson | Willis Towers Watson Radar | Insurance Pricing and Rating Engine | 2017 | n/a |
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Insurance | 138378 | $131.6B | Germany | Willis Towers Watson | Willis Towers Watson Radar | Insurance Pricing and Rating Engine | 2017 | n/a |
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Insurance | 405 | $140M | Argentina | Willis Towers Watson | Willis Towers Watson Radar | Insurance Pricing and Rating Engine | 2016 | n/a |
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Insurance | 5500 | $7.8B | Australia | Willis Towers Watson | Willis Towers Watson Radar | Insurance Pricing and Rating Engine | 2016 | n/a |
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Buyer Intent: Companies Evaluating Willis Towers Watson Radar
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Willis Towers Watson Radar. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Willis Towers Watson Radar for Insurance Pricing and Rating Engine include:
- Guidewire Germany, a Germany based Professional Services organization with 80 Employees
- Myrtle Beach Metro Campus, a United States based Education company with 3210 Employees
- SwissLife Germany, a Germany based Insurance organization with 1500 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated |
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Guidewire Germany | Professional Services | 80 | $8M | Germany | 2026-03-26 |
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Myrtle Beach Metro Campus | Education | 3210 | $510M | United States | 2025-05-28 |
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SwissLife Germany | Insurance | 1500 | $250M | Germany | 2025-05-20 |
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Healthcare | 60 | $6M | United States | 2025-05-14 |
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Professional Services | 7900 | $3.7B | United States | 2025-04-08 |
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Professional Services | 15 | $1M | United Kingdom | 2024-08-02 |
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Insurance | 57500 | $11.5B | Canada | 2024-07-02 |
FAQ - APPS RUN THE WORLD Willis Towers Watson Radar Coverage
Willis Towers Watson Radar is a Insurance Pricing and Rating Engine solution from Willis Towers Watson.
Companies worldwide use Willis Towers Watson Radar, from small firms to large enterprises across 21+ industries.
Organizations such as Allianz, Generali Italia, Allianz Austria, Chubb USA and ERGO Insurance are recorded users of
Willis Towers Watson Radar for Insurance Pricing and Rating Engine.
Companies using Willis Towers Watson Radar are most concentrated in Insurance, with adoption spanning over 21 industries.
Companies using Willis Towers Watson Radar are most concentrated in Germany, Italy and Austria, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Willis Towers Watson Radar across Americas, EMEA, and APAC.
Companies using Willis Towers Watson Radar range from small businesses with 0-100 employees - 3.74%, to mid-sized firms with 101-1,000 employees - 49.53%, large organizations with 1,001-10,000 employees - 38.32%, and global enterprises with 10,000+ employees - 8.41%.
Customers of Willis Towers Watson Radar include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified Willis Towers Watson Radar customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Insurance Pricing and Rating Engine.