Delivering platform transformation to support fully automated underwriting.
Like most businesses in the reinsurance sector, our customer had a decentralised legacy landscape where functional overlap featured heavily. Different applications - each covering the net/ gross pricing workflow - had been created for specialised Treaty and Facultative areas. This created inefficiencies for underwriters as they moved between multiple tools and interfaces.
Find out how we helped create a unified, streamlined underwriting platform geared for scale, consolidating legacy applications into a fully automated process.
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Campaign Vertical - Insurance - Modernise Core Insurance Systems #1
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ValueProp1 - Insurance
Modernise core insurance systems.
Reimagine key applications and processes to drive efficiency and bring new products to market quickly.
Consolidate legacy applications and processes into integrated, extensible workflows. Build commonality in a modern API-rich architecture that evolves with your business.
Move your core workloads to the cloud to leverage the advantages of a modern technology stack and access the scale and operational maturity of cloud platforms like Azure.
Run, manage and iterate models faster in robust, centralised environments for better decision-making.
Industrialise model development with automated data pipelines and model development workbenches. Rely on cloud scale to test, calibrate and compare models with large data sets.
Handle all kinds, volumes and velocities of data and make them usable for multiple consumers. Use metadata to build new models that cover new risks and enable the processing of dark data.
Deepen existing relationships and attract new customers with richer, more informed interactions and modern UX.
Simplify the user experience by combining smart questionnaires with data sourcing for both buying coverage and handling claims.
Unbundle your insurance products and make them accessible with APIs. Integrate new behavioural data (like IoT) for more granular risk segmentation and pricing that rewards risk avoidance.
The flexibility to work (and play) with high quality data on high performance platforms.
Build modular, scalable data pipelines. Integrate operational and analytical data architectures. Move away from rigid data models to flexible extensible data schemas.
Enable new initiatives, like live monitoring of pricing performance or detecting shifts in portfolios, risks and coverage requests over time.
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Value Proposition
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Empty Space insurance
Empty Space
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Vertical Campaign - Insurance - Resources
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Vertical Campaign - Insurance - Resource 1
The Automation Revolution In Underwriting with REALYTIX ZERO by Munich Re.
At this year’s Global Insurtech Summit in London on 18th April, Fintech Global interviews Robert to draw on his extensive experience and deep expertise in insurtech. Listen now.
Global insurtech summit, insurance, insurtech, insurers, reinsurers, Konrad Pfeffer, future-proof insurer
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2023-05-25T23:00:00Z
Robert Rimmele, Principal Architect at Ascent, shares his insights on the value of data, automation, and AI in insurance.
Are insurance firms fundamentally IT companies? How do we automate while giving customers a seamless experience? What do insurers really aim to achieve with AI?
At this year’s Global Insurtech Summit in London on 18th April, Fintech Global interviews Robert to draw on his extensive experience and deep expertise in insurtech.
Robert answers the following questions:
What are some of the biggest trends you are seeing in insurance?
How can improved data tools help insurance companies transform their operations?
Why is effectively leveraging data so critical in a highly competitive environment?
How should insurers be leveraging automation within their workflows?
How is Ascent helping insurers with their digitalisation efforts?
Robert Rimmele
Principal Architect
Ascent
Robert is a Principal Architect at Ascent, with over 20 years’ experience of delivering practical technical consulting to global insurers and reinsurers. His main interests are large-scale architectures for data intensive applications and software development models and organisations.
Our customer is a leading global provider of reinsurance, primary insurance and insurance-related risk solutions, with a reputation for innovation.
The brief.
Like most reinsurers, our customer had a decentralised legacy landscape with heavy functional overlap across a diverse range of technologies. Different applications — each covering the net/gross pricing workflow — had been created for specialised Treaty and Facultative areas. This created inefficiencies as underwriters moved between multiple tools and interfaces to complete pricing processes.
We were initially engaged to help create a unified, streamlined underwriting platform geared for scale, consolidating legacy applications into a single integrated workflow. Over time, these original requirements evolved into an innovation-led roadmap that would enable our customer to build competitive edge with second and third generation pricing capabilities. This included developing the ability to flexibly combine and link mathematical models across business segments, and later the ability to fully automate the underwriting process, using meta data to build new models that cover new risks and enable the processing of dark data.
The solution.
A multi-year project. Multiple teams. Multiple countries. We worked closely with actuaries and underwriters on a daily basis and built the deep domain knowledge to deliver success for our customer.
Underwriting platform
We consolidated net pricing kernels (developed by the actuaries under a common loss component interface) and introduced a Common Gross Pricing calculation that incorporated loadings and contract conditions.
To build commonality and to harmonise the legacy landscape, we designed a common reporting interface at a database level across all Treaty and Facultative business domains to normalise operations, and a common submission and coverage module to define semantics in proportional and non-proportional business.
This enabled us to standardise both the way offers are created and signed, and the management of long-tail triangle structures, bringing the workflow into a single tool through automation.
Exposure
We then built a system that would manage detailed location-based exposure data from various sources and formats ranging from EDM to Excel input.
The exposure system is cloud-native, built on Azure for scale, and accommodates varying modelling workloads and large exposure data volumes. Exposure data is transformed and normalised into a format where it can be analysed and used for natural catastrophe model runs, additionally interfacing with the underwriting platform where it is used to shape pricing.
Automated underwriting platform
To further competitive edge through digital innovation, we created a channel proposition for the insurance sector that transforms time-to-market for new products and services via a fully automated underwriting process.
The outcome.
The integrated underwriting system now allows thousands of underwriters across the globe to efficiently calculate reinsurance coverages, using significantly fewer tools. The new reporting interface has also given Corporate Underwriting a consolidated view of performance across all Treaty and Facultative insurance products.
The exposure system enables our customer to minimise the operational burden in risk analysis and modelling, and to improve modelling productivity overall — accessing, calibrating, comparing and deploying risk models in one place.
The automated underwriting platform has helped our customer maintain their position at the frontier of insurance innovation, helping its channel partners launch, distribute and scale new or existing insurance products significantly faster, reducing costs and increasing process efficiency.
