About

RiskVision Agent is designed as an intelligent assistant for insurers, enabling deeper evaluation of contract risks and providing independent second opinions on pricing strategies. It supports actuaries by validating existing methodologies and offering advanced simulations to reduce uncertainty in risk assessments.

At the core of RiskVision lies a purpose-built AI modelling framework that benchmarks traditional actuarial outputs against advanced machine learning simulations. This combination delivers both predictive strength and interpretability, ensuring actuaries can make informed, transparent, and defensible pricing decisions

Pain Points Addressed

• Uncertainty in actuarial model validation.
  Traditional actuarial models often lack a reliable mechanism for independent validation, making it difficult for insurers to confirm the robustness of their assumptions.

• High operational costs for model calibration.
  Calibration of risk models typically requires significant manual effort and specialist resources, increasing both costs and time-to-market for new strategies.

• Risk of under- or overpricing contracts.
  Without advanced simulation, insurers face higher chances of mispricing, which can lead to loss of competitiveness, reduced profitability, or regulatory scrutiny.

• Limited ability to simulate alternative scenarios quickly.
  Legacy systems often cannot generate multiple “what-if” scenarios in real time, leaving insurers unprepared for shifts in market dynamics.

• Lack of a reliable second opinion.
  Actuarial teams may lack independent AI-driven validation, making it harder to challenge assumptions and justify pricing models to internal and external stakeholders.

Product Advantages

• Transparent, explainable outputs.
  RiskVision generates results with full interpretability, ensuring actuaries can explain and defend decisions to regulators and executives.

• Reduced actuarial risk through simulations.
  Advanced modelling capabilities allow insurers to stress-test pricing assumptions, lowering the probability of financial or compliance risks.

• Fast benchmarking of multiple models.
  The system quickly compares existing actuarial methods with AI-powered outputs, accelerating decision-making.

• Optimised contract-level pricing.
  By highlighting under- or overpricing at the contract level, RiskVision supports precise adjustments that enhance overall portfolio performance.

• Support for both strategic and operational decisions.
  RiskVision assists in day-to-day pricing adjustments while also providing insights for long-term planning and portfolio strategy.

Main Use Cases

• Independent validation of pricing and risk models.

• Running alternative simulations to assess portfolio sensitivity.

• Identifying cases of under- or overpricing contracts.

• Supporting actuaries with transparent, explainable second opinions.

• Improving strategic pricing confidence for long-term planning.

Functionality

• Contract Risk Modelling: Provides tools to simulate and evaluate contract-level risks under various assumptions.

• Benchmarking of Pricing Models: Compares internal actuarial models with AI-driven outputs to identify strengths and weaknesses.

• Scenario Simulation: Allows insurers to run “what-if” scenarios to stress-test pricing strategies.

• Validation and Transparency: Generates explainable results to support regulatory compliance and stakeholder confidence.

• Integration with Ecosystem: Works seamlessly with enrichment, cleansing, and reporting agents to deliver consistent outputs.

Latest version updates

Last Update March 2026