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Insurance Illustration Software Built for AI-Driven Accuracy and Scale

Insurance teams need faster, more reliable ways to generate complex policy illustrations across life, annuity, pension, and wealth products. Scry AI’s insurance illustration software uses AI to learn formulas, generate accurate outputs, validate calculations, and produce compliant illustration documents at scale.

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The Reality of Insurance Illustration Generation

Life insurance providers manage complex product portfolios across multiple policy types, riders, benefit structures, and customer variables such as age, risk profile, and coverage needs. Creating policy illustrations requires combining information from policy systems, external tables, product documents, and historical outputs to calculate values such as account balances, surrender values, and death benefits.

These calculations often depend on deeply embedded formulas and business rules spread across legacy systems, spreadsheets, and documentation. As products become more complex, generating accurate and compliant illustrations becomes harder to scale. Teams often depend on rigid systems, manual validation, and specialist intervention to keep outputs consistent.

How Insurance Illustrations Are Generated Today

Most financial intelligence and risk assessment workflows still rely on analyst effort...

1
Data aggregation
Inputs are gathered from policy systems, rider details, tables, and product documents.
2
Rule-based calculations
Legacy systems apply predefined formulas and embedded business logic.
3
Manual validation
Teams review outputs for calculation accuracy, compliance, and consistency.
4
Document generation
Illustrations are produced using fixed formats, disclosures, and predefined text.
5
Limited flexibility
Product changes often require system updates, rule changes, and SME support.
6
Scaling pressure
As policy types, riders, and scenarios grow, the process becomes harder to maintain.

Scry AI’s AI-Based Illustrations Solution

Scry AI’s AI-Based Illustrations Solution, powered by Collatio® and Datatio®, automates the learning, generation, and validation of insurance illustrations. It helps carriers modernize life insurance illustration software and annuity illustration workflows without relying only on rigid legacy calculation engines.

  • AI-Learned Calculation Logic

    Learns underlying formulas from historical illustrations, policy data, and structured inputs.

  • Business Rule Reverse Engineering

    Identifies complex transformation logic and embedded rules across products and scenarios.

  • Automated Numerical Output Generation

    Generates account values, surrender values, death benefits, and other illustration outputs aligned with existing systems.

  • Standardized PDF Generation

    Produces structured illustration PDFs with correct disclosures, formatting, and required text.

  • NLP and NLG for Illustration Text

    Learns and generates rider language, policy text, and illustration narratives.

  • Structured and Unstructured Data Integration

    Combines data from policies, riders, external tables, documents, and historical illustrations.

  • Scalable Product Support

    Extends across multiple policy types, riders, life products, annuities, pensions, and wealth products.

Clients

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Modernize Insurance Illustration Generation with AI

Generate accurate, compliant, and scalable insurance illustrations across life, annuity, pension, and wealth products.

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Insightful Resources

Discover how SCRY AI solutions bring accuracy and innovation in document processing, conversational AI, and IoT operations.

Frequently Asked Questions

What is insurance illustration software?

Insurance illustration software helps insurers generate policy projections, benefit values, disclosures, and customer-facing illustration documents for insurance and annuity products.

Scry AI uses AI to learn calculation formulas, reverse engineer business rules, generate numerical outputs, validate results, and produce standardized PDF illustrations.

Yes. The solution is suited to annuity illustration use cases involving benefit projections, product simulations, account values, disclosures, and scenario-based calculations.

It can work with policy data, rider details, external tables, product documents, historical illustrations, structured records, and unstructured text.

It supports policy illustration generation, benefit projections, product simulation, regulatory disclosures, and modernization of legacy calculation engines.