90% faster data prep
AI agent for Actuarial Analysts
From weeks of data prep to hours
Delegate the tedious work of loss data preparation to a specialized AI agent. It cleans historical claims data, standardizes formats, categorizes losses by type and severity, validates data integrity, and delivers model-ready datasets that feed directly into your pricing models.

Ideal for
Actuarial Teams
Pricing Analysts
Reserving Actuaries
Time comparison
Traditional way
2-3 weeks
With V7 Go agents
3-4 hours
Average time saved
90%
Why V7 Go
Processes any claims data format
To deliver model-ready datasets.



Import your files
Microsoft Excel
,
Snowflake
,
Google Sheets
Import your files from whereever they are currently stored
All types of Insurance documents supported
Once imported our system extracts and organises the essentials
Connect AI to your actuarial standards.
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Answers
What you need to know about our
AI agent for Actuarial Analysts
How does the agent handle inconsistent claim data formats?
The agent is designed to process real-world messy data. It recognizes common variations in date formats, currency notations, and claim descriptions, then standardizes them according to your firm's schema. For ambiguous cases, it flags records for manual review rather than making assumptions.
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Can it work with our existing actuarial software?
Yes. The agent outputs data in standard formats compatible with major actuarial platforms including Emblem, ResQ, ICRFS, and custom Excel-based models. We configure the output schema to match your specific modeling requirements.
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How does it categorize claims by loss type?
The agent uses your firm's classification taxonomy stored in a Knowledge Hub. It analyzes claim descriptions, loss codes, and historical categorization patterns to assign appropriate categories. You can refine the categorization logic based on your specific lines of business.
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What happens to claims it cannot categorize?
The agent flags any claims it cannot categorize with high confidence for manual review. It provides suggested categories with confidence scores, allowing your actuaries to make the final determination while still saving significant time.
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How does it ensure data accuracy for pricing models?
Every data transformation is documented and linked back to the source record. The agent performs validation checks against expected ranges, identifies statistical outliers, and cross-references claims data with policy information to ensure consistency before the data enters your models.
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Can it handle multi-year historical data?
Absolutely. The agent processes historical loss data spanning multiple years, accounting for changes in data formats, coding systems, and business practices over time. It normalizes historical data to current standards while preserving the integrity of loss development patterns.
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Next steps
Still spending weeks preparing data for pricing models?
Send us a sample of your historical claims data. We'll show you how the agent can deliver a cleaned, categorized dataset ready for modeling.












