90% faster data extraction
AI Actuarial Analysis Agent
From weeks of data gathering to hours of analysis
Delegate the data extraction phase to a specialized AI agent. It reads financial statements, claims reports, policy documents, and regulatory filings to pull mortality rates, claims frequencies, policy counts, and other actuarial metrics. Your team gets clean, structured data ready for modeling—freeing actuaries to focus on assumptions and valuations.

Ideal for
Actuarial Teams
Risk Management
Insurance Operations

See AI Actuarial Analysis Agent in action
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See AI Actuarial Analysis Agent in action
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See AI Actuarial Analysis Agent in action
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Pension Plan Valuation Data Extraction
See AI Actuarial Analysis Agent in action
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Time comparison
Time comparison
Traditional way
3-4 weeks
With V7 Go agents
4-8 hours
Average time saved
90%
Why V7 Go
Why V7 Go
Automated Mortality & Claims Extraction
Pulls mortality rates, claims frequencies, claim amounts, and policy counts from financial statements, claims reports, and regulatory filings into structured, analysis-ready formats.
Automated Mortality & Claims Extraction
Pulls mortality rates, claims frequencies, claim amounts, and policy counts from financial statements, claims reports, and regulatory filings into structured, analysis-ready formats.
Automated Mortality & Claims Extraction
Pulls mortality rates, claims frequencies, claim amounts, and policy counts from financial statements, claims reports, and regulatory filings into structured, analysis-ready formats.
Automated Mortality & Claims Extraction
Pulls mortality rates, claims frequencies, claim amounts, and policy counts from financial statements, claims reports, and regulatory filings into structured, analysis-ready formats.
Multi-Source Data Consolidation
Gathers actuarial data from disparate sources—PDFs, spreadsheets, legacy systems, regulatory documents—and normalizes it into a single, consistent dataset for modeling.
Multi-Source Data Consolidation
Gathers actuarial data from disparate sources—PDFs, spreadsheets, legacy systems, regulatory documents—and normalizes it into a single, consistent dataset for modeling.
Multi-Source Data Consolidation
Gathers actuarial data from disparate sources—PDFs, spreadsheets, legacy systems, regulatory documents—and normalizes it into a single, consistent dataset for modeling.
Multi-Source Data Consolidation
Gathers actuarial data from disparate sources—PDFs, spreadsheets, legacy systems, regulatory documents—and normalizes it into a single, consistent dataset for modeling.
Policy & Coverage Detail Parsing
Extracts policy-level details including coverage types, benefit limits, deductibles, and rider information from complex policy documents and schedules.
Policy & Coverage Detail Parsing
Extracts policy-level details including coverage types, benefit limits, deductibles, and rider information from complex policy documents and schedules.
Policy & Coverage Detail Parsing
Extracts policy-level details including coverage types, benefit limits, deductibles, and rider information from complex policy documents and schedules.
Policy & Coverage Detail Parsing
Extracts policy-level details including coverage types, benefit limits, deductibles, and rider information from complex policy documents and schedules.
Historical Trend Analysis
Processes multi-year financial and claims data to identify trends in mortality, morbidity, lapse rates, and expense ratios for assumption-setting.
Historical Trend Analysis
Processes multi-year financial and claims data to identify trends in mortality, morbidity, lapse rates, and expense ratios for assumption-setting.
Historical Trend Analysis
Processes multi-year financial and claims data to identify trends in mortality, morbidity, lapse rates, and expense ratios for assumption-setting.
Historical Trend Analysis
Processes multi-year financial and claims data to identify trends in mortality, morbidity, lapse rates, and expense ratios for assumption-setting.
Regulatory Compliance Data
Extracts required regulatory metrics and disclosures from 10-K filings, statutory statements, and compliance reports to support audit and filing requirements.
Regulatory Compliance Data
Extracts required regulatory metrics and disclosures from 10-K filings, statutory statements, and compliance reports to support audit and filing requirements.
Regulatory Compliance Data
Extracts required regulatory metrics and disclosures from 10-K filings, statutory statements, and compliance reports to support audit and filing requirements.
Regulatory Compliance Data
Extracts required regulatory metrics and disclosures from 10-K filings, statutory statements, and compliance reports to support audit and filing requirements.
Verifiable Data Lineage
Every extracted data point is linked back to its source document with AI Citations, creating a complete audit trail for valuation support and regulatory review.
Verifiable Data Lineage
Every extracted data point is linked back to its source document with AI Citations, creating a complete audit trail for valuation support and regulatory review.
Verifiable Data Lineage
Every extracted data point is linked back to its source document with AI Citations, creating a complete audit trail for valuation support and regulatory review.
Verifiable Data Lineage
Every extracted data point is linked back to its source document with AI Citations, creating a complete audit trail for valuation support and regulatory review.
Extracts actuarial data from any source
To accelerate your valuation and modeling work.
Get started
Get started
Import your files
Microsoft Sharepoint Online
,
Microsoft Excel
,
Snowflake
Import your files from whereever they are currently stored
All types of Insurance documents supported
Once imported our system extracts and organises the essentials
Customer voices
Customer voices
Connect AI to your actuarial process.
Connect AI to your actuarial process.
Free your team from data extraction.
Free your team from data extraction.
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Customer Voices
Industrial equipment sales
Read the full story
Industrial equipment sales
Read the full story
Insurance
We have six assessors. Before V7 Go, each would process around 15 claims a day, about 90 in total. With V7 Go, we’re expecting that to rise to around 20 claims per assessor, which adds up to an extra 30 claims a day. That’s the equivalent of two additional full-time assessors. Beyond the cost savings, there’s real reputational gains from fewer errors and faster turnaround times.
Read the full story
Insurance
We have six assessors. Before V7 Go, each would process around 15 claims a day, about 90 in total. With V7 Go, we’re expecting that to rise to around 20 claims per assessor, which adds up to an extra 30 claims a day. That’s the equivalent of two additional full-time assessors. Beyond the cost savings, there’s real reputational gains from fewer errors and faster turnaround times.
Read the full story
Real Estate
Prior to V7, people using the software were manually inputting data. Now it’s so much faster because it just reads it for them. On average, it saves our customers 45 minutes to an hour of work, and it’s more accurate.
Read the full story
Real Estate
Prior to V7, people using the software were manually inputting data. Now it’s so much faster because it just reads it for them. On average, it saves our customers 45 minutes to an hour of work, and it’s more accurate.
Read the full story
Industrial equipment sales
Read the full story
Insurance
We have six assessors. Before V7 Go, each would process around 15 claims a day, about 90 in total. With V7 Go, we’re expecting that to rise to around 20 claims per assessor, which adds up to an extra 30 claims a day. That’s the equivalent of two additional full-time assessors. Beyond the cost savings, there’s real reputational gains from fewer errors and faster turnaround times.
Read the full story
Real Estate
Prior to V7, people using the software were manually inputting data. Now it’s so much faster because it just reads it for them. On average, it saves our customers 45 minutes to an hour of work, and it’s more accurate.
Read the full story
Finance
“Whenever I think about hiring, I first try to do it in V7 Go.” Discover how HITICCO uses V7 Go agents to accelerate and enrich their prospect research.
Read the full story
Finance
The experience with V7 has been fantastic. Very customized level of support. You feel like they really care about your outcome and objectives.
Read the full story
Features
Features
Results you can actually trust.
Reliable AI document processing toolkit.
Results you can trust.
Trustworthy AI document processing toolkit.
Supporting complex documents.
Up to 200 pages.
Actuarial data lives in many formats. This agent handles financial statements, claims reports, policy schedules, regulatory filings, and legacy system exports. It extracts structured data regardless of document layout or source system.
Input types
Complex Tables
Multi-Year Data
200 pages
Legacy Formats
Document types
PDFs
Spreadsheets
Tables
Scanned Documents
Data Exports
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.
Up to 200 pages.
Actuarial data lives in many formats. This agent handles financial statements, claims reports, policy schedules, regulatory filings, and legacy system exports. It extracts structured data regardless of document layout or source system.
Input types
Complex Tables
Multi-Year Data
200 pages
Legacy Formats
Document types
PDFs
Spreadsheets
Tables
Scanned Documents
Data Exports
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.
Up to 200 pages.
Actuarial data lives in many formats. This agent handles financial statements, claims reports, policy schedules, regulatory filings, and legacy system exports. It extracts structured data regardless of document layout or source system.
Input types
Complex Tables
Multi-Year Data
200 pages
Legacy Formats
Document types
PDFs
Spreadsheets
Tables
Scanned Documents
Data Exports
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate
through GenAI reasoning.
Actuarial work demands precision. This agent uses multi-step validation to ensure mortality rates, claim counts, and policy data are extracted with exceptional accuracy, ready for modeling without manual correction.
Model providers

Security note
V7 never trains models on your private data. We keep your data encrypted and allow you to deploy your own models.
Answer
Type
Text
Tool
o4 Mini
Reasoning effort
Min
Low
Mid
High
AI Citations
Inputs
Set a prompt (Press @ to mention an input)
Reach 99% accuracy rate
through GenAI reasoning.
Actuarial work demands precision. This agent uses multi-step validation to ensure mortality rates, claim counts, and policy data are extracted with exceptional accuracy, ready for modeling without manual correction.
Model providers

Security note
V7 never trains models on your private data. We keep your data encrypted and allow you to deploy your own models.
Answer
Type
Text
Tool
o4 Mini
Reasoning effort
Min
Low
Mid
High
AI Citations
Inputs
Set a prompt (Press @ to mention an input)
Reach 99% accuracy rate
through GenAI reasoning.
Actuarial work demands precision. This agent uses multi-step validation to ensure mortality rates, claim counts, and policy data are extracted with exceptional accuracy, ready for modeling without manual correction.
Model providers

Security note
V7 never trains models on your private data. We keep your data encrypted and allow you to deploy your own models.
Answer
Type
Text
Tool
o4 Mini
Reasoning effort
Min
Low
Mid
High
AI Citations
Inputs
Set a prompt (Press @ to mention an input)
Trustworthy results,
grounded in reality.
Every extracted data point is visually linked back to its source document. This creates a complete audit trail for valuation support, regulatory review, and peer review—eliminating ambiguity about data origins.

Visual grounding in action
00:54
Deliberate Misrepresentation: During the trial, evidence was presented showing that John Doe deliberately misrepresented his income on multiple occasions over several years. This included falsifying documents, underreporting income, and inflating deductions to lower his tax liability. Such deliberate deception demonstrates intent to evade taxes.
Pattern of Behavior: The prosecution demonstrated a consistent pattern of behavior by John Doe, spanning several years, wherein he consistently failed to report substantial portions of his income. This pattern suggested a systematic attempt to evade taxes rather than mere oversight or misunderstanding.
Concealment of Assets: Forensic accounting revealed that John Doe had taken significant steps to conceal his assets offshore, including setting up shell companies and using complex financial structures to hide income from tax authorities. Such elaborate schemes indicate a deliberate effort to evade taxes and avoid detection.
Failure to Cooperate: Throughout the investigation and trial, John Doe displayed a lack of cooperation with tax authorities. He refused to provide requested documentation, obstructed the audit process, and failed to disclose relevant financial information. This obstructionism further supported the prosecution's argument of intentional tax evasion.
Prior Warning and Ignoring Compliance

02
01
01
02
Trustworthy results,
grounded in reality.
Every extracted data point is visually linked back to its source document. This creates a complete audit trail for valuation support, regulatory review, and peer review—eliminating ambiguity about data origins.

Visual grounding in action
00:54
Deliberate Misrepresentation: During the trial, evidence was presented showing that John Doe deliberately misrepresented his income on multiple occasions over several years. This included falsifying documents, underreporting income, and inflating deductions to lower his tax liability. Such deliberate deception demonstrates intent to evade taxes.
Pattern of Behavior: The prosecution demonstrated a consistent pattern of behavior by John Doe, spanning several years, wherein he consistently failed to report substantial portions of his income. This pattern suggested a systematic attempt to evade taxes rather than mere oversight or misunderstanding.
Concealment of Assets: Forensic accounting revealed that John Doe had taken significant steps to conceal his assets offshore, including setting up shell companies and using complex financial structures to hide income from tax authorities. Such elaborate schemes indicate a deliberate effort to evade taxes and avoid detection.
Failure to Cooperate: Throughout the investigation and trial, John Doe displayed a lack of cooperation with tax authorities. He refused to provide requested documentation, obstructed the audit process, and failed to disclose relevant financial information. This obstructionism further supported the prosecution's argument of intentional tax evasion.
Prior Warning and Ignoring Compliance

02
01
01
02
Trustworthy results,
grounded in reality.
Every extracted data point is visually linked back to its source document. This creates a complete audit trail for valuation support, regulatory review, and peer review—eliminating ambiguity about data origins.

Visual grounding in action
00:54
Deliberate Misrepresentation: During the trial, evidence was presented showing that John Doe deliberately misrepresented his income on multiple occasions over several years. This included falsifying documents, underreporting income, and inflating deductions to lower his tax liability. Such deliberate deception demonstrates intent to evade taxes.
Pattern of Behavior: The prosecution demonstrated a consistent pattern of behavior by John Doe, spanning several years, wherein he consistently failed to report substantial portions of his income. This pattern suggested a systematic attempt to evade taxes rather than mere oversight or misunderstanding.
Concealment of Assets: Forensic accounting revealed that John Doe had taken significant steps to conceal his assets offshore, including setting up shell companies and using complex financial structures to hide income from tax authorities. Such elaborate schemes indicate a deliberate effort to evade taxes and avoid detection.
Failure to Cooperate: Throughout the investigation and trial, John Doe displayed a lack of cooperation with tax authorities. He refused to provide requested documentation, obstructed the audit process, and failed to disclose relevant financial information. This obstructionism further supported the prosecution's argument of intentional tax evasion.
Prior Warning and Ignoring Compliance

02
01
01
02
Enterprise grade security
for high-stake industries.
Actuarial data includes sensitive policyholder and financial information. V7 Go processes all data within your secure environment with encryption and compliance controls for HIPAA, GLBA, and regulatory standards.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Actuarial data includes sensitive policyholder and financial information. V7 Go processes all data within your secure environment with encryption and compliance controls for HIPAA, GLBA, and regulatory standards.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Actuarial data includes sensitive policyholder and financial information. V7 Go processes all data within your secure environment with encryption and compliance controls for HIPAA, GLBA, and regulatory standards.
Certifications
GPDR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
More agents
More agents
Explore more agents to help you
Explore more agents to help you
accelerate your insurance and risk workflows
More agents
Answers
Answers
What you need to know about our
AI Actuarial Analysis Agent
How accurate is the data extraction for actuarial work?
The agent achieves high accuracy through multi-step validation workflows that cross-reference data across documents. Every extracted figure is visually linked to its source, allowing actuaries to verify critical assumptions before modeling.
+
How accurate is the data extraction for actuarial work?
The agent achieves high accuracy through multi-step validation workflows that cross-reference data across documents. Every extracted figure is visually linked to its source, allowing actuaries to verify critical assumptions before modeling.
+
How accurate is the data extraction for actuarial work?
The agent achieves high accuracy through multi-step validation workflows that cross-reference data across documents. Every extracted figure is visually linked to its source, allowing actuaries to verify critical assumptions before modeling.
+
Can it handle legacy systems and non-standard formats?
Yes. The agent processes PDFs, scanned documents, spreadsheets, and data exports from legacy systems. It adapts to varying document structures and formats common in insurance operations.
+
Can it handle legacy systems and non-standard formats?
Yes. The agent processes PDFs, scanned documents, spreadsheets, and data exports from legacy systems. It adapts to varying document structures and formats common in insurance operations.
+
Can it handle legacy systems and non-standard formats?
Yes. The agent processes PDFs, scanned documents, spreadsheets, and data exports from legacy systems. It adapts to varying document structures and formats common in insurance operations.
+
How does it handle confidential policyholder data?
V7 Go processes all data within your secure environment with enterprise-grade encryption. The platform adheres to HIPAA, GLBA, and other regulatory standards for sensitive insurance data.
+
How does it handle confidential policyholder data?
V7 Go processes all data within your secure environment with enterprise-grade encryption. The platform adheres to HIPAA, GLBA, and other regulatory standards for sensitive insurance data.
+
How does it handle confidential policyholder data?
V7 Go processes all data within your secure environment with enterprise-grade encryption. The platform adheres to HIPAA, GLBA, and other regulatory standards for sensitive insurance data.
+
What output formats does the agent provide?
The agent delivers structured outputs in JSON, CSV, or Excel formats. Data can be customized to populate your actuarial modeling software, valuation systems, or internal databases.
+
What output formats does the agent provide?
The agent delivers structured outputs in JSON, CSV, or Excel formats. Data can be customized to populate your actuarial modeling software, valuation systems, or internal databases.
+
What output formats does the agent provide?
The agent delivers structured outputs in JSON, CSV, or Excel formats. Data can be customized to populate your actuarial modeling software, valuation systems, or internal databases.
+
Can it extract data for different product lines simultaneously?
Absolutely. The agent processes multiple product lines, segments, and business units in parallel, consolidating results into a unified dataset for comparative analysis.
+
Can it extract data for different product lines simultaneously?
Absolutely. The agent processes multiple product lines, segments, and business units in parallel, consolidating results into a unified dataset for comparative analysis.
+
Can it extract data for different product lines simultaneously?
Absolutely. The agent processes multiple product lines, segments, and business units in parallel, consolidating results into a unified dataset for comparative analysis.
+
How does this compare to manual data entry?
Manual extraction is slow and error-prone. The agent completes in hours what takes actuaries weeks, with fewer transcription errors and complete source documentation for audit purposes.
+
How does this compare to manual data entry?
Manual extraction is slow and error-prone. The agent completes in hours what takes actuaries weeks, with fewer transcription errors and complete source documentation for audit purposes.
+
How does this compare to manual data entry?
Manual extraction is slow and error-prone. The agent completes in hours what takes actuaries weeks, with fewer transcription errors and complete source documentation for audit purposes.
+
Next steps
Next steps
Still manually extracting actuarial data?
Send us a sample financial statement or claims report. We'll show you how our agent extracts the data you need in hours, not weeks.
Uncover hidden liabilities
in
supplier contracts.
V7 Go transforms documents into strategic assets. 150+ enterprises are already on board:
Uncover hidden liabilities
in
supplier contracts.
V7 Go transforms documents into strategic assets. 150+ enterprises are already on board: