90% faster analysis
AI Pension Liability Analyst Agent
From manual tracking to real-time insights
Delegate pension liability analysis to a specialized AI agent. It tracks funding status by comparing asset performance against actuarial liability tables, identifies funding gaps, and surfaces LDI opportunities, allowing your team to focus on strategic portfolio decisions.

Ideal for
Pension Fund Managers
LDI Specialists
Institutional Investors

See AI Pension Liability Analyst Agent in action
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See AI Pension Liability Analyst Agent in action
Play video

See AI Pension Liability Analyst Agent in action
Play video

Quarterly Funding Status Review
See AI Pension Liability Analyst Agent in action
Play video
Time comparison
Time comparison
Traditional way
3-5 days
With V7 Go agents
15-30 minutes
Average time saved
90%
Why V7 Go
Why V7 Go
Automated Funding Status Calculation
Instantly compares asset values against actuarial liability tables to calculate precise funding ratios, eliminating manual spreadsheet errors and delays.
Automated Funding Status Calculation
Instantly compares asset values against actuarial liability tables to calculate precise funding ratios, eliminating manual spreadsheet errors and delays.
Automated Funding Status Calculation
Instantly compares asset values against actuarial liability tables to calculate precise funding ratios, eliminating manual spreadsheet errors and delays.
Automated Funding Status Calculation
Instantly compares asset values against actuarial liability tables to calculate precise funding ratios, eliminating manual spreadsheet errors and delays.
Duration and Convexity Analysis
Identifies duration mismatches between assets and liabilities, surfacing opportunities to optimize your LDI portfolio positioning.
Duration and Convexity Analysis
Identifies duration mismatches between assets and liabilities, surfacing opportunities to optimize your LDI portfolio positioning.
Duration and Convexity Analysis
Identifies duration mismatches between assets and liabilities, surfacing opportunities to optimize your LDI portfolio positioning.
Duration and Convexity Analysis
Identifies duration mismatches between assets and liabilities, surfacing opportunities to optimize your LDI portfolio positioning.
Liability Projection Modeling
Projects future liability growth based on demographic assumptions and discount rate changes, enabling proactive funding strategy adjustments.
Liability Projection Modeling
Projects future liability growth based on demographic assumptions and discount rate changes, enabling proactive funding strategy adjustments.
Liability Projection Modeling
Projects future liability growth based on demographic assumptions and discount rate changes, enabling proactive funding strategy adjustments.
Liability Projection Modeling
Projects future liability growth based on demographic assumptions and discount rate changes, enabling proactive funding strategy adjustments.
Multi-Source Data Integration
Consolidates asset data from custodians, actuarial reports, and internal systems into a unified analysis, reducing reconciliation overhead.
Multi-Source Data Integration
Consolidates asset data from custodians, actuarial reports, and internal systems into a unified analysis, reducing reconciliation overhead.
Multi-Source Data Integration
Consolidates asset data from custodians, actuarial reports, and internal systems into a unified analysis, reducing reconciliation overhead.
Multi-Source Data Integration
Consolidates asset data from custodians, actuarial reports, and internal systems into a unified analysis, reducing reconciliation overhead.
Scenario and Sensitivity Testing
Automatically runs interest rate, inflation, and return scenarios to stress-test your funding position and validate hedging strategies.
Scenario and Sensitivity Testing
Automatically runs interest rate, inflation, and return scenarios to stress-test your funding position and validate hedging strategies.
Scenario and Sensitivity Testing
Automatically runs interest rate, inflation, and return scenarios to stress-test your funding position and validate hedging strategies.
Scenario and Sensitivity Testing
Automatically runs interest rate, inflation, and return scenarios to stress-test your funding position and validate hedging strategies.
Auditable Analysis Trail
Every calculation is traced back to source data with full documentation, creating a defensible record for auditors and regulators.
Auditable Analysis Trail
Every calculation is traced back to source data with full documentation, creating a defensible record for auditors and regulators.
Auditable Analysis Trail
Every calculation is traced back to source data with full documentation, creating a defensible record for auditors and regulators.
Auditable Analysis Trail
Every calculation is traced back to source data with full documentation, creating a defensible record for auditors and regulators.
Analyzes pension funding from multiple data sources
To deliver comprehensive liability-driven investment insights.
Get started
Get started



Import your files
Snowflake
,
Microsoft Excel
,
Tableau
Import your files from whereever they are currently stored
All types of Finance documents supported
Once imported our system extracts and organises the essentials
Customer voices
Customer voices
Connect AI to your pension strategy.
Connect AI to your pension strategy.
Join leading institutional investors automating liability analysis.
Join leading institutional investors automating liability analysis.
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Customer Voices
Industrial equipment sales
We are looking for V7 Go and AI in general to be the beating heart of our company and our growth. It will make us more productive as a company, liaising with customers, automating tasks, even finding new work.
Read the full story
Industrial equipment sales
We are looking for V7 Go and AI in general to be the beating heart of our company and our growth. It will make us more productive as a company, liaising with customers, automating tasks, even finding new work.
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
We are looking for V7 Go and AI in general to be the beating heart of our company and our growth. It will make us more productive as a company, liaising with customers, automating tasks, even finding new work.
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 financial data.
From multiple sources.
Pension data comes from diverse sources: custodian statements, actuarial reports, internal spreadsheets, and accounting systems. This agent consolidates all formats into a unified analysis, handling inconsistent data structures and legacy systems seamlessly.
Input types
Multi-source integration
Legacy systems
Complex tables
Real-time feeds
Document types
PDFs
Spreadsheets
Tables
API feeds
Database exports
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex financial data.
From multiple sources.
Pension data comes from diverse sources: custodian statements, actuarial reports, internal spreadsheets, and accounting systems. This agent consolidates all formats into a unified analysis, handling inconsistent data structures and legacy systems seamlessly.
Input types
Multi-source integration
Legacy systems
Complex tables
Real-time feeds
Document types
PDFs
Spreadsheets
Tables
API feeds
Database exports
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex financial data.
From multiple sources.
Pension data comes from diverse sources: custodian statements, actuarial reports, internal spreadsheets, and accounting systems. This agent consolidates all formats into a unified analysis, handling inconsistent data structures and legacy systems seamlessly.
Input types
Multi-source integration
Legacy systems
Complex tables
Real-time feeds
Document types
PDFs
Spreadsheets
Tables
API feeds
Database exports
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate
through rigorous financial analysis.
Pension liability calculations demand precision. This agent uses multi-step validation workflows to ensure every funding ratio, liability projection, and duration calculation is accurate and audit-ready, eliminating the risk of costly errors.
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 rigorous financial analysis.
Pension liability calculations demand precision. This agent uses multi-step validation workflows to ensure every funding ratio, liability projection, and duration calculation is accurate and audit-ready, eliminating the risk of costly errors.
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 rigorous financial analysis.
Pension liability calculations demand precision. This agent uses multi-step validation workflows to ensure every funding ratio, liability projection, and duration calculation is accurate and audit-ready, eliminating the risk of costly errors.
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 source data.
Every funding calculation is traced back to its source data with complete documentation. This creates a defensible audit trail that satisfies regulators and auditors while giving your team confidence in every decision.

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 source data.
Every funding calculation is traced back to its source data with complete documentation. This creates a defensible audit trail that satisfies regulators and auditors while giving your team confidence in every decision.

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 source data.
Every funding calculation is traced back to its source data with complete documentation. This creates a defensible audit trail that satisfies regulators and auditors while giving your team confidence in every decision.

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 institutional investors.
Pension data is highly sensitive and subject to strict regulatory oversight. V7 Go processes all fund information within your secure environment, adhering to institutional-grade security standards and data privacy requirements.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for institutional investors.
Pension data is highly sensitive and subject to strict regulatory oversight. V7 Go processes all fund information within your secure environment, adhering to institutional-grade security standards and data privacy requirements.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for institutional investors.
Pension data is highly sensitive and subject to strict regulatory oversight. V7 Go processes all fund information within your secure environment, adhering to institutional-grade security standards and data privacy requirements.
Certifications
GPDR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
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Answers
Answers
What you need to know about our
AI Pension Liability Analyst Agent
How does the agent handle different actuarial methodologies?
The agent is configured to work with your specific actuarial assumptions, discount rate methodology, and liability calculation approach. It adapts to PBO, ABO, or custom liability definitions your plan uses.
+
How does the agent handle different actuarial methodologies?
The agent is configured to work with your specific actuarial assumptions, discount rate methodology, and liability calculation approach. It adapts to PBO, ABO, or custom liability definitions your plan uses.
+
How does the agent handle different actuarial methodologies?
The agent is configured to work with your specific actuarial assumptions, discount rate methodology, and liability calculation approach. It adapts to PBO, ABO, or custom liability definitions your plan uses.
+
Can it integrate with our custodian data feeds?
Yes. The agent connects to major custodian platforms and can ingest asset data directly from your existing systems, eliminating manual data entry and ensuring real-time accuracy.
+
Can it integrate with our custodian data feeds?
Yes. The agent connects to major custodian platforms and can ingest asset data directly from your existing systems, eliminating manual data entry and ensuring real-time accuracy.
+
Can it integrate with our custodian data feeds?
Yes. The agent connects to major custodian platforms and can ingest asset data directly from your existing systems, eliminating manual data entry and ensuring real-time accuracy.
+
How frequently can we run funding status updates?
The agent can run analysis daily, weekly, or on any custom schedule. This enables real-time monitoring of funding status and immediate identification of significant market-driven changes.
+
How frequently can we run funding status updates?
The agent can run analysis daily, weekly, or on any custom schedule. This enables real-time monitoring of funding status and immediate identification of significant market-driven changes.
+
How frequently can we run funding status updates?
The agent can run analysis daily, weekly, or on any custom schedule. This enables real-time monitoring of funding status and immediate identification of significant market-driven changes.
+
Does it support multiple plan structures?
Absolutely. The agent handles single-plan analysis, multi-plan consolidation, and cross-plan comparisons, making it suitable for sponsors managing multiple defined benefit plans.
+
Does it support multiple plan structures?
Absolutely. The agent handles single-plan analysis, multi-plan consolidation, and cross-plan comparisons, making it suitable for sponsors managing multiple defined benefit plans.
+
Does it support multiple plan structures?
Absolutely. The agent handles single-plan analysis, multi-plan consolidation, and cross-plan comparisons, making it suitable for sponsors managing multiple defined benefit plans.
+
How does it handle liability assumption changes?
When actuarial assumptions change, you update the agent's configuration with new discount rates, mortality tables, or demographic assumptions. It immediately recalculates funding status using the new parameters.
+
How does it handle liability assumption changes?
When actuarial assumptions change, you update the agent's configuration with new discount rates, mortality tables, or demographic assumptions. It immediately recalculates funding status using the new parameters.
+
How does it handle liability assumption changes?
When actuarial assumptions change, you update the agent's configuration with new discount rates, mortality tables, or demographic assumptions. It immediately recalculates funding status using the new parameters.
+
Is the analysis compliant with accounting standards?
Yes. The agent's calculations align with ASC 715 (pension accounting) and GASB standards, ensuring your analysis is audit-ready and compliant with financial reporting requirements.
+
Is the analysis compliant with accounting standards?
Yes. The agent's calculations align with ASC 715 (pension accounting) and GASB standards, ensuring your analysis is audit-ready and compliant with financial reporting requirements.
+
Is the analysis compliant with accounting standards?
Yes. The agent's calculations align with ASC 715 (pension accounting) and GASB standards, ensuring your analysis is audit-ready and compliant with financial reporting requirements.
+
Next steps
Next steps
Still reconciling pension data manually?
Send us your latest fund data and actuarial assumptions. We'll show you how to get real-time funding status analysis in minutes.
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:
