3x more recoveries identified
AI agent for Subrogation Specialists
Find the recovery opportunities hiding in your closed files
Delegate the exhaustive task of subrogation file review to a specialized AI agent. It systematically analyzes closed claim files, identifies third-party liability indicators, flags documentation gaps, and surfaces viable recovery opportunities that manual review processes miss.
Ideal for
Subrogation Teams
Claims Recovery
Special Investigations
See AI agent for Subrogation Specialists in action
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See AI agent for Subrogation Specialists in action
Play video
See AI agent for Subrogation Specialists in action
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Q4 Closed Files Review
See AI agent for Subrogation Specialists in action
Play video
Time comparison
Time comparison
Traditional way
3-4 weeks per 1,000 files
With V7 Go agents
2-3 hours
Average time saved
98%
Why V7 Go
Why V7 Go
Third-Party Liability Detection
Automatically identifies indicators of third-party fault in closed files, including police reports mentioning other drivers, witness statements, property damage patterns, and liability admissions buried in adjuster notes.
Third-Party Liability Detection
Automatically identifies indicators of third-party fault in closed files, including police reports mentioning other drivers, witness statements, property damage patterns, and liability admissions buried in adjuster notes.
Third-Party Liability Detection
Automatically identifies indicators of third-party fault in closed files, including police reports mentioning other drivers, witness statements, property damage patterns, and liability admissions buried in adjuster notes.
Third-Party Liability Detection
Automatically identifies indicators of third-party fault in closed files, including police reports mentioning other drivers, witness statements, property damage patterns, and liability admissions buried in adjuster notes.
Multi-Party Claim Analysis
Analyzes complex claims involving multiple parties to determine contribution percentages, identify all potentially liable entities, and flag cases where partial recovery may be viable even if full subrogation was deemed uneconomical.
Multi-Party Claim Analysis
Analyzes complex claims involving multiple parties to determine contribution percentages, identify all potentially liable entities, and flag cases where partial recovery may be viable even if full subrogation was deemed uneconomical.
Multi-Party Claim Analysis
Analyzes complex claims involving multiple parties to determine contribution percentages, identify all potentially liable entities, and flag cases where partial recovery may be viable even if full subrogation was deemed uneconomical.
Multi-Party Claim Analysis
Analyzes complex claims involving multiple parties to determine contribution percentages, identify all potentially liable entities, and flag cases where partial recovery may be viable even if full subrogation was deemed uneconomical.
Documentation Gap Identification
Flags files with incomplete evidence that could support subrogation if additional documentation were obtained, such as missing police reports, unsigned releases, or incomplete repair estimates that undervalue damages.
Documentation Gap Identification
Flags files with incomplete evidence that could support subrogation if additional documentation were obtained, such as missing police reports, unsigned releases, or incomplete repair estimates that undervalue damages.
Documentation Gap Identification
Flags files with incomplete evidence that could support subrogation if additional documentation were obtained, such as missing police reports, unsigned releases, or incomplete repair estimates that undervalue damages.
Documentation Gap Identification
Flags files with incomplete evidence that could support subrogation if additional documentation were obtained, such as missing police reports, unsigned releases, or incomplete repair estimates that undervalue damages.
Statute of Limitations Tracking
Calculates remaining time before statute of limitations expires for each identified opportunity, prioritizing cases that require immediate action and preventing time-barred claims from consuming resources.
Statute of Limitations Tracking
Calculates remaining time before statute of limitations expires for each identified opportunity, prioritizing cases that require immediate action and preventing time-barred claims from consuming resources.
Statute of Limitations Tracking
Calculates remaining time before statute of limitations expires for each identified opportunity, prioritizing cases that require immediate action and preventing time-barred claims from consuming resources.
Statute of Limitations Tracking
Calculates remaining time before statute of limitations expires for each identified opportunity, prioritizing cases that require immediate action and preventing time-barred claims from consuming resources.
Recovery Value Estimation
Estimates potential recovery amounts based on paid damages, deductibles, comparative negligence factors, and historical recovery rates for similar claim types, enabling cost-benefit analysis before pursuing subrogation.
Recovery Value Estimation
Estimates potential recovery amounts based on paid damages, deductibles, comparative negligence factors, and historical recovery rates for similar claim types, enabling cost-benefit analysis before pursuing subrogation.
Recovery Value Estimation
Estimates potential recovery amounts based on paid damages, deductibles, comparative negligence factors, and historical recovery rates for similar claim types, enabling cost-benefit analysis before pursuing subrogation.
Recovery Value Estimation
Estimates potential recovery amounts based on paid damages, deductibles, comparative negligence factors, and historical recovery rates for similar claim types, enabling cost-benefit analysis before pursuing subrogation.
Pattern Recognition Across Portfolio
Identifies systemic patterns in missed subrogation opportunities, such as specific adjusters consistently overlooking third-party liability or certain claim types being closed prematurely, enabling process improvements and targeted training.
Pattern Recognition Across Portfolio
Identifies systemic patterns in missed subrogation opportunities, such as specific adjusters consistently overlooking third-party liability or certain claim types being closed prematurely, enabling process improvements and targeted training.
Pattern Recognition Across Portfolio
Identifies systemic patterns in missed subrogation opportunities, such as specific adjusters consistently overlooking third-party liability or certain claim types being closed prematurely, enabling process improvements and targeted training.
Pattern Recognition Across Portfolio
Identifies systemic patterns in missed subrogation opportunities, such as specific adjusters consistently overlooking third-party liability or certain claim types being closed prematurely, enabling process improvements and targeted training.
Analyzes every document in closed claim files
To uncover hidden recovery opportunities.
Get started
Get started
Import your files
Salesforce
,
Microsoft Sharepoint Online
,
Google Drive
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 closed claim files.
Connect AI to your closed claim files.
Turn missed opportunities into recovered revenue.
Turn missed opportunities into recovered revenue.
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 documents.
Up to 200 pages.
Claim files contain diverse document types in varying formats. This agent processes everything from handwritten adjuster notes and scanned police reports to digital medical records and photographic evidence, extracting liability indicators regardless of document structure or quality.
Input types
50+ languages
Handwritten Notes
200 pages
Multi-modal
Document types
PDFs
Scanned Reports
Photos
Medical Charts
Claim Forms
Vendor_US.xlsx
3
Supply_2023.pptx
Review_Legal.pdf
Supporting complex documents.
Up to 200 pages.
Claim files contain diverse document types in varying formats. This agent processes everything from handwritten adjuster notes and scanned police reports to digital medical records and photographic evidence, extracting liability indicators regardless of document structure or quality.
Input types
50+ languages
Handwritten Notes
200 pages
Multi-modal
Document types
PDFs
Scanned Reports
Photos
Medical Charts
Claim Forms
Vendor_US.xlsx
3
Supply_2023.pptx
Review_Legal.pdf
Supporting complex documents.
Up to 200 pages.
Claim files contain diverse document types in varying formats. This agent processes everything from handwritten adjuster notes and scanned police reports to digital medical records and photographic evidence, extracting liability indicators regardless of document structure or quality.
Input types
50+ languages
Handwritten Notes
200 pages
Multi-modal
Document types
PDFs
Scanned Reports
Photos
Medical Charts
Claim Forms
Vendor_US.xlsx
3
Supply_2023.pptx
Review_Legal.pdf
Reach 99% accuracy rate
through GenAI reasoning.
Subrogation decisions require precision. The agent uses sophisticated reasoning to distinguish between genuine third-party liability and contributory negligence, accurately assess recovery potential, and avoid false positives that waste investigative resources on unviable claims.
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.
Subrogation decisions require precision. The agent uses sophisticated reasoning to distinguish between genuine third-party liability and contributory negligence, accurately assess recovery potential, and avoid false positives that waste investigative resources on unviable claims.
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.
Subrogation decisions require precision. The agent uses sophisticated reasoning to distinguish between genuine third-party liability and contributory negligence, accurately assess recovery potential, and avoid false positives that waste investigative resources on unviable claims.
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 recovery recommendation is backed by verifiable evidence. The agent provides AI Citations linking each liability finding to specific passages in police reports, witness statements, or adjuster notes, allowing subrogation specialists to quickly validate the opportunity before committing resources.
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
![](data:image/svg+xml,<svg display="block" role="presentation" viewBox="0 0 198 15" xmlns="http://www.w3.org/2000/svg"><defs ><clipPath id="J0QEw1Ctk-2037569988-stroke"><use href="%23J0QEw1Ctk-2037569988"/></clipPath><path d="M 0 1 C 0 0.448 0.448 0 1 0 L 197 0 C 197.552 0 198 0.448 198 1 L 198 9 C 198 9.552 197.552 10 197 10 L 76 10 L 76 14 C 76 14.552 75.552 15 75 15 L 1 15 C 0.448 15 0 14.552 0 14 Z" id="J0QEw1Ctk-2037569988"/></defs><use fill="rgba(124, 58, 237, 0.1)" height="15px" href="%23J0QEw1Ctk-2037569988" id="J0QEw1Ctk" width="198px"/><use clip-path="url(%23J0QEw1Ctk-2037569988-stroke)" fill="transparent" href="%23J0QEw1Ctk-2037569988" stroke-dasharray="0" stroke-linecap="butt" stroke-linejoin="miter" stroke-miterlimit="4" stroke-width="1" stroke="rgb(124, 58, 237)"/></svg>)
02
01
01
02
Trustworthy results,
grounded in reality.
Every recovery recommendation is backed by verifiable evidence. The agent provides AI Citations linking each liability finding to specific passages in police reports, witness statements, or adjuster notes, allowing subrogation specialists to quickly validate the opportunity before committing resources.
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 recovery recommendation is backed by verifiable evidence. The agent provides AI Citations linking each liability finding to specific passages in police reports, witness statements, or adjuster notes, allowing subrogation specialists to quickly validate the opportunity before committing resources.
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.
Claim files contain highly sensitive personal and medical information. V7 Go processes all data within your secure environment, maintaining HIPAA compliance and ensuring that confidential claim details never leave your infrastructure or train external models.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Claim files contain highly sensitive personal and medical information. V7 Go processes all data within your secure environment, maintaining HIPAA compliance and ensuring that confidential claim details never leave your infrastructure or train external models.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Claim files contain highly sensitive personal and medical information. V7 Go processes all data within your secure environment, maintaining HIPAA compliance and ensuring that confidential claim details never leave your infrastructure or train external models.
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 agent for Subrogation Specialists
How does the agent identify third-party liability in closed files?
The agent uses multi-step analysis to detect liability indicators. It reads police reports for fault determinations, analyzes witness statements for admissions, examines property damage patterns consistent with third-party causation, and cross-references adjuster notes for overlooked liability mentions. Each indicator is weighted and combined to produce a recovery viability score.
+
How does the agent identify third-party liability in closed files?
The agent uses multi-step analysis to detect liability indicators. It reads police reports for fault determinations, analyzes witness statements for admissions, examines property damage patterns consistent with third-party causation, and cross-references adjuster notes for overlooked liability mentions. Each indicator is weighted and combined to produce a recovery viability score.
+
How does the agent identify third-party liability in closed files?
The agent uses multi-step analysis to detect liability indicators. It reads police reports for fault determinations, analyzes witness statements for admissions, examines property damage patterns consistent with third-party causation, and cross-references adjuster notes for overlooked liability mentions. Each indicator is weighted and combined to produce a recovery viability score.
+
Can it analyze files that were closed years ago?
Yes. The agent processes files regardless of closure date, though it automatically flags cases where the statute of limitations has expired or is approaching. For older files, it focuses on identifying patterns that can improve current subrogation processes rather than pursuing time-barred recoveries.
+
Can it analyze files that were closed years ago?
Yes. The agent processes files regardless of closure date, though it automatically flags cases where the statute of limitations has expired or is approaching. For older files, it focuses on identifying patterns that can improve current subrogation processes rather than pursuing time-barred recoveries.
+
Can it analyze files that were closed years ago?
Yes. The agent processes files regardless of closure date, though it automatically flags cases where the statute of limitations has expired or is approaching. For older files, it focuses on identifying patterns that can improve current subrogation processes rather than pursuing time-barred recoveries.
+
What types of claims does it analyze for subrogation potential?
The agent handles all claim types where third-party recovery is possible, including auto liability, property damage, workers compensation, product liability, and medical payments. It adapts its analysis criteria based on claim type, applying relevant legal standards and recovery precedents for each line of business.
+
What types of claims does it analyze for subrogation potential?
The agent handles all claim types where third-party recovery is possible, including auto liability, property damage, workers compensation, product liability, and medical payments. It adapts its analysis criteria based on claim type, applying relevant legal standards and recovery precedents for each line of business.
+
What types of claims does it analyze for subrogation potential?
The agent handles all claim types where third-party recovery is possible, including auto liability, property damage, workers compensation, product liability, and medical payments. It adapts its analysis criteria based on claim type, applying relevant legal standards and recovery precedents for each line of business.
+
How does it prioritize which opportunities to pursue?
The agent scores each opportunity based on multiple factors: strength of liability evidence, estimated recovery amount, time remaining before statute of limitations, cost to pursue, and historical success rates for similar claims. This produces a ranked list that allows subrogation teams to focus resources on the highest-value, most viable cases first.
+
How does it prioritize which opportunities to pursue?
The agent scores each opportunity based on multiple factors: strength of liability evidence, estimated recovery amount, time remaining before statute of limitations, cost to pursue, and historical success rates for similar claims. This produces a ranked list that allows subrogation teams to focus resources on the highest-value, most viable cases first.
+
How does it prioritize which opportunities to pursue?
The agent scores each opportunity based on multiple factors: strength of liability evidence, estimated recovery amount, time remaining before statute of limitations, cost to pursue, and historical success rates for similar claims. This produces a ranked list that allows subrogation teams to focus resources on the highest-value, most viable cases first.
+
Does it integrate with our claims management system?
Yes. V7 Go connects to major claims platforms to automatically pull closed file data for analysis. The agent can also write findings back to your system, creating subrogation referrals, updating claim notes, and triggering workflow assignments for identified opportunities, eliminating manual data transfer.
+
Does it integrate with our claims management system?
Yes. V7 Go connects to major claims platforms to automatically pull closed file data for analysis. The agent can also write findings back to your system, creating subrogation referrals, updating claim notes, and triggering workflow assignments for identified opportunities, eliminating manual data transfer.
+
Does it integrate with our claims management system?
Yes. V7 Go connects to major claims platforms to automatically pull closed file data for analysis. The agent can also write findings back to your system, creating subrogation referrals, updating claim notes, and triggering workflow assignments for identified opportunities, eliminating manual data transfer.
+
How are the findings verified before pursuing recovery?
Every identified opportunity includes AI Citations linking back to the specific documents and passages that support the recovery recommendation. Subrogation specialists can quickly verify the agent's reasoning by reviewing the cited evidence, ensuring that only well-supported cases are pursued and reducing wasted effort on weak claims.
+
How are the findings verified before pursuing recovery?
Every identified opportunity includes AI Citations linking back to the specific documents and passages that support the recovery recommendation. Subrogation specialists can quickly verify the agent's reasoning by reviewing the cited evidence, ensuring that only well-supported cases are pursued and reducing wasted effort on weak claims.
+
How are the findings verified before pursuing recovery?
Every identified opportunity includes AI Citations linking back to the specific documents and passages that support the recovery recommendation. Subrogation specialists can quickly verify the agent's reasoning by reviewing the cited evidence, ensuring that only well-supported cases are pursued and reducing wasted effort on weak claims.
+
Next steps
Next steps
How much subrogation revenue are you leaving unclaimed?
Send us a sample of your closed claim files, and we'll show you exactly which recovery opportunities your team is missing.
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: