90% faster investigation
AI agent for General Liability Adjusters
From days of investigation to minutes
Delegate complex liability investigations to a specialized AI agent. It analyzes incident reports, witness statements, property records, and surveillance footage to extract evidence, identify contributing factors, and assess negligence, allowing your adjusters to focus on settlement strategy and customer service.

Ideal for
Claims Adjusters
Claims Examiners
Claims Managers

See AI agent for General Liability Adjusters in action
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See AI agent for General Liability Adjusters in action
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See AI agent for General Liability Adjusters in action
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Slip-and-Fall Investigation - Claim #GL-2024-8847
See AI agent for General Liability Adjusters in action
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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 Evidence Extraction
Pulls critical facts from incident reports, witness statements, police reports, and medical records to build a complete timeline of events and identify all parties involved.
Automated Evidence Extraction
Pulls critical facts from incident reports, witness statements, police reports, and medical records to build a complete timeline of events and identify all parties involved.
Automated Evidence Extraction
Pulls critical facts from incident reports, witness statements, police reports, and medical records to build a complete timeline of events and identify all parties involved.
Automated Evidence Extraction
Pulls critical facts from incident reports, witness statements, police reports, and medical records to build a complete timeline of events and identify all parties involved.
Negligence Pattern Recognition
Identifies contributing factors such as property maintenance failures, inadequate warnings, or code violations by cross-referencing incident details with property records and safety standards.
Negligence Pattern Recognition
Identifies contributing factors such as property maintenance failures, inadequate warnings, or code violations by cross-referencing incident details with property records and safety standards.
Negligence Pattern Recognition
Identifies contributing factors such as property maintenance failures, inadequate warnings, or code violations by cross-referencing incident details with property records and safety standards.
Negligence Pattern Recognition
Identifies contributing factors such as property maintenance failures, inadequate warnings, or code violations by cross-referencing incident details with property records and safety standards.
Comparative Fault Analysis
Evaluates claimant actions and property conditions to determine percentage of fault for each party, supporting accurate liability allocation in comparative negligence jurisdictions.
Comparative Fault Analysis
Evaluates claimant actions and property conditions to determine percentage of fault for each party, supporting accurate liability allocation in comparative negligence jurisdictions.
Comparative Fault Analysis
Evaluates claimant actions and property conditions to determine percentage of fault for each party, supporting accurate liability allocation in comparative negligence jurisdictions.
Comparative Fault Analysis
Evaluates claimant actions and property conditions to determine percentage of fault for each party, supporting accurate liability allocation in comparative negligence jurisdictions.
Surveillance Footage Analysis
Processes video evidence to extract timestamps, identify hazard visibility, and verify claimant statements, providing objective documentation of incident circumstances.
Surveillance Footage Analysis
Processes video evidence to extract timestamps, identify hazard visibility, and verify claimant statements, providing objective documentation of incident circumstances.
Surveillance Footage Analysis
Processes video evidence to extract timestamps, identify hazard visibility, and verify claimant statements, providing objective documentation of incident circumstances.
Surveillance Footage Analysis
Processes video evidence to extract timestamps, identify hazard visibility, and verify claimant statements, providing objective documentation of incident circumstances.
Prior Incident Correlation
Searches your claims database for similar incidents at the same location to identify patterns of negligence or recurring hazards that strengthen liability determinations.
Prior Incident Correlation
Searches your claims database for similar incidents at the same location to identify patterns of negligence or recurring hazards that strengthen liability determinations.
Prior Incident Correlation
Searches your claims database for similar incidents at the same location to identify patterns of negligence or recurring hazards that strengthen liability determinations.
Prior Incident Correlation
Searches your claims database for similar incidents at the same location to identify patterns of negligence or recurring hazards that strengthen liability determinations.
Cited Investigation Trail
Links every finding directly to source documents with AI Citations, creating a defensible investigation record that withstands legal scrutiny and supports settlement negotiations.
Cited Investigation Trail
Links every finding directly to source documents with AI Citations, creating a defensible investigation record that withstands legal scrutiny and supports settlement negotiations.
Cited Investigation Trail
Links every finding directly to source documents with AI Citations, creating a defensible investigation record that withstands legal scrutiny and supports settlement negotiations.
Cited Investigation Trail
Links every finding directly to source documents with AI Citations, creating a defensible investigation record that withstands legal scrutiny and supports settlement negotiations.
Analyzes all claim evidence
To deliver defensible liability determinations.
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 investigation protocols.
Connect AI to your investigation protocols.
Turn every liability claim into a defensible determination.
Turn every liability claim into a defensible determination.
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.
Liability claims involve diverse evidence formats. This agent handles handwritten witness statements, low-quality surveillance footage, scanned police reports, and complex property inspection documents to extract facts regardless of source quality or structure.
Input types
50+ languages
Handwritten
200 pages
Multi-modal
Document types
PDFs
Video Files
Photos
Diagrams
Scanned Forms
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.
Up to 200 pages.
Liability claims involve diverse evidence formats. This agent handles handwritten witness statements, low-quality surveillance footage, scanned police reports, and complex property inspection documents to extract facts regardless of source quality or structure.
Input types
50+ languages
Handwritten
200 pages
Multi-modal
Document types
PDFs
Video Files
Photos
Diagrams
Scanned Forms
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.
Up to 200 pages.
Liability claims involve diverse evidence formats. This agent handles handwritten witness statements, low-quality surveillance footage, scanned police reports, and complex property inspection documents to extract facts regardless of source quality or structure.
Input types
50+ languages
Handwritten
200 pages
Multi-modal
Document types
PDFs
Video Files
Photos
Diagrams
Scanned Forms
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate
through GenAI reasoning.
Liability determinations require precision. The agent uses multi-step reasoning to extract dates, identify parties, and assess fault with exceptional accuracy, ensuring your investigation findings withstand legal scrutiny and support confident settlement decisions.
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.
Liability determinations require precision. The agent uses multi-step reasoning to extract dates, identify parties, and assess fault with exceptional accuracy, ensuring your investigation findings withstand legal scrutiny and support confident settlement decisions.
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.
Liability determinations require precision. The agent uses multi-step reasoning to extract dates, identify parties, and assess fault with exceptional accuracy, ensuring your investigation findings withstand legal scrutiny and support confident settlement decisions.
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.
Build defensible investigation files. Every extracted fact, from incident timestamps to hazard descriptions, is visually linked to its source document, creating a complete audit trail that supports your liability determination and settlement authority.

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.
Build defensible investigation files. Every extracted fact, from incident timestamps to hazard descriptions, is visually linked to its source document, creating a complete audit trail that supports your liability determination and settlement authority.

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.
Build defensible investigation files. Every extracted fact, from incident timestamps to hazard descriptions, is visually linked to its source document, creating a complete audit trail that supports your liability determination and settlement authority.

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 sensitive medical records and personal information. V7 Go processes all investigation documents within your secure environment, ensuring HIPAA compliance and protecting claimant privacy throughout the liability assessment process.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Claim files contain sensitive medical records and personal information. V7 Go processes all investigation documents within your secure environment, ensuring HIPAA compliance and protecting claimant privacy throughout the liability assessment process.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Claim files contain sensitive medical records and personal information. V7 Go processes all investigation documents within your secure environment, ensuring HIPAA compliance and protecting claimant privacy throughout the liability assessment process.
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 General Liability Adjusters
How does the agent determine negligence?
The agent applies a multi-step analysis framework that examines duty of care, breach of duty, causation, and damages. It cross-references incident facts against property maintenance records, safety codes, and industry standards to identify failures in the duty of care that contributed to the injury.
+
How does the agent determine negligence?
The agent applies a multi-step analysis framework that examines duty of care, breach of duty, causation, and damages. It cross-references incident facts against property maintenance records, safety codes, and industry standards to identify failures in the duty of care that contributed to the injury.
+
How does the agent determine negligence?
The agent applies a multi-step analysis framework that examines duty of care, breach of duty, causation, and damages. It cross-references incident facts against property maintenance records, safety codes, and industry standards to identify failures in the duty of care that contributed to the injury.
+
Can it handle complex multi-party liability scenarios?
Yes. The agent tracks all involved parties including property owners, tenants, contractors, and claimants. It analyzes each party's actions and responsibilities to allocate fault percentages, supporting accurate subrogation and contribution claims.
+
Can it handle complex multi-party liability scenarios?
Yes. The agent tracks all involved parties including property owners, tenants, contractors, and claimants. It analyzes each party's actions and responsibilities to allocate fault percentages, supporting accurate subrogation and contribution claims.
+
Can it handle complex multi-party liability scenarios?
Yes. The agent tracks all involved parties including property owners, tenants, contractors, and claimants. It analyzes each party's actions and responsibilities to allocate fault percentages, supporting accurate subrogation and contribution claims.
+
How does it use our claims guidelines?
The agent connects to your Knowledge Hub containing internal investigation protocols, coverage guidelines, and settlement authority matrices. This ensures every investigation follows your specific procedures and flags claims requiring special handling or management review.
+
How does it use our claims guidelines?
The agent connects to your Knowledge Hub containing internal investigation protocols, coverage guidelines, and settlement authority matrices. This ensures every investigation follows your specific procedures and flags claims requiring special handling or management review.
+
How does it use our claims guidelines?
The agent connects to your Knowledge Hub containing internal investigation protocols, coverage guidelines, and settlement authority matrices. This ensures every investigation follows your specific procedures and flags claims requiring special handling or management review.
+
What types of evidence can it analyze?
The agent processes incident reports, witness statements, police reports, medical records, property inspection reports, maintenance logs, surveillance footage, photographs, building codes, and prior claim histories to build comprehensive liability assessments.
+
What types of evidence can it analyze?
The agent processes incident reports, witness statements, police reports, medical records, property inspection reports, maintenance logs, surveillance footage, photographs, building codes, and prior claim histories to build comprehensive liability assessments.
+
What types of evidence can it analyze?
The agent processes incident reports, witness statements, police reports, medical records, property inspection reports, maintenance logs, surveillance footage, photographs, building codes, and prior claim histories to build comprehensive liability assessments.
+
How does it handle conflicting witness accounts?
The agent identifies inconsistencies between witness statements and flags contradictions for adjuster review. It cross-references testimonies against objective evidence like surveillance footage and physical evidence to assess credibility and determine the most reliable account.
+
How does it handle conflicting witness accounts?
The agent identifies inconsistencies between witness statements and flags contradictions for adjuster review. It cross-references testimonies against objective evidence like surveillance footage and physical evidence to assess credibility and determine the most reliable account.
+
How does it handle conflicting witness accounts?
The agent identifies inconsistencies between witness statements and flags contradictions for adjuster review. It cross-references testimonies against objective evidence like surveillance footage and physical evidence to assess credibility and determine the most reliable account.
+
What is the final investigation output?
The agent delivers a structured liability assessment report containing incident timeline, party identification, negligence analysis, fault allocation, coverage determination, and reserve recommendations. All findings are cited to source documents for audit trail integrity.
+
What is the final investigation output?
The agent delivers a structured liability assessment report containing incident timeline, party identification, negligence analysis, fault allocation, coverage determination, and reserve recommendations. All findings are cited to source documents for audit trail integrity.
+
What is the final investigation output?
The agent delivers a structured liability assessment report containing incident timeline, party identification, negligence analysis, fault allocation, coverage determination, and reserve recommendations. All findings are cited to source documents for audit trail integrity.
+
Next steps
Next steps
Still spending days investigating slip-and-fall claims?
Send us a sample liability claim file, and we'll show you how our AI agent delivers a complete investigation report in minutes instead of days.
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:
