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

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See AI agent for General Liability Adjusters in action

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  • Mercedes-Benz logo
    SMC  logo
    Gradient rectangle
    Centerline logo
    Abstract graphic with black and white elements
    Abstract pattern with overlapping shapes.
    Alaris logo
    Progress bar with text at bottom percentage
    SITO logo
    Diagonal stripes on a rectangular background
    SVG logo for Reddit
    Grey and black abstract symbol
    Foobar logo
    ABL logo
    SVG logo for Google
    Bar chart with two bars of different heights
    Brotherhood Mutual logo
    Black and white abstract graphic.
    Paige logo
    Roche logo
    Logo with abstract shapes and text.
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
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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

  • Mercedes-Benz logo
    SMC  logo
    Gradient rectangle
    Centerline logo
    Abstract graphic with black and white elements
    Abstract pattern with overlapping shapes.
    Alaris logo
    Progress bar with text at bottom percentage
    SITO logo
    Diagonal stripes on a rectangular background
    SVG logo for Reddit
    Grey and black abstract symbol
    Foobar logo
    ABL logo
    SVG logo for Google
    Bar chart with two bars of different heights
    Brotherhood Mutual logo
    Black and white abstract graphic.
    Paige logo
    Roche logo
    Logo with abstract shapes and text.
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Light gray waveform pattern on white background
    SVG logo with black letters
    Abstract pattern with blue and green colors

See AI agent for General Liability Adjusters in action

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Time comparison

Traditional way

3-5 days

With V7 Go agents

15-30 minutes

Average time saved

90%

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.

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.

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.

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

Logo
Logo

Import your files

Salesforce

,

Microsoft Sharepoint Online

,

Google Drive

Import your files from whereever they are currently stored

Customer voices

Customer voices

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

Customer Voices

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

12

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

12

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

OpenAI, Anthropic, Gemini logos

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

OpenAI, Anthropic, Gemini logos

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

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

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.

+

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.

+

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.

+

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

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:

  • Logo with abstract shapes and text.
    SITO logo
    Abstract pattern with blue and green colors
    SVG logo for Google
    Progress bar with text at bottom percentage
    Bar chart with two bars of different heights
    Gradient rectangle
    Diagonal stripes on a rectangular background
    Abstract pattern with overlapping shapes.
    SVG logo for Reddit

Uncover hidden liabilities

in

supplier contracts.

V7 Go transforms documents into strategic assets. 150+ enterprises are already on board:

  • Logo with abstract shapes and text.
    SITO logo
    Abstract pattern with blue and green colors
    SVG logo for Google
    Progress bar with text at bottom percentage
    Bar chart with two bars of different heights
    Gradient rectangle
    Diagonal stripes on a rectangular background
    Abstract pattern with overlapping shapes.
    SVG logo for Reddit