Reduce cycle time by 40%

Insurance Claims Automation Agent

Process claims from FNOL to finish

Delegate your claims intake and data entry to a specialized AI agent. It reads entire submission packets—including claim forms, police reports, photos, and invoices—to extract, validate, and structure all the data needed to set up a new claim.

Ideal for

Claims Adjusters

TPAs

Claims Operations

  • Mercedes-Benz logo
    SMC  logo
    Mercedes-Benz logo
    Centerline logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Alaris logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo

See Insurance Claims Automation Agent in action

Play video

  • Mercedes-Benz logo
    SMC  logo
    Mercedes-Benz logo
    Centerline logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Alaris logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo

See Insurance Claims Automation Agent in action

Play video

  • Mercedes-Benz logo
    SMC  logo
    Mercedes-Benz logo
    Centerline logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Alaris logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo

See Insurance Claims Automation Agent in action

Play video

New Auto Claim Submission

  • Mercedes-Benz logo
    SMC  logo
    Mercedes-Benz logo
    Centerline logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Alaris logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo

See Insurance Claims Automation Agent in action

Play video

Time comparison

Time comparison

Traditional way

30-60 minutes per claim

30-60 minutes per claim

With V7 Go agents

2-3 minutes

2-3 minutes

Average time saved

95%

95%

Why V7 Go

Why V7 Go

Automated FNOL Intake

Monitors dedicated inboxes or portals for First Notice of Loss (FNOL) submissions, automatically extracting the initial claim data to begin the process in seconds.

Automated FNOL Intake

Monitors dedicated inboxes or portals for First Notice of Loss (FNOL) submissions, automatically extracting the initial claim data to begin the process in seconds.

Automated FNOL Intake

Monitors dedicated inboxes or portals for First Notice of Loss (FNOL) submissions, automatically extracting the initial claim data to begin the process in seconds.

Automated FNOL Intake

Monitors dedicated inboxes or portals for First Notice of Loss (FNOL) submissions, automatically extracting the initial claim data to begin the process in seconds.

Multi-Document Data Extraction

Reads entire claims packets at once, extracting and correlating data from ACORD forms, police reports, medical bills, and invoices into a single structured file.

Multi-Document Data Extraction

Reads entire claims packets at once, extracting and correlating data from ACORD forms, police reports, medical bills, and invoices into a single structured file.

Multi-Document Data Extraction

Reads entire claims packets at once, extracting and correlating data from ACORD forms, police reports, medical bills, and invoices into a single structured file.

Multi-Document Data Extraction

Reads entire claims packets at once, extracting and correlating data from ACORD forms, police reports, medical bills, and invoices into a single structured file.

Initial Coverage Verification

Performs an initial check by comparing the claim details (e.g., date of loss, involved parties) against the policy information to flag potential coverage issues upfront.

Initial Coverage Verification

Performs an initial check by comparing the claim details (e.g., date of loss, involved parties) against the policy information to flag potential coverage issues upfront.

Initial Coverage Verification

Performs an initial check by comparing the claim details (e.g., date of loss, involved parties) against the policy information to flag potential coverage issues upfront.

Initial Coverage Verification

Performs an initial check by comparing the claim details (e.g., date of loss, involved parties) against the policy information to flag potential coverage issues upfront.

Automated Claim Triage

Categorizes and routes new claims based on your business rules. Automatically assign complex claims to senior adjusters, fast-track simple ones, or flag potential fraud for review.

Automated Claim Triage

Categorizes and routes new claims based on your business rules. Automatically assign complex claims to senior adjusters, fast-track simple ones, or flag potential fraud for review.

Automated Claim Triage

Categorizes and routes new claims based on your business rules. Automatically assign complex claims to senior adjusters, fast-track simple ones, or flag potential fraud for review.

Automated Claim Triage

Categorizes and routes new claims based on your business rules. Automatically assign complex claims to senior adjusters, fast-track simple ones, or flag potential fraud for review.

System of Record Integration

Delivers clean, structured data ready to be ingested by your claims management system (e.g., Guidewire, Duck Creek), eliminating manual data entry and keystroke errors.

System of Record Integration

Delivers clean, structured data ready to be ingested by your claims management system (e.g., Guidewire, Duck Creek), eliminating manual data entry and keystroke errors.

System of Record Integration

Delivers clean, structured data ready to be ingested by your claims management system (e.g., Guidewire, Duck Creek), eliminating manual data entry and keystroke errors.

System of Record Integration

Delivers clean, structured data ready to be ingested by your claims management system (e.g., Guidewire, Duck Creek), eliminating manual data entry and keystroke errors.

Fraud Indicator Detection

Analyzes claim narratives and supporting documents for common red flags, such as conflicting witness statements or unusual damage patterns, to assist in fraud detection.

Fraud Indicator Detection

Analyzes claim narratives and supporting documents for common red flags, such as conflicting witness statements or unusual damage patterns, to assist in fraud detection.

Fraud Indicator Detection

Analyzes claim narratives and supporting documents for common red flags, such as conflicting witness statements or unusual damage patterns, to assist in fraud detection.

Fraud Indicator Detection

Analyzes claim narratives and supporting documents for common red flags, such as conflicting witness statements or unusual damage patterns, to assist in fraud detection.

Customer voices

Customer voices

Connect AI to your claims management system.

Connect AI to your claims management system.

Let your adjusters investigate, not do data entry.

Let your adjusters investigate, not do data entry.

Finance

Legal

Insurance

Tax

Real Estate

Finance

Legal

Insurance

Tax

Real Estate

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.

Claim submissions are a messy mix of formats. This agent handles them all in one workflow: filled-out ACORD forms, unstructured police reports, handwritten notes, and digital photos of property damage.

Input types

50+ languages

Handwritten

200 pages

Multi-modal

Document types

PDFs

Images

Tables

Medical Scans

Emails

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.

Up to 200 pages.

Claim submissions are a messy mix of formats. This agent handles them all in one workflow: filled-out ACORD forms, unstructured police reports, handwritten notes, and digital photos of property damage.

Input types

50+ languages

Handwritten

200 pages

Multi-modal

Document types

PDFs

Images

Tables

Medical Scans

Emails

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.

Up to 200 pages.

Claim submissions are a messy mix of formats. This agent handles them all in one workflow: filled-out ACORD forms, unstructured police reports, handwritten notes, and digital photos of property damage.

Input types

50+ languages

Handwritten

200 pages

Multi-modal

Document types

PDFs

Images

Tables

Medical Scans

Emails

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate

through GenAI reasoning.

A wrong policy number or date of loss can derail a claim. The agent uses AI reasoning and validation checks to ensure that structured data like policy numbers, dates, and names are extracted with the highest precision for your core systems.

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.

A wrong policy number or date of loss can derail a claim. The agent uses AI reasoning and validation checks to ensure that structured data like policy numbers, dates, and names are extracted with the highest precision for your core systems.

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.

A wrong policy number or date of loss can derail a claim. The agent uses AI reasoning and validation checks to ensure that structured data like policy numbers, dates, and names are extracted with the highest precision for your core systems.

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.

Create a perfect record for every claim file. Every single extracted data point—from the claimant's name on the ACORD form to the narrative in the police report—is visually linked to its source, providing a complete and auditable history.

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.

Create a perfect record for every claim file. Every single extracted data point—from the claimant's name on the ACORD form to the narrative in the police report—is visually linked to its source, providing a complete and auditable history.

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.

Create a perfect record for every claim file. Every single extracted data point—from the claimant's name on the ACORD form to the narrative in the police report—is visually linked to its source, providing a complete and auditable history.

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.

Claims files are filled with sensitive Personal Identifiable Information (PII) and Protected Health Information (PHI). V7 Go handles this data with enterprise-grade security, ensuring compliance with privacy regulations like HIPAA and GDPR.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security

for high-stake industries.

Claims files are filled with sensitive Personal Identifiable Information (PII) and Protected Health Information (PHI). V7 Go handles this data with enterprise-grade security, ensuring compliance with privacy regulations like HIPAA and GDPR.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security

for high-stake industries.

Claims files are filled with sensitive Personal Identifiable Information (PII) and Protected Health Information (PHI). V7 Go handles this data with enterprise-grade security, ensuring compliance with privacy regulations like HIPAA and GDPR.

Certifications

GPDR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

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Automatically triages incoming claims by severity and fraud risk, then routes them to the right team.

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Provides instant, cited answers to complex coverage questions by analyzing policies and claim facts.

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Next steps

Next steps

Ready to cut your claim cycle times?

Send us a batch of your recent anonymized claim files. We'll show you how the agent can process them into structured data in a matter of minutes.

Uncover hidden liabilities

in

supplier contracts.

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

  • Mercedes-Benz logo
    SMC  logo
    Centerline logo
    Alaris logo

Uncover hidden liabilities

in

supplier contracts.

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

  • Mercedes-Benz logo
    SMC  logo
    Centerline logo
    Alaris logo

Answers

Answers

What you need to know about our

Insurance Claims Automation Agent

Can this agent handle claims submitted by email with multiple attachments?

Yes. It can monitor a dedicated inbox, automatically process new emails, and analyze all attachments—PDFs, images, Word documents—as a single claims packet, extracting and correlating the relevant data from each.

+

Can this agent handle claims submitted by email with multiple attachments?

Yes. It can monitor a dedicated inbox, automatically process new emails, and analyze all attachments—PDFs, images, Word documents—as a single claims packet, extracting and correlating the relevant data from each.

+

Can this agent handle claims submitted by email with multiple attachments?

Yes. It can monitor a dedicated inbox, automatically process new emails, and analyze all attachments—PDFs, images, Word documents—as a single claims packet, extracting and correlating the relevant data from each.

+

Does it integrate with our core claims management system?

Yes, the agent is designed to be the 'front-end' to your core system. It delivers a clean, structured data package via API or file export that is formatted to integrate seamlessly with systems like Guidewire, Duck Creek, or other platforms.

+

Does it integrate with our core claims management system?

Yes, the agent is designed to be the 'front-end' to your core system. It delivers a clean, structured data package via API or file export that is formatted to integrate seamlessly with systems like Guidewire, Duck Creek, or other platforms.

+

Does it integrate with our core claims management system?

Yes, the agent is designed to be the 'front-end' to your core system. It delivers a clean, structured data package via API or file export that is formatted to integrate seamlessly with systems like Guidewire, Duck Creek, or other platforms.

+

How does it handle handwritten information on claim forms or police reports?

The platform's advanced OCR technology is highly proficient at recognizing and digitizing handwritten text, allowing it to extract information from filled-out forms and adjuster notes accurately.

+

How does it handle handwritten information on claim forms or police reports?

The platform's advanced OCR technology is highly proficient at recognizing and digitizing handwritten text, allowing it to extract information from filled-out forms and adjuster notes accurately.

+

How does it handle handwritten information on claim forms or police reports?

The platform's advanced OCR technology is highly proficient at recognizing and digitizing handwritten text, allowing it to extract information from filled-out forms and adjuster notes accurately.

+

Can it process photos of vehicle damage or property damage?

The agent can recognize and classify images (e.g., 'photo of front bumper damage'). While it does not perform damage estimation itself, it can route the images to the appropriate systems or personnel for assessment.

+

Can it process photos of vehicle damage or property damage?

The agent can recognize and classify images (e.g., 'photo of front bumper damage'). While it does not perform damage estimation itself, it can route the images to the appropriate systems or personnel for assessment.

+

Can it process photos of vehicle damage or property damage?

The agent can recognize and classify images (e.g., 'photo of front bumper damage'). While it does not perform damage estimation itself, it can route the images to the appropriate systems or personnel for assessment.

+

What is the accuracy of the extracted data, like policy numbers?

It achieves very high accuracy on structured data like policy numbers, dates, and names. Every extraction is also visually grounded, meaning your team can instantly verify any piece of information by clicking to see its source in the original document.

+

What is the accuracy of the extracted data, like policy numbers?

It achieves very high accuracy on structured data like policy numbers, dates, and names. Every extraction is also visually grounded, meaning your team can instantly verify any piece of information by clicking to see its source in the original document.

+

What is the accuracy of the extracted data, like policy numbers?

It achieves very high accuracy on structured data like policy numbers, dates, and names. Every extraction is also visually grounded, meaning your team can instantly verify any piece of information by clicking to see its source in the original document.

+

How are claims triaged and routed?

You define the rules. For example, you can set a workflow to 'flag any claim with bodily injury and an incident report that mentions an ambulance for senior adjuster review,' creating an automated and consistent triage process.

+

How are claims triaged and routed?

You define the rules. For example, you can set a workflow to 'flag any claim with bodily injury and an incident report that mentions an ambulance for senior adjuster review,' creating an automated and consistent triage process.

+

How are claims triaged and routed?

You define the rules. For example, you can set a workflow to 'flag any claim with bodily injury and an incident report that mentions an ambulance for senior adjuster review,' creating an automated and consistent triage process.

+