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

See Insurance Claims Automation Agent in action
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See Insurance Claims Automation Agent in action
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See Insurance Claims Automation Agent in action
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New Auto Claim Submission
See Insurance Claims Automation Agent in action
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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.
Processes entire claim submission packets
To automate data entry and initial review.
Get started
Get started
Import your files
Guidewire
,
Mitchell
,
CCC Intelligent Solutions
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 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
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
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
“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
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
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
Healthcare
The configurability and extensive API interface of V7 has enabled us to quickly create, customise, deploy and make changes to our labelling processes all through automated communications with our own backend tooling.
Read the full story
Automotive
"We chose V7 because we wanted to build new types of workflows. We had our own system, but we wanted it to accomplish additional tasks, like create other annotation types, re-annotations, annotations on videos—activities that would be a lot of effort in development."
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 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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•
Exclusion & Endorsement Flagging
•
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Instantly analyzes insurance policies to extract coverages, limits, exclusions, and endorsements.
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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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Instantly compares two documents to create a smart redline and summary of all material changes.
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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:
Uncover hidden liabilities
in
supplier contracts.
V7 Go transforms documents into strategic assets. 150+ enterprises are already on board:
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.
+