90% faster fraud detection
AI agent for Special Investigation Units
Find fraud rings before they find you
Delegate the complex task of fraud network detection to a specialized AI agent. It analyzes thousands of claims simultaneously, identifies suspicious patterns, links common participants across incidents, and flags coordinated schemes that would take investigators months to uncover manually.
Ideal for
Special Investigation Units
Fraud Analytics Teams
Claims Intelligence
See AI agent for Special Investigation Units in action
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See AI agent for Special Investigation Units in action
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See AI agent for Special Investigation Units in action
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Fraud Network Analysis - Q4 Auto Claims
See AI agent for Special Investigation Units in action
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Time comparison
Time comparison
Traditional way
3-6 months per network
With V7 Go agents
2-4 hours
Average time saved
99%
Why V7 Go
Why V7 Go
Cross-Claim Pattern Recognition
Analyzes thousands of claims simultaneously to identify suspicious patterns that span multiple incidents, detecting coordinated schemes that individual claim reviews would never reveal.
Cross-Claim Pattern Recognition
Analyzes thousands of claims simultaneously to identify suspicious patterns that span multiple incidents, detecting coordinated schemes that individual claim reviews would never reveal.
Cross-Claim Pattern Recognition
Analyzes thousands of claims simultaneously to identify suspicious patterns that span multiple incidents, detecting coordinated schemes that individual claim reviews would never reveal.
Cross-Claim Pattern Recognition
Analyzes thousands of claims simultaneously to identify suspicious patterns that span multiple incidents, detecting coordinated schemes that individual claim reviews would never reveal.
Network Participant Linking
Automatically connects claimants, witnesses, medical providers, attorneys, and repair shops across claims to map out fraud networks and identify repeat participants in suspicious incidents.
Network Participant Linking
Automatically connects claimants, witnesses, medical providers, attorneys, and repair shops across claims to map out fraud networks and identify repeat participants in suspicious incidents.
Network Participant Linking
Automatically connects claimants, witnesses, medical providers, attorneys, and repair shops across claims to map out fraud networks and identify repeat participants in suspicious incidents.
Network Participant Linking
Automatically connects claimants, witnesses, medical providers, attorneys, and repair shops across claims to map out fraud networks and identify repeat participants in suspicious incidents.
Staged Accident Detection
Identifies telltale signs of staged collisions including identical injury patterns, suspicious timing, geographic clustering, and recycled participant combinations that indicate orchestrated schemes.
Staged Accident Detection
Identifies telltale signs of staged collisions including identical injury patterns, suspicious timing, geographic clustering, and recycled participant combinations that indicate orchestrated schemes.
Staged Accident Detection
Identifies telltale signs of staged collisions including identical injury patterns, suspicious timing, geographic clustering, and recycled participant combinations that indicate orchestrated schemes.
Staged Accident Detection
Identifies telltale signs of staged collisions including identical injury patterns, suspicious timing, geographic clustering, and recycled participant combinations that indicate orchestrated schemes.
Temporal and Geographic Analysis
Maps claim patterns across time and location to detect suspicious clusters, identify fraud hotspots, and reveal coordinated activity that occurs in waves or specific geographic areas.
Temporal and Geographic Analysis
Maps claim patterns across time and location to detect suspicious clusters, identify fraud hotspots, and reveal coordinated activity that occurs in waves or specific geographic areas.
Temporal and Geographic Analysis
Maps claim patterns across time and location to detect suspicious clusters, identify fraud hotspots, and reveal coordinated activity that occurs in waves or specific geographic areas.
Temporal and Geographic Analysis
Maps claim patterns across time and location to detect suspicious clusters, identify fraud hotspots, and reveal coordinated activity that occurs in waves or specific geographic areas.
Medical Provider Network Analysis
Tracks referral patterns and treatment protocols across providers to identify mills, phantom clinics, and medical professionals who consistently appear in suspicious claims.
Medical Provider Network Analysis
Tracks referral patterns and treatment protocols across providers to identify mills, phantom clinics, and medical professionals who consistently appear in suspicious claims.
Medical Provider Network Analysis
Tracks referral patterns and treatment protocols across providers to identify mills, phantom clinics, and medical professionals who consistently appear in suspicious claims.
Medical Provider Network Analysis
Tracks referral patterns and treatment protocols across providers to identify mills, phantom clinics, and medical professionals who consistently appear in suspicious claims.
Prioritized Investigation Queue
Scores and ranks detected fraud networks by severity, financial exposure, and evidence strength, allowing investigators to focus resources on the most impactful cases first.
Prioritized Investigation Queue
Scores and ranks detected fraud networks by severity, financial exposure, and evidence strength, allowing investigators to focus resources on the most impactful cases first.
Prioritized Investigation Queue
Scores and ranks detected fraud networks by severity, financial exposure, and evidence strength, allowing investigators to focus resources on the most impactful cases first.
Prioritized Investigation Queue
Scores and ranks detected fraud networks by severity, financial exposure, and evidence strength, allowing investigators to focus resources on the most impactful cases first.
Analyzes all fraud indicators across claims
To map organized fraud networks and staged schemes.
Get started
Get started
Import your files
Salesforce
,
Snowflake
,
Tableau
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
Turn claims data into fraud intelligence.
Turn claims data into fraud intelligence.
Dismantle fraud networks before they cost millions.
Dismantle fraud networks before they cost millions.
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.
Fraud investigations involve messy, real-world data. This agent handles everything from scanned police reports and handwritten medical notes to complex claim databases and surveillance footage metadata, extracting patterns regardless of format.
Input types
50+ languages
Handwritten Notes
200 pages
Multi-modal
Document types
PDFs
Database Exports
Complex Tables
Scanned Reports
Spreadsheets
Vendor_US.xlsx
3
Supply_2023.pptx
Review_Legal.pdf
Supporting complex documents.
Up to 200 pages.
Fraud investigations involve messy, real-world data. This agent handles everything from scanned police reports and handwritten medical notes to complex claim databases and surveillance footage metadata, extracting patterns regardless of format.
Input types
50+ languages
Handwritten Notes
200 pages
Multi-modal
Document types
PDFs
Database Exports
Complex Tables
Scanned Reports
Spreadsheets
Vendor_US.xlsx
3
Supply_2023.pptx
Review_Legal.pdf
Supporting complex documents.
Up to 200 pages.
Fraud investigations involve messy, real-world data. This agent handles everything from scanned police reports and handwritten medical notes to complex claim databases and surveillance footage metadata, extracting patterns regardless of format.
Input types
50+ languages
Handwritten Notes
200 pages
Multi-modal
Document types
PDFs
Database Exports
Complex Tables
Scanned Reports
Spreadsheets
Vendor_US.xlsx
3
Supply_2023.pptx
Review_Legal.pdf
Reach 99% accuracy rate
through GenAI reasoning.
False positives waste investigator time and damage carrier relationships. The agent uses sophisticated pattern analysis and statistical modeling to ensure detected networks represent genuine fraud schemes, not coincidental overlaps.
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.
False positives waste investigator time and damage carrier relationships. The agent uses sophisticated pattern analysis and statistical modeling to ensure detected networks represent genuine fraud schemes, not coincidental overlaps.
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.
False positives waste investigator time and damage carrier relationships. The agent uses sophisticated pattern analysis and statistical modeling to ensure detected networks represent genuine fraud schemes, not coincidental overlaps.
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 prosecutable cases with confidence. Every network connection, pattern detection, and fraud indicator is linked back to specific claims and source documents, providing a complete audit trail for legal proceedings.
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.
Build prosecutable cases with confidence. Every network connection, pattern detection, and fraud indicator is linked back to specific claims and source documents, providing a complete audit trail for legal proceedings.
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 prosecutable cases with confidence. Every network connection, pattern detection, and fraud indicator is linked back to specific claims and source documents, providing a complete audit trail for legal proceedings.
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 data contains highly sensitive personal and medical information. V7 Go processes all fraud analysis within your secure environment, maintaining strict compliance with insurance privacy regulations and data protection standards.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Claims data contains highly sensitive personal and medical information. V7 Go processes all fraud analysis within your secure environment, maintaining strict compliance with insurance privacy regulations and data protection standards.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Claims data contains highly sensitive personal and medical information. V7 Go processes all fraud analysis within your secure environment, maintaining strict compliance with insurance privacy regulations and data protection standards.
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 Special Investigation Units
How does the agent distinguish between coincidence and coordinated fraud?
The agent uses sophisticated statistical analysis to identify patterns that exceed normal probability thresholds. It considers multiple factors including participant overlap, timing patterns, injury similarity, geographic proximity, and claim characteristics to calculate fraud likelihood scores that separate genuine coincidences from coordinated schemes.
+
How does the agent distinguish between coincidence and coordinated fraud?
The agent uses sophisticated statistical analysis to identify patterns that exceed normal probability thresholds. It considers multiple factors including participant overlap, timing patterns, injury similarity, geographic proximity, and claim characteristics to calculate fraud likelihood scores that separate genuine coincidences from coordinated schemes.
+
How does the agent distinguish between coincidence and coordinated fraud?
The agent uses sophisticated statistical analysis to identify patterns that exceed normal probability thresholds. It considers multiple factors including participant overlap, timing patterns, injury similarity, geographic proximity, and claim characteristics to calculate fraud likelihood scores that separate genuine coincidences from coordinated schemes.
+
Can it detect fraud rings that span multiple years?
Yes. The agent analyzes your entire claims history, not just recent data. It can identify long-running fraud operations where participants rotate in and out over time, or where schemes evolve to avoid detection while maintaining core network connections.
+
Can it detect fraud rings that span multiple years?
Yes. The agent analyzes your entire claims history, not just recent data. It can identify long-running fraud operations where participants rotate in and out over time, or where schemes evolve to avoid detection while maintaining core network connections.
+
Can it detect fraud rings that span multiple years?
Yes. The agent analyzes your entire claims history, not just recent data. It can identify long-running fraud operations where participants rotate in and out over time, or where schemes evolve to avoid detection while maintaining core network connections.
+
What types of fraud schemes can it detect?
The agent is designed to detect organized schemes including staged accidents, phantom injuries, medical mill operations, inflated repair fraud, identity fraud rings, and coordinated soft tissue injury claims. You can configure it to focus on specific fraud types relevant to your portfolio.
+
What types of fraud schemes can it detect?
The agent is designed to detect organized schemes including staged accidents, phantom injuries, medical mill operations, inflated repair fraud, identity fraud rings, and coordinated soft tissue injury claims. You can configure it to focus on specific fraud types relevant to your portfolio.
+
What types of fraud schemes can it detect?
The agent is designed to detect organized schemes including staged accidents, phantom injuries, medical mill operations, inflated repair fraud, identity fraud rings, and coordinated soft tissue injury claims. You can configure it to focus on specific fraud types relevant to your portfolio.
+
How does it handle privacy and data security?
V7 Go processes all claims data within your secure environment and adheres to strict insurance industry privacy standards. The agent analyzes patterns without exposing individual claim details unnecessarily, and all findings are delivered through secure, auditable channels.
+
How does it handle privacy and data security?
V7 Go processes all claims data within your secure environment and adheres to strict insurance industry privacy standards. The agent analyzes patterns without exposing individual claim details unnecessarily, and all findings are delivered through secure, auditable channels.
+
How does it handle privacy and data security?
V7 Go processes all claims data within your secure environment and adheres to strict insurance industry privacy standards. The agent analyzes patterns without exposing individual claim details unnecessarily, and all findings are delivered through secure, auditable channels.
+
Does it replace human investigators?
No. The agent accelerates the detection phase, allowing investigators to focus their expertise on case building, interviews, and prosecution. It surfaces the networks and provides evidence trails, but human judgment remains essential for investigation strategy and legal action.
+
Does it replace human investigators?
No. The agent accelerates the detection phase, allowing investigators to focus their expertise on case building, interviews, and prosecution. It surfaces the networks and provides evidence trails, but human judgment remains essential for investigation strategy and legal action.
+
Does it replace human investigators?
No. The agent accelerates the detection phase, allowing investigators to focus their expertise on case building, interviews, and prosecution. It surfaces the networks and provides evidence trails, but human judgment remains essential for investigation strategy and legal action.
+
What is the output format?
The agent delivers structured reports that include network diagrams showing participant connections, timeline visualizations, geographic heat maps, evidence summaries with claim citations, and prioritized investigation recommendations. All findings link back to source claims for verification.
+
What is the output format?
The agent delivers structured reports that include network diagrams showing participant connections, timeline visualizations, geographic heat maps, evidence summaries with claim citations, and prioritized investigation recommendations. All findings link back to source claims for verification.
+
What is the output format?
The agent delivers structured reports that include network diagrams showing participant connections, timeline visualizations, geographic heat maps, evidence summaries with claim citations, and prioritized investigation recommendations. All findings link back to source claims for verification.
+
Next steps
Next steps
Suspect organized fraud in your claims portfolio?
Send us a sample of your claims data, and we'll show you what fraud networks our AI can detect in your portfolio.
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: