90% faster investigations
AI agent for Anti-Money Laundering Investigators
From days of research to minutes
Delegate SAR investigation research to a specialized AI agent. It automatically gathers transaction history, ownership structures, adverse media, sanctions screening results, and relationship networks from internal systems and external databases, delivering a comprehensive entity dossier ready for investigator review.
Ideal for
AML Investigators
Compliance Teams
Financial Crime Units
See AI agent for Anti-Money Laundering Investigators in action
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See AI agent for Anti-Money Laundering Investigators in action
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See AI agent for Anti-Money Laundering Investigators in action
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SAR Investigation - Entity 47829
See AI agent for Anti-Money Laundering Investigators in action
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Time comparison
Time comparison
Traditional way
8-16 hours per SAR
With V7 Go agents
30-60 minutes
Average time saved
90%
Why V7 Go
Why V7 Go
Automated Entity Intelligence Gathering
Automatically pulls transaction history, account relationships, wire transfer patterns, and customer due diligence records from core banking systems, creating a complete financial profile of the flagged entity.
Automated Entity Intelligence Gathering
Automatically pulls transaction history, account relationships, wire transfer patterns, and customer due diligence records from core banking systems, creating a complete financial profile of the flagged entity.
Automated Entity Intelligence Gathering
Automatically pulls transaction history, account relationships, wire transfer patterns, and customer due diligence records from core banking systems, creating a complete financial profile of the flagged entity.
Automated Entity Intelligence Gathering
Automatically pulls transaction history, account relationships, wire transfer patterns, and customer due diligence records from core banking systems, creating a complete financial profile of the flagged entity.
Beneficial Ownership Mapping
Traces corporate ownership structures through public registries and internal KYC data to identify ultimate beneficial owners, shell companies, and complex ownership chains that obscure true control.
Beneficial Ownership Mapping
Traces corporate ownership structures through public registries and internal KYC data to identify ultimate beneficial owners, shell companies, and complex ownership chains that obscure true control.
Beneficial Ownership Mapping
Traces corporate ownership structures through public registries and internal KYC data to identify ultimate beneficial owners, shell companies, and complex ownership chains that obscure true control.
Beneficial Ownership Mapping
Traces corporate ownership structures through public registries and internal KYC data to identify ultimate beneficial owners, shell companies, and complex ownership chains that obscure true control.
Sanctions and Watchlist Screening
Cross-references entities against OFAC, UN, EU, and other sanctions lists, plus PEP databases and adverse media sources, flagging any matches or close associations that require investigator attention.
Sanctions and Watchlist Screening
Cross-references entities against OFAC, UN, EU, and other sanctions lists, plus PEP databases and adverse media sources, flagging any matches or close associations that require investigator attention.
Sanctions and Watchlist Screening
Cross-references entities against OFAC, UN, EU, and other sanctions lists, plus PEP databases and adverse media sources, flagging any matches or close associations that require investigator attention.
Sanctions and Watchlist Screening
Cross-references entities against OFAC, UN, EU, and other sanctions lists, plus PEP databases and adverse media sources, flagging any matches or close associations that require investigator attention.
Adverse Media Analysis
Searches news archives, regulatory filings, and public records for negative mentions related to fraud, corruption, money laundering, or other financial crimes, summarizing relevant findings with source citations.
Adverse Media Analysis
Searches news archives, regulatory filings, and public records for negative mentions related to fraud, corruption, money laundering, or other financial crimes, summarizing relevant findings with source citations.
Adverse Media Analysis
Searches news archives, regulatory filings, and public records for negative mentions related to fraud, corruption, money laundering, or other financial crimes, summarizing relevant findings with source citations.
Adverse Media Analysis
Searches news archives, regulatory filings, and public records for negative mentions related to fraud, corruption, money laundering, or other financial crimes, summarizing relevant findings with source citations.
Transaction Pattern Recognition
Analyzes transaction sequences to identify structuring patterns, rapid movement of funds, circular transfers, or other behaviors consistent with money laundering typologies documented in your Knowledge Hub.
Transaction Pattern Recognition
Analyzes transaction sequences to identify structuring patterns, rapid movement of funds, circular transfers, or other behaviors consistent with money laundering typologies documented in your Knowledge Hub.
Transaction Pattern Recognition
Analyzes transaction sequences to identify structuring patterns, rapid movement of funds, circular transfers, or other behaviors consistent with money laundering typologies documented in your Knowledge Hub.
Transaction Pattern Recognition
Analyzes transaction sequences to identify structuring patterns, rapid movement of funds, circular transfers, or other behaviors consistent with money laundering typologies documented in your Knowledge Hub.
Auditable Investigation Trail
Creates a complete, cited record of all data sources consulted and findings discovered, providing the documentation trail required for regulatory examination and internal quality assurance reviews.
Auditable Investigation Trail
Creates a complete, cited record of all data sources consulted and findings discovered, providing the documentation trail required for regulatory examination and internal quality assurance reviews.
Auditable Investigation Trail
Creates a complete, cited record of all data sources consulted and findings discovered, providing the documentation trail required for regulatory examination and internal quality assurance reviews.
Auditable Investigation Trail
Creates a complete, cited record of all data sources consulted and findings discovered, providing the documentation trail required for regulatory examination and internal quality assurance reviews.
Analyzes multiple data sources simultaneously
To build comprehensive entity intelligence.
Get started
Get started
Import your files
Snowflake
,
Salesforce
,
Microsoft Excel
Import your files from whereever they are currently stored
All types of Finance documents supported
Once imported our system extracts and organises the essentials
Customer voices
Customer voices
Connect AI to your financial crime intelligence.
Connect AI to your financial crime intelligence.
Turn SAR backlogs into timely, thorough investigations.
Turn SAR backlogs into timely, thorough investigations.
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.
Financial crime investigations involve diverse document types from multiple jurisdictions. This agent handles everything from structured transaction reports and KYC forms to unstructured adverse media articles and scanned corporate registries, extracting relevant intelligence regardless of format or language.
Input types
50+ languages
Structured Data
200 pages
Multi-modal
Document types
PDFs
Database Records
Tables
News Articles
Spreadsheets
Vendor_US.xlsx
3
Supply_2023.pptx
Review_Legal.pdf
Supporting complex documents.
Up to 200 pages.
Financial crime investigations involve diverse document types from multiple jurisdictions. This agent handles everything from structured transaction reports and KYC forms to unstructured adverse media articles and scanned corporate registries, extracting relevant intelligence regardless of format or language.
Input types
50+ languages
Structured Data
200 pages
Multi-modal
Document types
PDFs
Database Records
Tables
News Articles
Spreadsheets
Vendor_US.xlsx
3
Supply_2023.pptx
Review_Legal.pdf
Supporting complex documents.
Up to 200 pages.
Financial crime investigations involve diverse document types from multiple jurisdictions. This agent handles everything from structured transaction reports and KYC forms to unstructured adverse media articles and scanned corporate registries, extracting relevant intelligence regardless of format or language.
Input types
50+ languages
Structured Data
200 pages
Multi-modal
Document types
PDFs
Database Records
Tables
News Articles
Spreadsheets
Vendor_US.xlsx
3
Supply_2023.pptx
Review_Legal.pdf
Reach 99% accuracy rate
through GenAI reasoning.
AML investigations demand precision. The agent uses sophisticated entity resolution algorithms and contextual analysis to accurately match entities across systems, distinguish true sanctions hits from false positives, and extract transaction details without error, ensuring your investigation findings are reliable.
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.
AML investigations demand precision. The agent uses sophisticated entity resolution algorithms and contextual analysis to accurately match entities across systems, distinguish true sanctions hits from false positives, and extract transaction details without error, ensuring your investigation findings are reliable.
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.
AML investigations demand precision. The agent uses sophisticated entity resolution algorithms and contextual analysis to accurately match entities across systems, distinguish true sanctions hits from false positives, and extract transaction details without error, ensuring your investigation findings are reliable.
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.
Every finding in the investigation dossier is linked to its source. Transaction patterns cite specific wire transfers, ownership claims reference registry documents, and adverse media mentions link to original articles. This creates the audit trail required for regulatory examination and internal quality review.
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.
Every finding in the investigation dossier is linked to its source. Transaction patterns cite specific wire transfers, ownership claims reference registry documents, and adverse media mentions link to original articles. This creates the audit trail required for regulatory examination and internal quality review.
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.
Every finding in the investigation dossier is linked to its source. Transaction patterns cite specific wire transfers, ownership claims reference registry documents, and adverse media mentions link to original articles. This creates the audit trail required for regulatory examination and internal quality review.
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.
AML investigations involve highly sensitive customer data and confidential intelligence. V7 Go processes all investigation data within your secure environment, maintaining strict access controls and audit logs that meet regulatory requirements for data protection and privacy.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
AML investigations involve highly sensitive customer data and confidential intelligence. V7 Go processes all investigation data within your secure environment, maintaining strict access controls and audit logs that meet regulatory requirements for data protection and privacy.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
AML investigations involve highly sensitive customer data and confidential intelligence. V7 Go processes all investigation data within your secure environment, maintaining strict access controls and audit logs that meet regulatory requirements for data protection and privacy.
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 Anti-Money Laundering Investigators
How does the agent access internal transaction data?
The agent integrates with your core banking systems, transaction monitoring platforms, and KYC databases through secure APIs or data feeds. It queries these systems using the entity identifiers from the SAR to retrieve relevant transaction history and customer records.
+
How does the agent access internal transaction data?
The agent integrates with your core banking systems, transaction monitoring platforms, and KYC databases through secure APIs or data feeds. It queries these systems using the entity identifiers from the SAR to retrieve relevant transaction history and customer records.
+
How does the agent access internal transaction data?
The agent integrates with your core banking systems, transaction monitoring platforms, and KYC databases through secure APIs or data feeds. It queries these systems using the entity identifiers from the SAR to retrieve relevant transaction history and customer records.
+
What external data sources does it search?
The agent can be configured to search sanctions lists, corporate registries, adverse media databases, court records, and other public or commercial data sources relevant to your jurisdiction and risk appetite. You control which sources are included in the investigation workflow.
+
What external data sources does it search?
The agent can be configured to search sanctions lists, corporate registries, adverse media databases, court records, and other public or commercial data sources relevant to your jurisdiction and risk appetite. You control which sources are included in the investigation workflow.
+
What external data sources does it search?
The agent can be configured to search sanctions lists, corporate registries, adverse media databases, court records, and other public or commercial data sources relevant to your jurisdiction and risk appetite. You control which sources are included in the investigation workflow.
+
How does it handle false positive screening matches?
The agent uses fuzzy matching algorithms and contextual analysis to assess the likelihood of a true match versus a false positive. It flags uncertain matches for investigator review rather than making definitive determinations, ensuring human judgment remains in the loop for critical decisions.
+
How does it handle false positive screening matches?
The agent uses fuzzy matching algorithms and contextual analysis to assess the likelihood of a true match versus a false positive. It flags uncertain matches for investigator review rather than making definitive determinations, ensuring human judgment remains in the loop for critical decisions.
+
How does it handle false positive screening matches?
The agent uses fuzzy matching algorithms and contextual analysis to assess the likelihood of a true match versus a false positive. It flags uncertain matches for investigator review rather than making definitive determinations, ensuring human judgment remains in the loop for critical decisions.
+
Can it identify previously unknown relationships?
Yes. By analyzing transaction counterparties, shared addresses, common signatories, and other data points across your internal systems, the agent can surface relationship networks that may not be explicitly documented in your KYC records, helping investigators understand the full scope of potential exposure.
+
Can it identify previously unknown relationships?
Yes. By analyzing transaction counterparties, shared addresses, common signatories, and other data points across your internal systems, the agent can surface relationship networks that may not be explicitly documented in your KYC records, helping investigators understand the full scope of potential exposure.
+
Can it identify previously unknown relationships?
Yes. By analyzing transaction counterparties, shared addresses, common signatories, and other data points across your internal systems, the agent can surface relationship networks that may not be explicitly documented in your KYC records, helping investigators understand the full scope of potential exposure.
+
How does it ensure data privacy and security?
V7 Go processes all investigation data within your secure environment and adheres to strict data governance protocols. The agent operates under the same access controls as your human investigators, ensuring that sensitive customer information is handled in compliance with privacy regulations and internal policies.
+
How does it ensure data privacy and security?
V7 Go processes all investigation data within your secure environment and adheres to strict data governance protocols. The agent operates under the same access controls as your human investigators, ensuring that sensitive customer information is handled in compliance with privacy regulations and internal policies.
+
How does it ensure data privacy and security?
V7 Go processes all investigation data within your secure environment and adheres to strict data governance protocols. The agent operates under the same access controls as your human investigators, ensuring that sensitive customer information is handled in compliance with privacy regulations and internal policies.
+
What is the final output format?
The agent delivers a structured investigation dossier that includes entity profile, transaction summary, ownership structure, screening results, adverse media findings, and relationship network visualization. This output can be customized to match your internal SAR investigation templates and reporting requirements.
+
What is the final output format?
The agent delivers a structured investigation dossier that includes entity profile, transaction summary, ownership structure, screening results, adverse media findings, and relationship network visualization. This output can be customized to match your internal SAR investigation templates and reporting requirements.
+
What is the final output format?
The agent delivers a structured investigation dossier that includes entity profile, transaction summary, ownership structure, screening results, adverse media findings, and relationship network visualization. This output can be customized to match your internal SAR investigation templates and reporting requirements.
+
Next steps
Next steps
Still building SAR dossiers by hand across ten different systems?
Send us a sample SAR and your data sources. We'll show you how our agent can deliver a complete investigation dossier in under an hour.
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: