90% faster migration
AI agent for Agency Management System Admins
From months of migration to weeks
Delegate the complex task of system migration to a specialized AI agent. It extracts policy data from legacy PDFs, maps fields to your new database schema, validates data integrity, and flags inconsistencies, allowing your IT team to focus on strategic platform optimization instead of manual data entry.

Ideal for
IT Administrators
System Migration Teams
Insurance Operations

See AI agent for Agency Management System Admins in action
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See AI agent for Agency Management System Admins in action
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See AI agent for Agency Management System Admins in action
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Legacy System Migration - Phase 1
See AI agent for Agency Management System Admins in action
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Time comparison
Time comparison
Traditional way
3-6 months
With V7 Go agents
2-4 weeks
Average time saved
90%
Why V7 Go
Why V7 Go
Automated Data Extraction
Reads policy documents, customer records, and transaction histories from legacy PDFs and database exports, extracting structured data regardless of format inconsistencies or document quality.
Automated Data Extraction
Reads policy documents, customer records, and transaction histories from legacy PDFs and database exports, extracting structured data regardless of format inconsistencies or document quality.
Automated Data Extraction
Reads policy documents, customer records, and transaction histories from legacy PDFs and database exports, extracting structured data regardless of format inconsistencies or document quality.
Automated Data Extraction
Reads policy documents, customer records, and transaction histories from legacy PDFs and database exports, extracting structured data regardless of format inconsistencies or document quality.
Intelligent Field Mapping
Automatically maps data fields from legacy systems to your new database schema by understanding field semantics, not just matching column names, ensuring accurate data placement.
Intelligent Field Mapping
Automatically maps data fields from legacy systems to your new database schema by understanding field semantics, not just matching column names, ensuring accurate data placement.
Intelligent Field Mapping
Automatically maps data fields from legacy systems to your new database schema by understanding field semantics, not just matching column names, ensuring accurate data placement.
Intelligent Field Mapping
Automatically maps data fields from legacy systems to your new database schema by understanding field semantics, not just matching column names, ensuring accurate data placement.
Data Validation and Cleansing
Identifies incomplete records, format inconsistencies, duplicate entries, and data quality issues before import, allowing your team to resolve problems proactively rather than discovering them post-migration.
Data Validation and Cleansing
Identifies incomplete records, format inconsistencies, duplicate entries, and data quality issues before import, allowing your team to resolve problems proactively rather than discovering them post-migration.
Data Validation and Cleansing
Identifies incomplete records, format inconsistencies, duplicate entries, and data quality issues before import, allowing your team to resolve problems proactively rather than discovering them post-migration.
Data Validation and Cleansing
Identifies incomplete records, format inconsistencies, duplicate entries, and data quality issues before import, allowing your team to resolve problems proactively rather than discovering them post-migration.
Schema Compatibility Analysis
Compares legacy data structures against your new system requirements, flagging fields that require transformation, data types that need conversion, and relationships that must be preserved.
Schema Compatibility Analysis
Compares legacy data structures against your new system requirements, flagging fields that require transformation, data types that need conversion, and relationships that must be preserved.
Schema Compatibility Analysis
Compares legacy data structures against your new system requirements, flagging fields that require transformation, data types that need conversion, and relationships that must be preserved.
Schema Compatibility Analysis
Compares legacy data structures against your new system requirements, flagging fields that require transformation, data types that need conversion, and relationships that must be preserved.
Batch Processing at Scale
Processes thousands of policy records, customer files, and transaction logs simultaneously, completing in hours what would take manual teams weeks to accomplish during system cutover.
Batch Processing at Scale
Processes thousands of policy records, customer files, and transaction logs simultaneously, completing in hours what would take manual teams weeks to accomplish during system cutover.
Batch Processing at Scale
Processes thousands of policy records, customer files, and transaction logs simultaneously, completing in hours what would take manual teams weeks to accomplish during system cutover.
Batch Processing at Scale
Processes thousands of policy records, customer files, and transaction logs simultaneously, completing in hours what would take manual teams weeks to accomplish during system cutover.
Complete Migration Audit Trail
Provides a comprehensive record of every data transformation, field mapping decision, and validation check performed, ensuring full traceability for compliance audits and rollback scenarios.
Complete Migration Audit Trail
Provides a comprehensive record of every data transformation, field mapping decision, and validation check performed, ensuring full traceability for compliance audits and rollback scenarios.
Complete Migration Audit Trail
Provides a comprehensive record of every data transformation, field mapping decision, and validation check performed, ensuring full traceability for compliance audits and rollback scenarios.
Complete Migration Audit Trail
Provides a comprehensive record of every data transformation, field mapping decision, and validation check performed, ensuring full traceability for compliance audits and rollback scenarios.
Processes any legacy system format
To deliver migration-ready data with full validation.
Get started
Get started

Import your files
Salesforce
,
Microsoft SQL Server
,
Microsoft Sharepoint Online
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 migration strategy.
Connect AI to your migration strategy.
Turn a six-month project into a four-week sprint.
Turn a six-month project into a four-week sprint.
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.
Legacy insurance systems export data in countless formats. This agent handles everything from proprietary database dumps and scanned policy documents to complex spreadsheets with inconsistent field names. It extracts data regardless of format quality or structural variation.
Input types
50+ languages
Low-Quality Scans
200 pages
Multi-modal
Document types
PDFs
Database Exports
Complex Tables
Legacy Formats
Spreadsheets
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.
Up to 200 pages.
Legacy insurance systems export data in countless formats. This agent handles everything from proprietary database dumps and scanned policy documents to complex spreadsheets with inconsistent field names. It extracts data regardless of format quality or structural variation.
Input types
50+ languages
Low-Quality Scans
200 pages
Multi-modal
Document types
PDFs
Database Exports
Complex Tables
Legacy Formats
Spreadsheets
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.
Up to 200 pages.
Legacy insurance systems export data in countless formats. This agent handles everything from proprietary database dumps and scanned policy documents to complex spreadsheets with inconsistent field names. It extracts data regardless of format quality or structural variation.
Input types
50+ languages
Low-Quality Scans
200 pages
Multi-modal
Document types
PDFs
Database Exports
Complex Tables
Legacy Formats
Spreadsheets
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate
through GenAI reasoning.
Data migration errors can corrupt your entire new system. This agent uses sophisticated validation workflows to ensure policy numbers, dates, coverage amounts, and customer data are extracted with exceptional accuracy, ready for import without manual correction.
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.
Data migration errors can corrupt your entire new system. This agent uses sophisticated validation workflows to ensure policy numbers, dates, coverage amounts, and customer data are extracted with exceptional accuracy, ready for import without manual correction.
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.
Data migration errors can corrupt your entire new system. This agent uses sophisticated validation workflows to ensure policy numbers, dates, coverage amounts, and customer data are extracted with exceptional accuracy, ready for import without manual correction.
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.
Verify every data transformation decision. Each extracted field, mapping choice, and validation flag is visually linked to its source in the legacy system export, providing complete traceability for audit and rollback scenarios.

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.
Verify every data transformation decision. Each extracted field, mapping choice, and validation flag is visually linked to its source in the legacy system export, providing complete traceability for audit and rollback scenarios.

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.
Verify every data transformation decision. Each extracted field, mapping choice, and validation flag is visually linked to its source in the legacy system export, providing complete traceability for audit and rollback scenarios.

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.
Legacy system data contains sensitive customer information and proprietary business records. V7 Go processes all migration data within your secure environment, ensuring confidentiality and compliance with insurance data protection regulations.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Legacy system data contains sensitive customer information and proprietary business records. V7 Go processes all migration data within your secure environment, ensuring confidentiality and compliance with insurance data protection regulations.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Legacy system data contains sensitive customer information and proprietary business records. V7 Go processes all migration data within your secure environment, ensuring confidentiality and compliance with insurance data protection regulations.
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 Agency Management System Admins
How does the agent handle different legacy system formats?
The agent is designed to process data from any legacy format, including proprietary database exports, scanned policy documents, and structured PDFs. It uses semantic understanding to identify data fields regardless of how they're labeled or formatted in the source system.
+
How does the agent handle different legacy system formats?
The agent is designed to process data from any legacy format, including proprietary database exports, scanned policy documents, and structured PDFs. It uses semantic understanding to identify data fields regardless of how they're labeled or formatted in the source system.
+
How does the agent handle different legacy system formats?
The agent is designed to process data from any legacy format, including proprietary database exports, scanned policy documents, and structured PDFs. It uses semantic understanding to identify data fields regardless of how they're labeled or formatted in the source system.
+
Can it map to our specific database schema?
Yes. You provide the agent with your new system's database schema and field definitions. The agent then intelligently maps legacy data to the correct fields, even when field names differ significantly between systems, by understanding the semantic meaning of the data.
+
Can it map to our specific database schema?
Yes. You provide the agent with your new system's database schema and field definitions. The agent then intelligently maps legacy data to the correct fields, even when field names differ significantly between systems, by understanding the semantic meaning of the data.
+
Can it map to our specific database schema?
Yes. You provide the agent with your new system's database schema and field definitions. The agent then intelligently maps legacy data to the correct fields, even when field names differ significantly between systems, by understanding the semantic meaning of the data.
+
What happens when data doesn't fit the new schema?
The agent flags any data that cannot be directly mapped or requires transformation. It provides detailed reports on schema mismatches, suggesting how to handle each case, whether through data transformation, manual review, or schema adjustment.
+
What happens when data doesn't fit the new schema?
The agent flags any data that cannot be directly mapped or requires transformation. It provides detailed reports on schema mismatches, suggesting how to handle each case, whether through data transformation, manual review, or schema adjustment.
+
What happens when data doesn't fit the new schema?
The agent flags any data that cannot be directly mapped or requires transformation. It provides detailed reports on schema mismatches, suggesting how to handle each case, whether through data transformation, manual review, or schema adjustment.
+
How does it ensure data integrity during migration?
The agent performs comprehensive validation checks, including referential integrity verification, data type validation, required field completeness, and duplicate detection. Every extracted value is linked back to its source document for verification.
+
How does it ensure data integrity during migration?
The agent performs comprehensive validation checks, including referential integrity verification, data type validation, required field completeness, and duplicate detection. Every extracted value is linked back to its source document for verification.
+
How does it ensure data integrity during migration?
The agent performs comprehensive validation checks, including referential integrity verification, data type validation, required field completeness, and duplicate detection. Every extracted value is linked back to its source document for verification.
+
Can it handle relationships between different data entities?
Absolutely. The agent understands relationships between policies, customers, claims, and other entities. It preserves these relationships during migration and flags any orphaned records or broken references that need attention.
+
Can it handle relationships between different data entities?
Absolutely. The agent understands relationships between policies, customers, claims, and other entities. It preserves these relationships during migration and flags any orphaned records or broken references that need attention.
+
Can it handle relationships between different data entities?
Absolutely. The agent understands relationships between policies, customers, claims, and other entities. It preserves these relationships during migration and flags any orphaned records or broken references that need attention.
+
What is the final output format?
The agent delivers migration-ready data in your preferred format, typically CSV, JSON, or direct database import scripts. It also provides comprehensive validation reports, field mapping documentation, and exception logs for your review before final import.
+
What is the final output format?
The agent delivers migration-ready data in your preferred format, typically CSV, JSON, or direct database import scripts. It also provides comprehensive validation reports, field mapping documentation, and exception logs for your review before final import.
+
What is the final output format?
The agent delivers migration-ready data in your preferred format, typically CSV, JSON, or direct database import scripts. It also provides comprehensive validation reports, field mapping documentation, and exception logs for your review before final import.
+
Next steps
Next steps
Staring at thousands of legacy records that need migration?
Send us a sample export from your legacy system, and we'll show you how our agent can map, validate, and prepare it for import in hours instead of months.
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:
