90% faster reporting

AI agent for Regulatory Reporting Analysts

AI agent for Regulatory Reporting Analysts

AI agent for Regulatory Reporting Analysts

AI agent for Regulatory Reporting Analysts

From weeks of field mapping to hours

From weeks of field mapping to hours

From weeks of field mapping to hours

From weeks of field mapping to hours

Delegate regulatory field mapping to a specialized AI agent. It reads your internal transaction data, maps fields to Basel III and Dodd-Frank requirements, validates data lineage, and generates submission-ready reports with complete audit trails.

Ideal for

Regulatory Reporting

Compliance Teams

Risk Management

  • Mercedes-Benz logo
    SMC  logo
    Gradient rectangle
    Centerline logo
    Abstract graphic with black and white elements
    Abstract pattern with overlapping shapes.
    Alaris logo
    Progress bar with text at bottom percentage
    SITO logo
    Diagonal stripes on a rectangular background
    SVG logo for Reddit
    Grey and black abstract symbol
    Foobar logo
    ABL logo
    SVG logo for Google
    Bar chart with two bars of different heights
    Brotherhood Mutual logo
    Black and white abstract graphic.
    Paige logo
    Roche logo
    Logo with abstract shapes and text.
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Light gray waveform pattern on white background
    SVG logo with black letters
    Abstract pattern with blue and green colors

See AI agent for Regulatory Reporting Analysts in action

Play video

Q3 Basel III Submission

  • Mercedes-Benz logo
    SMC  logo
    Gradient rectangle
    Centerline logo
    Abstract graphic with black and white elements
    Abstract pattern with overlapping shapes.
    Alaris logo
    Progress bar with text at bottom percentage
    SITO logo
    Diagonal stripes on a rectangular background
    SVG logo for Reddit
    Grey and black abstract symbol
    Foobar logo
    ABL logo
    SVG logo for Google
    Bar chart with two bars of different heights
    Brotherhood Mutual logo
    Black and white abstract graphic.
    Paige logo
    Roche logo
    Logo with abstract shapes and text.
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Light gray waveform pattern on white background
    SVG logo with black letters
    Abstract pattern with blue and green colors

See AI agent for Regulatory Reporting Analysts in action

Play video

  • Mercedes-Benz logo
    SMC  logo
    Gradient rectangle
    Centerline logo
    Abstract graphic with black and white elements
    Abstract pattern with overlapping shapes.
    Alaris logo
    Progress bar with text at bottom percentage
    SITO logo
    Diagonal stripes on a rectangular background
    SVG logo for Reddit
    Grey and black abstract symbol
    Foobar logo
    ABL logo
    SVG logo for Google
    Bar chart with two bars of different heights
    Brotherhood Mutual logo
    Black and white abstract graphic.
    Paige logo
    Roche logo
    Logo with abstract shapes and text.
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Light gray waveform pattern on white background
    SVG logo with black letters
    Abstract pattern with blue and green colors

See AI agent for Regulatory Reporting Analysts in action

Play video

Time comparison

Traditional way

2-3 weeks per submission

With V7 Go agents

4-6 hours

Average time saved

90%

Why V7 Go

Automated Field Mapping

Reads internal transaction data and automatically maps fields to Basel III, Dodd-Frank, or other regulatory schemas, eliminating manual reconciliation work.

Automated Field Mapping

Reads internal transaction data and automatically maps fields to Basel III, Dodd-Frank, or other regulatory schemas, eliminating manual reconciliation work.

Data Lineage Validation

Traces every mapped field back to its source system and transaction, creating a complete audit trail that satisfies regulatory examination requirements.

Data Lineage Validation

Traces every mapped field back to its source system and transaction, creating a complete audit trail that satisfies regulatory examination requirements.

Schema Change Detection

Identifies when internal data schemas change and flags fields requiring remapping, preventing submission errors from outdated field definitions.

Schema Change Detection

Identifies when internal data schemas change and flags fields requiring remapping, preventing submission errors from outdated field definitions.

Multi-Jurisdiction Support

Handles regulatory requirements across jurisdictions, mapping the same transaction data to different reporting standards for global institutions.

Multi-Jurisdiction Support

Handles regulatory requirements across jurisdictions, mapping the same transaction data to different reporting standards for global institutions.

Exception Flagging

Identifies transactions that cannot be automatically mapped due to ambiguous codes or missing data, routing them to analysts for manual classification.

Exception Flagging

Identifies transactions that cannot be automatically mapped due to ambiguous codes or missing data, routing them to analysts for manual classification.

Submission File Generation

Produces submission-ready files in the exact format required by regulators, including all mandatory fields, validation checks, and data quality controls.

Submission File Generation

Produces submission-ready files in the exact format required by regulators, including all mandatory fields, validation checks, and data quality controls.

Maps transaction data to regulatory schemas

For accurate, auditable government filings.

Precision AI

AI for multi-billion dollar workflows

V7 built the Operating System for financial decisions. A new standard for institutional intelligence built for high-stakes financial decisions.

Precision AI

AI for multi-billion dollar workflows

V7 built the Operating System for financial decisions. A new standard for institutional intelligence built for high-stakes financial decisions.

Precision AI

AI for multi-billion dollar workflows

V7 built the Operating System for financial decisions. A new standard for institutional intelligence built for high-stakes financial decisions.

Features

Features

Results you can actually trust.
Reliable AI document processing toolkit.

Results you can trust.
Trustworthy AI document processing toolkit.

Supporting complex data formats.

From any source system.

Regulatory data comes from multiple core systems with different schemas. This agent handles transaction files from any source, whether they're CSV exports, database queries, or legacy system outputs, and maps them to regulatory requirements.

Input types

Multi-System Sources

Schema Variations

Legacy Formats

Multi-modal

Document types

CSV Files

Database Exports

Complex Tables

XML Files

Spreadsheets

Vendor_US.xlsx

12

Supply_2023.pptx

Review_Legal.pdf

Supporting complex data formats.

From any source system.

Regulatory data comes from multiple core systems with different schemas. This agent handles transaction files from any source, whether they're CSV exports, database queries, or legacy system outputs, and maps them to regulatory requirements.

Input types

Multi-System Sources

Schema Variations

Legacy Formats

Multi-modal

Document types

CSV Files

Database Exports

Complex Tables

XML Files

Spreadsheets

Vendor_US.xlsx

12

Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate

through GenAI reasoning.

Regulatory submissions demand perfect accuracy. The agent uses multi-step validation workflows to ensure every mapped field is correct, every calculation is precise, and every data point can be traced to its source transaction.

Model providers

OpenAI, Anthropic, Gemini logos

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.

Regulatory submissions demand perfect accuracy. The agent uses multi-step validation workflows to ensure every mapped field is correct, every calculation is precise, and every data point can be traced to its source transaction.

Model providers

OpenAI, Anthropic, Gemini logos

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 mapped field is linked to its source transaction with complete data lineage. Regulators can trace any reported value back through the mapping logic to the original system of record, creating a defensible audit trail.

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 mapped field is linked to its source transaction with complete data lineage. Regulators can trace any reported value back through the mapping logic to the original system of record, creating a defensible audit trail.

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.

Regulatory data contains sensitive financial information subject to strict data governance requirements. V7 Go processes all transaction data within your secure environment, ensuring compliance with data residency and privacy regulations.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security

for high-stake industries.

Regulatory data contains sensitive financial information subject to strict data governance requirements. V7 Go processes all transaction data within your secure environment, ensuring compliance with data residency and privacy regulations.

Certifications

GPDR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

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Enterprise-grade security

Your data stays yours—always. Work with one of the few AI companies that never trains on your data.

  • No training on your data

  • Encrypted end-to-end

  • Audited and penetration-tested

  • Fine-grained access controls

  • Inhouse security team

  • Audit logs across every workflow

Enterprise-grade security

Your data stays yours—always. Work with one of the few AI companies that never trains on your data.

  • No training on your data

  • Encrypted end-to-end

  • Audited and penetration-tested

  • Fine-grained access controls

  • Inhouse security team

  • Audit logs across every workflow

Enterprise-grade security

Your data stays yours—always. Work with one of the few AI companies that never trains on your data.

  • No training on your data

  • Encrypted end-to-end

  • Audited and penetration-tested

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Precision AI for Institutional Workflows

Build once.

Deploy across the team.

Improve over time.

About

Build once.

Deploy across the team.

Improve over time.

About

Build once.

Deploy across the team.

Improve over time.