90% ROI increase

AI Business Analytics Agent

Pull metrics from all your systems and documents

V7 Go's AI business analytics agent connects to Salesforce, Hubspot, QuickBooks, ERP systems, databases, and documents to extract revenue growth, CAC, NPS scores, and other KPIs. Get consistent metrics regardless of where your data lives.

Shareholder agreement review

  • Mercedes-Benz logo
    SMC  logo
    Philips logo
    Bayer Logo
    Mars Logo
    Roche logo
    Sony logo
    Alaris logo

See AI Business Intelligence & Analytics in action

Play video

Shareholder agreement review

  • Mercedes-Benz logo
    SMC  logo
    Philips logo
    Bayer Logo
    Mars Logo
    Roche logo
    Sony logo
    Alaris logo

See AI Business Intelligence & Analytics in action

Play video

Shareholder agreement review

  • Mercedes-Benz logo
    SMC  logo
    Philips logo
    Bayer Logo
    Mars Logo
    Roche logo
    Sony logo
    Alaris logo

See AI Business Intelligence & Analytics in action

Play video

Shareholder agreement review

  • Mercedes-Benz logo
    SMC  logo
    Philips logo
    Bayer Logo
    Mars Logo
    Roche logo
    Sony logo
    Alaris logo

See AI Business Intelligence & Analytics in action

Play video

Time comparison

Time comparison

Traditional way

10-15 hours per reporting cycle

10-15 hours per reporting cycle

With V7 Go agents

30-45 minutes per reporting cycle

30-45 minutes per reporting cycle

Average time saved

92-95%

92-95%

Why V7 Go

Why V7 Go

KPI Tracking

Extract key performance indicators from multiple sources including CRM records, ERP data, financial systems, databases, and business documents. The AI agent creates consistent measurement of revenue growth, profit margins, and customer metrics across platforms and time periods.

KPI Tracking

Extract key performance indicators from multiple sources including CRM records, ERP data, financial systems, databases, and business documents. The AI agent creates consistent measurement of revenue growth, profit margins, and customer metrics across platforms and time periods.

KPI Tracking

Extract key performance indicators from multiple sources including CRM records, ERP data, financial systems, databases, and business documents. The AI agent creates consistent measurement of revenue growth, profit margins, and customer metrics across platforms and time periods.

KPI Tracking

Extract key performance indicators from multiple sources including CRM records, ERP data, financial systems, databases, and business documents. The AI agent creates consistent measurement of revenue growth, profit margins, and customer metrics across platforms and time periods.

Trend Analysis

AI-powered identification of patterns by analyzing data across disconnected systems and formats. Detect emerging trends in customer behavior, sales performance, and operational efficiency that remain hidden when looking at individual data sources in isolation.

Trend Analysis

AI-powered identification of patterns by analyzing data across disconnected systems and formats. Detect emerging trends in customer behavior, sales performance, and operational efficiency that remain hidden when looking at individual data sources in isolation.

Trend Analysis

AI-powered identification of patterns by analyzing data across disconnected systems and formats. Detect emerging trends in customer behavior, sales performance, and operational efficiency that remain hidden when looking at individual data sources in isolation.

Trend Analysis

AI-powered identification of patterns by analyzing data across disconnected systems and formats. Detect emerging trends in customer behavior, sales performance, and operational efficiency that remain hidden when looking at individual data sources in isolation.

Performance Measurement

Compare actual results against forecasts, budgets, and prior periods by pulling data from planning systems, financial platforms, and reporting tools. The AI agent standardizes calculations to eliminate inconsistencies in how different departments measure the same metrics.

Performance Measurement

Compare actual results against forecasts, budgets, and prior periods by pulling data from planning systems, financial platforms, and reporting tools. The AI agent standardizes calculations to eliminate inconsistencies in how different departments measure the same metrics.

Performance Measurement

Compare actual results against forecasts, budgets, and prior periods by pulling data from planning systems, financial platforms, and reporting tools. The AI agent standardizes calculations to eliminate inconsistencies in how different departments measure the same metrics.

Performance Measurement

Compare actual results against forecasts, budgets, and prior periods by pulling data from planning systems, financial platforms, and reporting tools. The AI agent standardizes calculations to eliminate inconsistencies in how different departments measure the same metrics.

Multi-source Data Analysis

Connect to CRMs (Salesforce, Hubspot), ERPs (SAP, NetSuite), financial systems (QuickBooks, Xero), databases, spreadsheets, presentations, and web sources. Analyze both structured data from systems and unstructured information from documents and web content.

Multi-source Data Analysis

Connect to CRMs (Salesforce, Hubspot), ERPs (SAP, NetSuite), financial systems (QuickBooks, Xero), databases, spreadsheets, presentations, and web sources. Analyze both structured data from systems and unstructured information from documents and web content.

Multi-source Data Analysis

Connect to CRMs (Salesforce, Hubspot), ERPs (SAP, NetSuite), financial systems (QuickBooks, Xero), databases, spreadsheets, presentations, and web sources. Analyze both structured data from systems and unstructured information from documents and web content.

Multi-source Data Analysis

Connect to CRMs (Salesforce, Hubspot), ERPs (SAP, NetSuite), financial systems (QuickBooks, Xero), databases, spreadsheets, presentations, and web sources. Analyze both structured data from systems and unstructured information from documents and web content.

Cross-platform Metric Tracking

Monitor specific business metrics consistently even when the underlying data spans multiple systems. Create a single source of truth for NPS scores, customer acquisition costs, inventory levels, and operational KPIs regardless of where the source data resides.

Cross-platform Metric Tracking

Monitor specific business metrics consistently even when the underlying data spans multiple systems. Create a single source of truth for NPS scores, customer acquisition costs, inventory levels, and operational KPIs regardless of where the source data resides.

Cross-platform Metric Tracking

Monitor specific business metrics consistently even when the underlying data spans multiple systems. Create a single source of truth for NPS scores, customer acquisition costs, inventory levels, and operational KPIs regardless of where the source data resides.

Cross-platform Metric Tracking

Monitor specific business metrics consistently even when the underlying data spans multiple systems. Create a single source of truth for NPS scores, customer acquisition costs, inventory levels, and operational KPIs regardless of where the source data resides.

Integrated Performance Monitoring

Get early warning of issues by analyzing data across departmental boundaries. Identify when marketing metrics, sales performance, and financial indicators show misalignment or concerning patterns that wouldn't be visible when looking at each system separately.

Integrated Performance Monitoring

Get early warning of issues by analyzing data across departmental boundaries. Identify when marketing metrics, sales performance, and financial indicators show misalignment or concerning patterns that wouldn't be visible when looking at each system separately.

Integrated Performance Monitoring

Get early warning of issues by analyzing data across departmental boundaries. Identify when marketing metrics, sales performance, and financial indicators show misalignment or concerning patterns that wouldn't be visible when looking at each system separately.

Integrated Performance Monitoring

Get early warning of issues by analyzing data across departmental boundaries. Identify when marketing metrics, sales performance, and financial indicators show misalignment or concerning patterns that wouldn't be visible when looking at each system separately.

Connect to CRMs, ERPs, financial software, and databases.

Get unified sales performance, customer, and product metrics.

Get started

Get started

SAP

Import your files

Salesforce

,

SAP

,

Power BI

Import your files from whereever they are currently stored

CRM Systems (Salesforce, Hubspot)

CRM Systems (Salesforce, Hubspot)

Business Intelligence Tools (Tableau, Power BI)

Business Intelligence Tools (Tableau, Power BI)

ERP Platforms (SAP, NetSuite)

ERP Platforms (SAP, NetSuite)

Spreadsheets and Presentations

Spreadsheets and Presentations

Financial Software (QuickBooks, Xero)

Financial Software (QuickBooks, Xero)

Databases and APIs

Databases and APIs

All types of Business documents supported

Revenue and sales performance

Revenue and sales performance

Customer acquisition and retention metrics

Customer acquisition and retention metrics

Product profitability and margins

Product profitability and margins

Marketing campaign effectiveness

Marketing campaign effectiveness

Operational efficiency indicators

Operational efficiency indicators

Financial health and cash flow metrics

Financial health and cash flow metrics

Inventory and supply chain performance

Inventory and supply chain performance

Employee productivity and engagement

Employee productivity and engagement

Customer satisfaction and feedback data

Customer satisfaction and feedback data

Market share and competitive positioning

Market share and competitive positioning

Item 01

Item 01

Once imported our system extracts and organises the essentials

Customer Voices

Customer Voices

Building trustworthy AI, trained on your data.
Join the world's best teams and Fortune 500s.

Building trustworthy AI. Join the world's best teams and Fortune 500s.

Healthcare

Finance

Legal

Insurance

Logistics

Biotechnology

Manufacturing

Real Estate

Healthcare

Finance

Legal

Insurance

Logistics

Biotechnology

Manufacturing

Real Estate

Healthcare

Finance

Legal

Insurance

Logistics

Biotechnology

Manufacturing

Real Estate

Customer Voices

Finance

Alaris logo

The experience with V7 has been fantastic. Very customized level of support. You feel like they really care about your outcome and objectives.

Read the full story

Finance

Alaris logo

The experience with V7 has been fantastic. Very customized level of support. You feel like they really care about your outcome and objectives.

Read the full story

Healthcare

Franklin AI logo

The configurability and extensive API interface of V7 has enabled us to quickly create, customise, deploy and make changes to our labelling processes all through automated communications with our own backend tooling.

Read the full story

Healthcare

Franklin AI logo

The configurability and extensive API interface of V7 has enabled us to quickly create, customise, deploy and make changes to our labelling processes all through automated communications with our own backend tooling.

Read the full story

Automotive

Miovision Logo

"We chose V7 because we wanted to build new types of workflows. We had our own system, but we wanted it to accomplish additional tasks, like create other annotation types, re-annotations, annotations on videos—activities that would be a lot of effort in development."

Read the full story

Automotive

Miovision Logo

"We chose V7 because we wanted to build new types of workflows. We had our own system, but we wanted it to accomplish additional tasks, like create other annotation types, re-annotations, annotations on videos—activities that would be a lot of effort in development."

Read the full story

Automotive

Digital divide logo

“We tried multiple other annotation providers, but none matched the accuracy and time savings of V7 and DDD working together.”

Read the full story

Automotive

Digital divide logo

“We tried multiple other annotation providers, but none matched the accuracy and time savings of V7 and DDD working together.”

Read the full story

Agriculture

University of Lincoln logo

"We needed a tool that could do annotating and data versioning because we distribute our tools to farms, and we need to make sure that they have the same version of data for the same models."

Read the full story

Agriculture

University of Lincoln logo

"We needed a tool that could do annotating and data versioning because we distribute our tools to farms, and we need to make sure that they have the same version of data for the same models."

Read the full story

Healthcare

Velmeni logo

“I have worked with 600+ vendors in my life. I always look at good technology, stable company, good people, and how much a vendor is invested in your success. I found all of those things with V7.”

Read the full story

Healthcare

Velmeni logo

“I have worked with 600+ vendors in my life. I always look at good technology, stable company, good people, and how much a vendor is invested in your success. I found all of those things with V7.”

Read the full story

Software

Yembo AI logo

“V7 made it possible to build a dataset we couldn't build before—fast. It’s been a real level change.”

Read the full story

Software

Yembo AI logo

“V7 made it possible to build a dataset we couldn't build before—fast. It’s been a real level change.”

Read the full story

Agriculture

Cattle Eye Logo

"V7 is really easy to use and has great customer support—bugs are fixed, email support is very fast, and feature requests are delivered as promised."

Read the full story

Agriculture

Cattle Eye Logo

"V7 is really easy to use and has great customer support—bugs are fixed, email support is very fast, and feature requests are delivered as promised."

Read the full story

Healthcare

Genmab Logo

"We use V7 for digital pathology image annotation - it streamlines the process so that we can get the data in the easy-to-parse format for ML purposes."

Read the full story

Healthcare

Genmab Logo

"We use V7 for digital pathology image annotation - it streamlines the process so that we can get the data in the easy-to-parse format for ML purposes."

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.

From handwritten notes to complex graphs, V7 Go reads and understands them all—even when layouts shift across documents. Process hundreds of documents and pages, transforming them into structured outputs with task-based workflows you can customize or build from scratch.

Input types

50+ languages

Handwritten

200 pages

Multi-modal

Document types

PDFs

URL

Tables

Graphs

Speadsheets

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.
Up to 200 pages.

From handwritten notes to complex graphs, V7 Go reads and understands them all—even when layouts shift across documents. Process hundreds of documents and pages, transforming them into structured outputs with task-based workflows you can customize or build from scratch.

Input types

50+ languages

Handwritten

200 pages

Multi-modal

Document types

PDFs

URL

Tables

Graphs

Speadsheets

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.
Up to 200 pages.

From handwritten notes to complex graphs, V7 Go reads and understands them all—even when layouts shift across documents. Process hundreds of documents and pages, transforming them into structured outputs with task-based workflows you can customize or build from scratch.

Input types

50+ languages

Handwritten

200 pages

Multi-modal

Document types

PDFs

URL

Tables

Graphs

Speadsheets

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate through GenAI reasoning.

Break down complex document processing into discrete steps. Choose from top GenAI models, OCR tools, custom Python code, or integrate your own model to achieve fast, accurate, and reliable results with outputs you can trust.

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

Off

Low

Mid

High

AI Citations

Inputs

Set a prompt (Press @ to mention an input)

Reach 99% accuracy rate through GenAI reasoning.

Break down complex document processing into discrete steps. Choose from top GenAI models, OCR tools, custom Python code, or integrate your own model to achieve fast, accurate, and reliable results with outputs you can trust.

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

Off

Low

Mid

High

AI Citations

Inputs

Set a prompt (Press @ to mention an input)

Reach 99% accuracy rate through GenAI reasoning.

Break down complex document processing into discrete steps. Choose from top GenAI models, OCR tools, custom Python code, or integrate your own model to achieve fast, accurate, and reliable results with outputs you can trust.

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

Off

Low

Mid

High

AI Citations

Inputs

Set a prompt (Press @ to mention an input)

Trustworthy results,


grounded in reality.

You can verify if AI-generated responses are true and which excerpts they were based on. AI models in V7 Go automatically highlight source areas in your documents. Human reviewers can focus their time on results with lower confidence scores and make corrections when needed.

Visual grouding 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.

You can verify if AI-generated responses are true and which excerpts they were based on. AI models in V7 Go automatically highlight source areas in your documents. Human reviewers can focus their time on results with lower confidence scores and make corrections when needed.

Visual grouding 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.

You can verify if AI-generated responses are true and which excerpts they were based on. AI models in V7 Go automatically highlight source areas in your documents. Human reviewers can focus their time on results with lower confidence scores and make corrections when needed.

Visual grouding 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.

Integrate V7 seamlessly with your existing tech stack. Our platform connects to your cloud infrastructure and ML frameworks while ensuring robust data security and compliance with rigorous standards.

Certifications

GPDR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security for high-stake industries.

Integrate V7 seamlessly with your existing tech stack. Our platform connects to your cloud infrastructure and ML frameworks while ensuring robust data security and compliance with rigorous standards.

Certifications

GPDR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security
for high-stake industries.

Integrate V7 seamlessly with your existing tech stack. Our platform connects to your cloud infrastructure and ML frameworks while ensuring robust data security and compliance with rigorous standards.

Certifications

GPDR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Pilot

Pilot

Curious how we can realise 90% ROI increase for you?

Send us a few samples, and we’ll deliver a custom demo with results—within 48 hours.

Send us a few samples, and we’ll deliver a custom demo with results—within 48 hours.

Send us a few samples, and we’ll deliver a custom demo with results—within 48 hours.

You’ll hear back in less than 24 hours

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

V7 Go

V7 Go

AI solutions

for business professionals

Business teams spend 15+ hours weekly piecing together data from disconnected sources—CRMs, ERPs, spreadsheets, presentations, and analytics platforms—creating inconsistent views of performance. Critical insights remain buried in siloed systems, departments use different calculation methods for the same metrics, and decision-makers can't trust the numbers they receive. V7 Go's AI business analytics agent connects to multiple data sources, extracts consistent metrics, identifies meaningful trends, and delivers reliable performance measurement across your entire organization.

Business Intelligence Teams

Connect all your data sources without building and maintaining dozens of custom integrations. Let AI normalize metrics across systems so you can focus on insights instead of data preparation.

Business Intelligence Teams

Connect all your data sources without building and maintaining dozens of custom integrations. Let AI normalize metrics across systems so you can focus on insights instead of data preparation.

Business Intelligence Teams

Connect all your data sources without building and maintaining dozens of custom integrations. Let AI normalize metrics across systems so you can focus on insights instead of data preparation.

Executive Leadership

Get consistent answers regardless of which department or system holds the data. Make decisions with confidence knowing all your metrics are calculated consistently across the organization.

Executive Leadership

Get consistent answers regardless of which department or system holds the data. Make decisions with confidence knowing all your metrics are calculated consistently across the organization.

Executive Leadership

Get consistent answers regardless of which department or system holds the data. Make decisions with confidence knowing all your metrics are calculated consistently across the organization.

Testimonials

Testimonials

Secure and trustworthy AI.
Hear what customers say.

Secure and trustworthy AI.
Hear what customers say.

Increase in Processing Speed

21x

Processing financial statements 21x faster while also increasing accuracy by 54% and significantly reducing labor costs.

Specialized Asset Management Firm

SMC logo

Document Type

20+ Page Reports

We use Collections on V7 Go to automate completion of our 20-page safety inspection reports. The system analyzes photos and supporting documentation and returns structured data for each question. It saves us hours on each report.

Ryan Ziegler

CEO of Certainty Software

Certainty Software logo

Deploying complex AI workflows across large volumes of documents with V7 Go to increase accuracy, scale, and quality of legal services.

International Law Firm

Increase in Processing Speed

21x

Processing financial statements 21x faster while also increasing accuracy by 54% and significantly reducing labor costs.

Specialized Asset Management Firm

SMC logo

Document Type

20+ Page Reports

We use Collections on V7 Go to automate completion of our 20-page safety inspection reports. The system analyzes photos and supporting documentation and returns structured data for each question. It saves us hours on each report.

Ryan Ziegler

CEO of Certainty Software

Certainty Software logo

Deploying complex AI workflows across large volumes of documents with V7 Go to increase accuracy, scale, and quality of legal services.

International Law Firm

Increase in Processing Speed

21x

Processing financial statements 21x faster while also increasing accuracy by 54% and significantly reducing labor costs.

Specialized Asset Management Firm

SMC logo

Document Type

20+ Page Reports

We use Collections on V7 Go to automate completion of our 20-page safety inspection reports. The system analyzes photos and supporting documentation and returns structured data for each question. It saves us hours on each report.

Ryan Ziegler

CEO of Certainty Software

Certainty Software logo

Deploying complex AI workflows across large volumes of documents with V7 Go to increase accuracy, scale, and quality of legal services.

International Law Firm

Answers

Answers

What you need to know about our

AI Business Intelligence & Analytics

How does the AI analytics agent connect to our various business systems?

The AI agent integrates with your data ecosystem through multiple methods: direct API connections to major business platforms (Salesforce, SAP, NetSuite, Hubspot), database connections (SQL, MongoDB, PostgreSQL), pre-built connectors for analytics tools (Tableau, Power BI, Looker), and file access for document repositories. It can pull data from cloud storage services (Google Drive, SharePoint, Box), email systems, and web sources. The agent maintains secure credentials and connection parameters for each system, enabling it to refresh data regularly without manual intervention. Most customers connect their first 3-5 data sources within one week of implementation.

+

How does the AI analytics agent connect to our various business systems?

The AI agent integrates with your data ecosystem through multiple methods: direct API connections to major business platforms (Salesforce, SAP, NetSuite, Hubspot), database connections (SQL, MongoDB, PostgreSQL), pre-built connectors for analytics tools (Tableau, Power BI, Looker), and file access for document repositories. It can pull data from cloud storage services (Google Drive, SharePoint, Box), email systems, and web sources. The agent maintains secure credentials and connection parameters for each system, enabling it to refresh data regularly without manual intervention. Most customers connect their first 3-5 data sources within one week of implementation.

+

How does the AI analytics agent connect to our various business systems?

The AI agent integrates with your data ecosystem through multiple methods: direct API connections to major business platforms (Salesforce, SAP, NetSuite, Hubspot), database connections (SQL, MongoDB, PostgreSQL), pre-built connectors for analytics tools (Tableau, Power BI, Looker), and file access for document repositories. It can pull data from cloud storage services (Google Drive, SharePoint, Box), email systems, and web sources. The agent maintains secure credentials and connection parameters for each system, enabling it to refresh data regularly without manual intervention. Most customers connect their first 3-5 data sources within one week of implementation.

+

Can the AI agent reconcile different definitions of the same metric across our systems?

Yes, the AI agent excels at standardizing metrics that are calculated differently across systems and departments. It recognizes when your CRM defines "qualified lead" differently than your marketing platform, or when Finance calculates customer acquisition cost using different components than the Sales team. The agent creates a consistent calculation framework that maps data elements from each source to produce standardized metrics. This approach eliminates the common problem of executives receiving different answers to the same question depending on which system or department provided the data.

+

Can the AI agent reconcile different definitions of the same metric across our systems?

Yes, the AI agent excels at standardizing metrics that are calculated differently across systems and departments. It recognizes when your CRM defines "qualified lead" differently than your marketing platform, or when Finance calculates customer acquisition cost using different components than the Sales team. The agent creates a consistent calculation framework that maps data elements from each source to produce standardized metrics. This approach eliminates the common problem of executives receiving different answers to the same question depending on which system or department provided the data.

+

Can the AI agent reconcile different definitions of the same metric across our systems?

Yes, the AI agent excels at standardizing metrics that are calculated differently across systems and departments. It recognizes when your CRM defines "qualified lead" differently than your marketing platform, or when Finance calculates customer acquisition cost using different components than the Sales team. The agent creates a consistent calculation framework that maps data elements from each source to produce standardized metrics. This approach eliminates the common problem of executives receiving different answers to the same question depending on which system or department provided the data.

+

How does the AI agent combine structured data from our systems with unstructured information from documents?

The AI agent bridges structured and unstructured data sources through contextual understanding. It can extract quantitative data from CRM fields or database tables while also identifying relevant metrics buried in board presentations, analyst reports, or strategy documents. For example, it might combine actual sales figures from your ERP with growth projections from planning documents and market size estimates from industry reports. This comprehensive approach provides context that's missing when analyzing only structured data, while adding precision that's lacking when reviewing only documents.

+

How does the AI agent combine structured data from our systems with unstructured information from documents?

The AI agent bridges structured and unstructured data sources through contextual understanding. It can extract quantitative data from CRM fields or database tables while also identifying relevant metrics buried in board presentations, analyst reports, or strategy documents. For example, it might combine actual sales figures from your ERP with growth projections from planning documents and market size estimates from industry reports. This comprehensive approach provides context that's missing when analyzing only structured data, while adding precision that's lacking when reviewing only documents.

+

How does the AI agent combine structured data from our systems with unstructured information from documents?

The AI agent bridges structured and unstructured data sources through contextual understanding. It can extract quantitative data from CRM fields or database tables while also identifying relevant metrics buried in board presentations, analyst reports, or strategy documents. For example, it might combine actual sales figures from your ERP with growth projections from planning documents and market size estimates from industry reports. This comprehensive approach provides context that's missing when analyzing only structured data, while adding precision that's lacking when reviewing only documents.

+

Can the AI analytics agent push insights back into our business systems?

Yes, the AI agent operates bidirectionally with your business systems. It can not only extract data but also enrich your platforms with the insights it generates. For example, it can flag accounts in your CRM that show churn risk indicators, update your ERP with inventory optimization recommendations, or populate your BI dashboards with trend data and forecasts. This closed-loop capability ensures insights don't remain isolated in reports but actually drive action within your operational systems. The agent's API allows custom integration patterns tailored to your specific workflow requirements.

+

Can the AI analytics agent push insights back into our business systems?

Yes, the AI agent operates bidirectionally with your business systems. It can not only extract data but also enrich your platforms with the insights it generates. For example, it can flag accounts in your CRM that show churn risk indicators, update your ERP with inventory optimization recommendations, or populate your BI dashboards with trend data and forecasts. This closed-loop capability ensures insights don't remain isolated in reports but actually drive action within your operational systems. The agent's API allows custom integration patterns tailored to your specific workflow requirements.

+

Can the AI analytics agent push insights back into our business systems?

Yes, the AI agent operates bidirectionally with your business systems. It can not only extract data but also enrich your platforms with the insights it generates. For example, it can flag accounts in your CRM that show churn risk indicators, update your ERP with inventory optimization recommendations, or populate your BI dashboards with trend data and forecasts. This closed-loop capability ensures insights don't remain isolated in reports but actually drive action within your operational systems. The agent's API allows custom integration patterns tailored to your specific workflow requirements.

+

How does the AI agent handle our proprietary internal metrics and calculations?

The AI agent learns your organization's specific metrics, calculations, and terminology through a combination of example-based training and explicit rules. For unique metrics like custom health scores, proprietary profitability calculations, or industry-specific KPIs, you can show the agent where these metrics appear in your systems and documents. The agent creates a knowledge graph of your business language and calculation methods, continuously improving its understanding as it processes more of your data. This customization ensures the agent speaks your business language rather than forcing you to adapt to generic analytics frameworks.

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How does the AI agent handle our proprietary internal metrics and calculations?

The AI agent learns your organization's specific metrics, calculations, and terminology through a combination of example-based training and explicit rules. For unique metrics like custom health scores, proprietary profitability calculations, or industry-specific KPIs, you can show the agent where these metrics appear in your systems and documents. The agent creates a knowledge graph of your business language and calculation methods, continuously improving its understanding as it processes more of your data. This customization ensures the agent speaks your business language rather than forcing you to adapt to generic analytics frameworks.

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How does the AI agent handle our proprietary internal metrics and calculations?

The AI agent learns your organization's specific metrics, calculations, and terminology through a combination of example-based training and explicit rules. For unique metrics like custom health scores, proprietary profitability calculations, or industry-specific KPIs, you can show the agent where these metrics appear in your systems and documents. The agent creates a knowledge graph of your business language and calculation methods, continuously improving its understanding as it processes more of your data. This customization ensures the agent speaks your business language rather than forcing you to adapt to generic analytics frameworks.

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How does the AI analytics agent maintain data security when accessing our sensitive business systems?

The AI agent follows enterprise-grade security protocols for all system connections. It uses OAuth, API keys, or other secure authentication methods without storing plaintext credentials. All data transfers are encrypted both in transit and at rest, with SOC 2 Type II and ISO 27001 compliance. Role-based permissions control which metrics and data sources are accessible to different user groups. For highly sensitive financial or customer data, on-premises deployment options keep your information within your security perimeter. The agent maintains detailed access logs for all data source interactions, providing complete audit trails for compliance requirements.

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How does the AI analytics agent maintain data security when accessing our sensitive business systems?

The AI agent follows enterprise-grade security protocols for all system connections. It uses OAuth, API keys, or other secure authentication methods without storing plaintext credentials. All data transfers are encrypted both in transit and at rest, with SOC 2 Type II and ISO 27001 compliance. Role-based permissions control which metrics and data sources are accessible to different user groups. For highly sensitive financial or customer data, on-premises deployment options keep your information within your security perimeter. The agent maintains detailed access logs for all data source interactions, providing complete audit trails for compliance requirements.

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How does the AI analytics agent maintain data security when accessing our sensitive business systems?

The AI agent follows enterprise-grade security protocols for all system connections. It uses OAuth, API keys, or other secure authentication methods without storing plaintext credentials. All data transfers are encrypted both in transit and at rest, with SOC 2 Type II and ISO 27001 compliance. Role-based permissions control which metrics and data sources are accessible to different user groups. For highly sensitive financial or customer data, on-premises deployment options keep your information within your security perimeter. The agent maintains detailed access logs for all data source interactions, providing complete audit trails for compliance requirements.

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Next Step

Next Step

Stop piecing together metrics from disconnected systems and documents

Stop piecing together metrics from disconnected systems and documents

Stop piecing together metrics from disconnected systems and documents

Get consistent business intelligence from all your data sources

Get consistent business intelligence from all your data sources

Get consistent business intelligence from all your data sources

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Uncover hidden liabilities

in

supplier contracts.

V7 Go transforms documents into strategic assets. 150+ enterprises are already on board:

  • Mercedes-Benz logo
    SMC  logo
    Philips logo
    Bayer Logo
    Mars Logo
    Roche logo
    Sony logo
    Alaris logo

Uncover hidden liabilities

in

supplier contracts.

V7 Go transforms documents into strategic assets. 150+ enterprises are already on board:

  • Mercedes-Benz logo
    SMC  logo
    Philips logo
    Bayer Logo
    Mars Logo
    Roche logo
    Sony logo
    Alaris logo