90% faster ESG reporting
AI agent for Sustainability Managers
From weeks of data entry to automated ESG reporting
Delegate utility bill processing to a specialized AI agent. It extracts energy consumption, water usage, and emissions data from any utility invoice format, normalizes the information across your portfolio, and populates GRESB and Energy Star reporting templates automatically.

Ideal for
Sustainability Teams
Property Managers
ESG Analysts

See AI agent for Sustainability Managers in action
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See AI agent for Sustainability Managers in action
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See AI agent for Sustainability Managers in action
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Q1 ESG Data Compilation
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Time comparison
Time comparison
Traditional way
3-4 weeks per quarter
With V7 Go agents
2-3 hours
Average time saved
90%
Why V7 Go
Why V7 Go
Multi-Format Utility Bill Processing
Extracts energy, water, and gas consumption data from any utility provider format, including scanned PDFs, digital invoices, and complex multi-property statements.
Multi-Format Utility Bill Processing
Extracts energy, water, and gas consumption data from any utility provider format, including scanned PDFs, digital invoices, and complex multi-property statements.
Multi-Format Utility Bill Processing
Extracts energy, water, and gas consumption data from any utility provider format, including scanned PDFs, digital invoices, and complex multi-property statements.
Multi-Format Utility Bill Processing
Extracts energy, water, and gas consumption data from any utility provider format, including scanned PDFs, digital invoices, and complex multi-property statements.
Automated GRESB Data Population
Populates GRESB reporting templates directly with normalized energy consumption, emissions calculations, and portfolio-level aggregations required for investor submissions.
Automated GRESB Data Population
Populates GRESB reporting templates directly with normalized energy consumption, emissions calculations, and portfolio-level aggregations required for investor submissions.
Automated GRESB Data Population
Populates GRESB reporting templates directly with normalized energy consumption, emissions calculations, and portfolio-level aggregations required for investor submissions.
Automated GRESB Data Population
Populates GRESB reporting templates directly with normalized energy consumption, emissions calculations, and portfolio-level aggregations required for investor submissions.
Energy Star Portfolio Manager Integration
Formats extracted data to match Energy Star Portfolio Manager requirements, enabling automated benchmarking submissions and certification tracking across your entire portfolio.
Energy Star Portfolio Manager Integration
Formats extracted data to match Energy Star Portfolio Manager requirements, enabling automated benchmarking submissions and certification tracking across your entire portfolio.
Energy Star Portfolio Manager Integration
Formats extracted data to match Energy Star Portfolio Manager requirements, enabling automated benchmarking submissions and certification tracking across your entire portfolio.
Energy Star Portfolio Manager Integration
Formats extracted data to match Energy Star Portfolio Manager requirements, enabling automated benchmarking submissions and certification tracking across your entire portfolio.
Portfolio-Wide Data Normalization
Standardizes consumption metrics across properties with different utility providers, billing cycles, and measurement units for accurate portfolio-level analysis.
Portfolio-Wide Data Normalization
Standardizes consumption metrics across properties with different utility providers, billing cycles, and measurement units for accurate portfolio-level analysis.
Portfolio-Wide Data Normalization
Standardizes consumption metrics across properties with different utility providers, billing cycles, and measurement units for accurate portfolio-level analysis.
Portfolio-Wide Data Normalization
Standardizes consumption metrics across properties with different utility providers, billing cycles, and measurement units for accurate portfolio-level analysis.
Anomaly Detection and Alerts
Identifies unusual consumption patterns, billing errors, and significant period-over-period changes that require investigation or corrective action.
Anomaly Detection and Alerts
Identifies unusual consumption patterns, billing errors, and significant period-over-period changes that require investigation or corrective action.
Anomaly Detection and Alerts
Identifies unusual consumption patterns, billing errors, and significant period-over-period changes that require investigation or corrective action.
Anomaly Detection and Alerts
Identifies unusual consumption patterns, billing errors, and significant period-over-period changes that require investigation or corrective action.
Complete Audit Trail
Links every extracted data point back to the source utility bill with visual citations, providing auditors and investors with complete verification of reported ESG metrics.
Complete Audit Trail
Links every extracted data point back to the source utility bill with visual citations, providing auditors and investors with complete verification of reported ESG metrics.
Complete Audit Trail
Links every extracted data point back to the source utility bill with visual citations, providing auditors and investors with complete verification of reported ESG metrics.
Complete Audit Trail
Links every extracted data point back to the source utility bill with visual citations, providing auditors and investors with complete verification of reported ESG metrics.
Processes utility data from any source
To deliver investor-ready ESG metrics.
Get started
Get started


Import your files
Microsoft Excel
,
Google Sheets
,
Microsoft Sharepoint Online
Import your files from whereever they are currently stored
All types of Real Estate documents supported
Once imported our system extracts and organises the essentials
Customer voices
Customer voices
Connect AI to your utility data.
Connect AI to your utility data.
Meet investor ESG requirements without the manual burden.
Meet investor ESG requirements without the manual burden.
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.
Utility bills come in countless formats from hundreds of providers. This agent handles everything from simple single-property statements to complex multi-property invoices with embedded charts and tables, regardless of layout or provider.
Input types
50+ languages
Scanned Bills
200 pages
Multi-modal
Document types
PDFs
Email Attachments
Complex Tables
Usage Charts
Spreadsheets
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.
Up to 200 pages.
Utility bills come in countless formats from hundreds of providers. This agent handles everything from simple single-property statements to complex multi-property invoices with embedded charts and tables, regardless of layout or provider.
Input types
50+ languages
Scanned Bills
200 pages
Multi-modal
Document types
PDFs
Email Attachments
Complex Tables
Usage Charts
Spreadsheets
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.
Up to 200 pages.
Utility bills come in countless formats from hundreds of providers. This agent handles everything from simple single-property statements to complex multi-property invoices with embedded charts and tables, regardless of layout or provider.
Input types
50+ languages
Scanned Bills
200 pages
Multi-modal
Document types
PDFs
Email Attachments
Complex Tables
Usage Charts
Spreadsheets
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate
through GenAI reasoning.
ESG reporting demands precision. The agent uses multi-step validation to ensure consumption figures, billing periods, and emissions calculations are extracted with exceptional accuracy, ready for investor scrutiny and third-party verification.
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.
ESG reporting demands precision. The agent uses multi-step validation to ensure consumption figures, billing periods, and emissions calculations are extracted with exceptional accuracy, ready for investor scrutiny and third-party verification.
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.
ESG reporting demands precision. The agent uses multi-step validation to ensure consumption figures, billing periods, and emissions calculations are extracted with exceptional accuracy, ready for investor scrutiny and third-party verification.
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.
Satisfy auditor requirements with complete transparency. Every extracted consumption figure and calculated emission is visually linked to its source in the original utility bill, providing auditors and investors with instant verification.

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.
Satisfy auditor requirements with complete transparency. Every extracted consumption figure and calculated emission is visually linked to its source in the original utility bill, providing auditors and investors with instant verification.

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.
Satisfy auditor requirements with complete transparency. Every extracted consumption figure and calculated emission is visually linked to its source in the original utility bill, providing auditors and investors with instant verification.

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.
Utility bills contain sensitive operational and financial data. V7 Go processes these documents within your secure environment, ensuring confidentiality and compliance with data privacy standards required by institutional investors.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Utility bills contain sensitive operational and financial data. V7 Go processes these documents within your secure environment, ensuring confidentiality and compliance with data privacy standards required by institutional investors.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Utility bills contain sensitive operational and financial data. V7 Go processes these documents within your secure environment, ensuring confidentiality and compliance with data privacy standards required by institutional investors.
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 Sustainability Managers
How does it handle different utility provider formats?
The agent uses advanced document understanding to extract data from any utility bill format, regardless of provider. It recognizes consumption data in tables, charts, and text across hundreds of utility company templates without requiring manual configuration.
+
How does it handle different utility provider formats?
The agent uses advanced document understanding to extract data from any utility bill format, regardless of provider. It recognizes consumption data in tables, charts, and text across hundreds of utility company templates without requiring manual configuration.
+
How does it handle different utility provider formats?
The agent uses advanced document understanding to extract data from any utility bill format, regardless of provider. It recognizes consumption data in tables, charts, and text across hundreds of utility company templates without requiring manual configuration.
+
Can it calculate Scope 1 and Scope 2 emissions?
Yes. The agent applies standard emissions factors to extracted energy consumption data to calculate both Scope 1 and Scope 2 greenhouse gas emissions in accordance with GHG Protocol methodology required for GRESB reporting.
+
Can it calculate Scope 1 and Scope 2 emissions?
Yes. The agent applies standard emissions factors to extracted energy consumption data to calculate both Scope 1 and Scope 2 greenhouse gas emissions in accordance with GHG Protocol methodology required for GRESB reporting.
+
Can it calculate Scope 1 and Scope 2 emissions?
Yes. The agent applies standard emissions factors to extracted energy consumption data to calculate both Scope 1 and Scope 2 greenhouse gas emissions in accordance with GHG Protocol methodology required for GRESB reporting.
+
How does it handle multi-property utility statements?
The agent intelligently parses complex statements that include multiple properties, extracting consumption data for each individual building and maintaining the property-level granularity required for accurate portfolio reporting.
+
How does it handle multi-property utility statements?
The agent intelligently parses complex statements that include multiple properties, extracting consumption data for each individual building and maintaining the property-level granularity required for accurate portfolio reporting.
+
How does it handle multi-property utility statements?
The agent intelligently parses complex statements that include multiple properties, extracting consumption data for each individual building and maintaining the property-level granularity required for accurate portfolio reporting.
+
What if utility bills are missing or incomplete?
The agent flags missing data points and incomplete bills, providing a clear report of gaps in your data coverage. This allows you to request missing invoices from property managers before submission deadlines.
+
What if utility bills are missing or incomplete?
The agent flags missing data points and incomplete bills, providing a clear report of gaps in your data coverage. This allows you to request missing invoices from property managers before submission deadlines.
+
What if utility bills are missing or incomplete?
The agent flags missing data points and incomplete bills, providing a clear report of gaps in your data coverage. This allows you to request missing invoices from property managers before submission deadlines.
+
How does it normalize data across different billing periods?
The agent automatically adjusts for varying billing cycles, converting all consumption data to standardized monthly or annual metrics. It accounts for partial periods and leap years to ensure accurate year-over-year comparisons.
+
How does it normalize data across different billing periods?
The agent automatically adjusts for varying billing cycles, converting all consumption data to standardized monthly or annual metrics. It accounts for partial periods and leap years to ensure accurate year-over-year comparisons.
+
How does it normalize data across different billing periods?
The agent automatically adjusts for varying billing cycles, converting all consumption data to standardized monthly or annual metrics. It accounts for partial periods and leap years to ensure accurate year-over-year comparisons.
+
Can it track renewable energy purchases?
Yes. The agent identifies and extracts renewable energy credits, green power purchases, and on-site generation data from utility bills, enabling accurate reporting of renewable energy percentages required for GRESB and Energy Star.
+
Can it track renewable energy purchases?
Yes. The agent identifies and extracts renewable energy credits, green power purchases, and on-site generation data from utility bills, enabling accurate reporting of renewable energy percentages required for GRESB and Energy Star.
+
Can it track renewable energy purchases?
Yes. The agent identifies and extracts renewable energy credits, green power purchases, and on-site generation data from utility bills, enabling accurate reporting of renewable energy percentages required for GRESB and Energy Star.
+
Next steps
Next steps
Facing another GRESB deadline with incomplete data?
Send us a sample of your utility bills from last quarter. We'll show you how to automate the entire ESG data extraction process.
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:
