Real-time risk monitoring
AI agent for Clearing House Risk Officers
Real-time margin calls that protect the system
Delegate continuous member exposure monitoring to a specialized AI agent. It analyzes position data, market movements, and collateral values in real-time to calculate precise intraday margin requirements, flag concentration risks, and generate defensible margin calls that prevent default contagion across the financial system.

Ideal for
Clearing Houses
Central Counterparties
Risk Management

See AI agent for Clearing House Risk Officers in action
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See AI agent for Clearing House Risk Officers in action
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See AI agent for Clearing House Risk Officers in action
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Intraday Margin Assessment
See AI agent for Clearing House Risk Officers in action
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Time comparison
Time comparison
Traditional way
2-4 hours per cycle
With V7 Go agents
Real-time continuous
Average time saved
Continuous monitoring
Why V7 Go
Why V7 Go
Real-Time Margin Calculation
Continuously monitors member positions, collateral values, and market movements to calculate precise margin requirements in real-time, eliminating dangerous delays during volatile periods.
Real-Time Margin Calculation
Continuously monitors member positions, collateral values, and market movements to calculate precise margin requirements in real-time, eliminating dangerous delays during volatile periods.
Real-Time Margin Calculation
Continuously monitors member positions, collateral values, and market movements to calculate precise margin requirements in real-time, eliminating dangerous delays during volatile periods.
Real-Time Margin Calculation
Continuously monitors member positions, collateral values, and market movements to calculate precise margin requirements in real-time, eliminating dangerous delays during volatile periods.
Concentration Risk Detection
Identifies dangerous concentration patterns across members, asset classes, and counterparties before they create systemic vulnerabilities, providing early warning of potential contagion scenarios.
Concentration Risk Detection
Identifies dangerous concentration patterns across members, asset classes, and counterparties before they create systemic vulnerabilities, providing early warning of potential contagion scenarios.
Concentration Risk Detection
Identifies dangerous concentration patterns across members, asset classes, and counterparties before they create systemic vulnerabilities, providing early warning of potential contagion scenarios.
Concentration Risk Detection
Identifies dangerous concentration patterns across members, asset classes, and counterparties before they create systemic vulnerabilities, providing early warning of potential contagion scenarios.
Collateral Valuation Monitoring
Tracks collateral quality and market values across all member accounts, automatically adjusting haircuts and margin requirements when asset values deteriorate or liquidity conditions change.
Collateral Valuation Monitoring
Tracks collateral quality and market values across all member accounts, automatically adjusting haircuts and margin requirements when asset values deteriorate or liquidity conditions change.
Collateral Valuation Monitoring
Tracks collateral quality and market values across all member accounts, automatically adjusting haircuts and margin requirements when asset values deteriorate or liquidity conditions change.
Collateral Valuation Monitoring
Tracks collateral quality and market values across all member accounts, automatically adjusting haircuts and margin requirements when asset values deteriorate or liquidity conditions change.
Stress Scenario Analysis
Runs continuous stress tests across member portfolios using historical and hypothetical scenarios, quantifying potential losses and required margin buffers under extreme market conditions.
Stress Scenario Analysis
Runs continuous stress tests across member portfolios using historical and hypothetical scenarios, quantifying potential losses and required margin buffers under extreme market conditions.
Stress Scenario Analysis
Runs continuous stress tests across member portfolios using historical and hypothetical scenarios, quantifying potential losses and required margin buffers under extreme market conditions.
Stress Scenario Analysis
Runs continuous stress tests across member portfolios using historical and hypothetical scenarios, quantifying potential losses and required margin buffers under extreme market conditions.
Regulatory Compliance Verification
Ensures all margin calculations comply with regulatory requirements from authorities like CFTC, SEC, and international regulators, maintaining complete audit trails for supervisory review.
Regulatory Compliance Verification
Ensures all margin calculations comply with regulatory requirements from authorities like CFTC, SEC, and international regulators, maintaining complete audit trails for supervisory review.
Regulatory Compliance Verification
Ensures all margin calculations comply with regulatory requirements from authorities like CFTC, SEC, and international regulators, maintaining complete audit trails for supervisory review.
Regulatory Compliance Verification
Ensures all margin calculations comply with regulatory requirements from authorities like CFTC, SEC, and international regulators, maintaining complete audit trails for supervisory review.
Defensible Margin Calls
Generates margin call documentation with complete calculation methodology and supporting data, providing clear justification for member challenges and regulatory inquiries.
Defensible Margin Calls
Generates margin call documentation with complete calculation methodology and supporting data, providing clear justification for member challenges and regulatory inquiries.
Defensible Margin Calls
Generates margin call documentation with complete calculation methodology and supporting data, providing clear justification for member challenges and regulatory inquiries.
Defensible Margin Calls
Generates margin call documentation with complete calculation methodology and supporting data, providing clear justification for member challenges and regulatory inquiries.
Analyzes position and market data
To calculate defensible margin requirements in real-time.
Get started
Get started


Import your files
Snowflake
,
Microsoft SQL Server
,
Tableau
Import your files from whereever they are currently stored
All types of Finance documents supported
Once imported our system extracts and organises the essentials
Customer voices
Customer voices
Connect AI to your risk methodology.
Connect AI to your risk methodology.
Turn continuous monitoring into systemic protection.
Turn continuous monitoring into systemic protection.
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 data formats.
Real-time processing.
Position data comes in many formats from different trading systems and asset classes. This agent handles everything from standardized FIX messages to proprietary position files, extracting the critical risk metrics regardless of source system or data structure.
Input types
Real-time feeds
Multi-asset class
High frequency
Multi-modal
Document types
Position Files
Market Data
Complex Tables
Time Series
Risk Models
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex data formats.
Real-time processing.
Position data comes in many formats from different trading systems and asset classes. This agent handles everything from standardized FIX messages to proprietary position files, extracting the critical risk metrics regardless of source system or data structure.
Input types
Real-time feeds
Multi-asset class
High frequency
Multi-modal
Document types
Position Files
Market Data
Complex Tables
Time Series
Risk Models
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex data formats.
Real-time processing.
Position data comes in many formats from different trading systems and asset classes. This agent handles everything from standardized FIX messages to proprietary position files, extracting the critical risk metrics regardless of source system or data structure.
Input types
Real-time feeds
Multi-asset class
High frequency
Multi-modal
Document types
Position Files
Market Data
Complex Tables
Time Series
Risk Models
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate
through GenAI reasoning.
In clearing house risk management, calculation errors can lead to undercollateralization and systemic failure. The agent uses sophisticated validation workflows to ensure margin calculations are precise, consistent with regulatory requirements, and defensible under member scrutiny.
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.
In clearing house risk management, calculation errors can lead to undercollateralization and systemic failure. The agent uses sophisticated validation workflows to ensure margin calculations are precise, consistent with regulatory requirements, and defensible under member scrutiny.
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.
In clearing house risk management, calculation errors can lead to undercollateralization and systemic failure. The agent uses sophisticated validation workflows to ensure margin calculations are precise, consistent with regulatory requirements, and defensible under member scrutiny.
Model providers

Security note
V7 never trains models on your private data. We keep your data encrypted and allow you to deploy your own models.
Answer
Type
Text
Tool
o4 Mini
Reasoning effort
Min
Low
Mid
High
AI Citations
Inputs
Set a prompt (Press @ to mention an input)
Trustworthy results,
grounded in reality.
Every margin calculation is fully auditable. The agent links each requirement back to the specific positions, market prices, and risk parameters that drove the calculation, providing complete transparency for internal review, member challenges, and regulatory examination.

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 margin calculation is fully auditable. The agent links each requirement back to the specific positions, market prices, and risk parameters that drove the calculation, providing complete transparency for internal review, member challenges, and regulatory examination.

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 margin calculation is fully auditable. The agent links each requirement back to the specific positions, market prices, and risk parameters that drove the calculation, providing complete transparency for internal review, member challenges, and regulatory examination.

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.
Member position data represents the most sensitive information in the financial system. V7 Go processes all risk calculations within your secure infrastructure, ensuring member confidentiality and compliance with data protection regulations across all jurisdictions.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Member position data represents the most sensitive information in the financial system. V7 Go processes all risk calculations within your secure infrastructure, ensuring member confidentiality and compliance with data protection regulations across all jurisdictions.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Member position data represents the most sensitive information in the financial system. V7 Go processes all risk calculations within your secure infrastructure, ensuring member confidentiality and compliance with data protection regulations across all jurisdictions.
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 Clearing House Risk Officers
How does the agent handle extreme market volatility?
The agent continuously recalculates margin requirements as market conditions change, using real-time price feeds and volatility measures. During extreme events, it automatically increases calculation frequency and applies enhanced stress scenarios to ensure adequate protection.
+
How does the agent handle extreme market volatility?
The agent continuously recalculates margin requirements as market conditions change, using real-time price feeds and volatility measures. During extreme events, it automatically increases calculation frequency and applies enhanced stress scenarios to ensure adequate protection.
+
How does the agent handle extreme market volatility?
The agent continuously recalculates margin requirements as market conditions change, using real-time price feeds and volatility measures. During extreme events, it automatically increases calculation frequency and applies enhanced stress scenarios to ensure adequate protection.
+
Can it integrate with our existing risk management systems?
Yes. The agent connects to your position management systems, collateral databases, and market data feeds through secure APIs. It can also integrate with regulatory reporting platforms to ensure consistent risk metrics across all systems.
+
Can it integrate with our existing risk management systems?
Yes. The agent connects to your position management systems, collateral databases, and market data feeds through secure APIs. It can also integrate with regulatory reporting platforms to ensure consistent risk metrics across all systems.
+
Can it integrate with our existing risk management systems?
Yes. The agent connects to your position management systems, collateral databases, and market data feeds through secure APIs. It can also integrate with regulatory reporting platforms to ensure consistent risk metrics across all systems.
+
How does it determine appropriate margin levels?
The agent uses your clearing house's risk methodology, incorporating factors like historical volatility, liquidity conditions, concentration limits, and regulatory requirements. You can customize parameters and stress scenarios to match your specific risk appetite and member profile.
+
How does it determine appropriate margin levels?
The agent uses your clearing house's risk methodology, incorporating factors like historical volatility, liquidity conditions, concentration limits, and regulatory requirements. You can customize parameters and stress scenarios to match your specific risk appetite and member profile.
+
How does it determine appropriate margin levels?
The agent uses your clearing house's risk methodology, incorporating factors like historical volatility, liquidity conditions, concentration limits, and regulatory requirements. You can customize parameters and stress scenarios to match your specific risk appetite and member profile.
+
What happens when a member disputes a margin call?
Every margin calculation includes complete documentation showing the methodology, input data, and risk factors that drove the requirement. This audit trail provides clear justification for the call and supports rapid resolution of member disputes.
+
What happens when a member disputes a margin call?
Every margin calculation includes complete documentation showing the methodology, input data, and risk factors that drove the requirement. This audit trail provides clear justification for the call and supports rapid resolution of member disputes.
+
What happens when a member disputes a margin call?
Every margin calculation includes complete documentation showing the methodology, input data, and risk factors that drove the requirement. This audit trail provides clear justification for the call and supports rapid resolution of member disputes.
+
How does it handle different asset classes?
The agent applies asset-specific risk models for equities, fixed income, derivatives, commodities, and other instruments. It understands the unique risk characteristics of each asset class and adjusts margin calculations accordingly.
+
How does it handle different asset classes?
The agent applies asset-specific risk models for equities, fixed income, derivatives, commodities, and other instruments. It understands the unique risk characteristics of each asset class and adjusts margin calculations accordingly.
+
How does it handle different asset classes?
The agent applies asset-specific risk models for equities, fixed income, derivatives, commodities, and other instruments. It understands the unique risk characteristics of each asset class and adjusts margin calculations accordingly.
+
Can it predict potential member defaults?
While it cannot predict defaults with certainty, the agent identifies early warning signals like deteriorating collateral quality, increasing position concentration, and margin call frequency that may indicate financial stress at a member firm.
+
Can it predict potential member defaults?
While it cannot predict defaults with certainty, the agent identifies early warning signals like deteriorating collateral quality, increasing position concentration, and margin call frequency that may indicate financial stress at a member firm.
+
Can it predict potential member defaults?
While it cannot predict defaults with certainty, the agent identifies early warning signals like deteriorating collateral quality, increasing position concentration, and margin call frequency that may indicate financial stress at a member firm.
+
Next steps
Next steps
Still relying on end-of-day margin calculations?
Share your position data structure and risk methodology. We'll show you how real-time margin monitoring protects your clearing house and the broader financial system.
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:
