90% faster manager analysis

AI agent for Investment Consultants

From quarterly report review to strategic allocation

Delegate manager performance analysis to a specialized AI agent. It reads attribution reports, extracts key metrics, compares performance drivers across managers, and generates allocation recommendations aligned with your client's investment policy, freeing consultants to focus on client relationships and strategic advice.

Ideal for

Investment Consultants

Pension Fund Advisors

Institutional Consultants

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    SMC  logo
    Mercedes-Benz logo
    Centerline logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Alaris logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
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    Mercedes-Benz logo
    Paige logo
    Roche logo
    Mercedes-Benz logo
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Q3 Manager Review - State Pension

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    Mercedes-Benz logo
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Mercedes-Benz logo
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Time comparison

Time comparison

Traditional way

3-5 days per client

With V7 Go agents

2-4 hours

Average time saved

90%

Why V7 Go

Why V7 Go

Automated Attribution Analysis

Extracts performance attribution data from manager reports, identifying allocation effects, selection effects, and interaction effects across sectors, styles, and factors with precision.

Automated Attribution Analysis

Extracts performance attribution data from manager reports, identifying allocation effects, selection effects, and interaction effects across sectors, styles, and factors with precision.

Automated Attribution Analysis

Extracts performance attribution data from manager reports, identifying allocation effects, selection effects, and interaction effects across sectors, styles, and factors with precision.

Automated Attribution Analysis

Extracts performance attribution data from manager reports, identifying allocation effects, selection effects, and interaction effects across sectors, styles, and factors with precision.

Cross-Manager Comparison

Normalizes attribution methodologies across different managers to enable apples-to-apples performance comparison, even when managers use different attribution frameworks or reporting formats.

Cross-Manager Comparison

Normalizes attribution methodologies across different managers to enable apples-to-apples performance comparison, even when managers use different attribution frameworks or reporting formats.

Cross-Manager Comparison

Normalizes attribution methodologies across different managers to enable apples-to-apples performance comparison, even when managers use different attribution frameworks or reporting formats.

Cross-Manager Comparison

Normalizes attribution methodologies across different managers to enable apples-to-apples performance comparison, even when managers use different attribution frameworks or reporting formats.

Risk-Adjusted Metrics Extraction

Pulls Sharpe ratios, information ratios, tracking error, and other risk-adjusted performance metrics from technical reports, creating a standardized view of manager skill versus luck.

Risk-Adjusted Metrics Extraction

Pulls Sharpe ratios, information ratios, tracking error, and other risk-adjusted performance metrics from technical reports, creating a standardized view of manager skill versus luck.

Risk-Adjusted Metrics Extraction

Pulls Sharpe ratios, information ratios, tracking error, and other risk-adjusted performance metrics from technical reports, creating a standardized view of manager skill versus luck.

Risk-Adjusted Metrics Extraction

Pulls Sharpe ratios, information ratios, tracking error, and other risk-adjusted performance metrics from technical reports, creating a standardized view of manager skill versus luck.

Style Drift Detection

Monitors manager positioning over time to identify style drift, factor exposures, and deviations from stated investment mandates that could impact portfolio construction.

Style Drift Detection

Monitors manager positioning over time to identify style drift, factor exposures, and deviations from stated investment mandates that could impact portfolio construction.

Style Drift Detection

Monitors manager positioning over time to identify style drift, factor exposures, and deviations from stated investment mandates that could impact portfolio construction.

Style Drift Detection

Monitors manager positioning over time to identify style drift, factor exposures, and deviations from stated investment mandates that could impact portfolio construction.

Policy-Aligned Recommendations

References your client's Investment Policy Statement stored in the Knowledge Hub to generate allocation recommendations that respect constraints, targets, and rebalancing thresholds.

Policy-Aligned Recommendations

References your client's Investment Policy Statement stored in the Knowledge Hub to generate allocation recommendations that respect constraints, targets, and rebalancing thresholds.

Policy-Aligned Recommendations

References your client's Investment Policy Statement stored in the Knowledge Hub to generate allocation recommendations that respect constraints, targets, and rebalancing thresholds.

Policy-Aligned Recommendations

References your client's Investment Policy Statement stored in the Knowledge Hub to generate allocation recommendations that respect constraints, targets, and rebalancing thresholds.

Verifiable Data Trail

Links every extracted metric and recommendation back to the source page in manager reports with AI Citations, creating a complete audit trail for fiduciary documentation.

Verifiable Data Trail

Links every extracted metric and recommendation back to the source page in manager reports with AI Citations, creating a complete audit trail for fiduciary documentation.

Verifiable Data Trail

Links every extracted metric and recommendation back to the source page in manager reports with AI Citations, creating a complete audit trail for fiduciary documentation.

Verifiable Data Trail

Links every extracted metric and recommendation back to the source page in manager reports with AI Citations, creating a complete audit trail for fiduciary documentation.

Analyzes manager performance reports

To deliver allocation recommendations aligned with client policy.

Get started

Get started

Logo
Logo

Import your files

Microsoft Excel

,

Tableau

,

Microsoft Sharepoint Online

Import your files from whereever they are currently stored

Customer voices

Customer voices

Connect AI to your investment process.

Connect AI to your investment process.

Turn quarterly manager reviews into strategic allocation decisions.

Turn quarterly manager reviews into strategic allocation decisions.

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

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.

Manager reports vary widely in format and structure. This agent handles everything from standardized templates to custom presentations, extracting attribution data from dense tables, charts, and narrative commentary regardless of layout.

Input types

50+ languages

Complex Tables

200 pages

Multi-modal

Document types

PDFs

Spreadsheets

Charts

Graphs

Presentations

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.

Up to 200 pages.

Manager reports vary widely in format and structure. This agent handles everything from standardized templates to custom presentations, extracting attribution data from dense tables, charts, and narrative commentary regardless of layout.

Input types

50+ languages

Complex Tables

200 pages

Multi-modal

Document types

PDFs

Spreadsheets

Charts

Graphs

Presentations

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.

Up to 200 pages.

Manager reports vary widely in format and structure. This agent handles everything from standardized templates to custom presentations, extracting attribution data from dense tables, charts, and narrative commentary regardless of layout.

Input types

50+ languages

Complex Tables

200 pages

Multi-modal

Document types

PDFs

Spreadsheets

Charts

Graphs

Presentations

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate

through GenAI reasoning.

Attribution analysis demands precision. The agent uses sophisticated table extraction and numerical reasoning to ensure performance metrics, basis points, and percentage contributions are captured with near-perfect accuracy for reliable manager comparison.

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.

Attribution analysis demands precision. The agent uses sophisticated table extraction and numerical reasoning to ensure performance metrics, basis points, and percentage contributions are captured with near-perfect accuracy for reliable manager comparison.

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.

Attribution analysis demands precision. The agent uses sophisticated table extraction and numerical reasoning to ensure performance metrics, basis points, and percentage contributions are captured with near-perfect accuracy for reliable manager comparison.

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 extracted metric and recommendation is visually linked to its source in the manager reports. This creates a complete audit trail for fiduciary documentation and allows consultants to verify any data point instantly.

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 extracted metric and recommendation is visually linked to its source in the manager reports. This creates a complete audit trail for fiduciary documentation and allows consultants to verify any data point instantly.

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 extracted metric and recommendation is visually linked to its source in the manager reports. This creates a complete audit trail for fiduciary documentation and allows consultants to verify any data point instantly.

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.

Manager performance data is highly confidential. V7 Go processes all reports within your secure environment, ensuring client information and manager relationships remain protected under institutional-grade security protocols.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security

for high-stake industries.

Manager performance data is highly confidential. V7 Go processes all reports within your secure environment, ensuring client information and manager relationships remain protected under institutional-grade security protocols.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security

for high-stake industries.

Manager performance data is highly confidential. V7 Go processes all reports within your secure environment, ensuring client information and manager relationships remain protected under institutional-grade security protocols.

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 Investment Consultants

How does it handle different attribution methodologies?

The agent recognizes common attribution frameworks including Brinson-Fachler, Brinson-Hood-Beebower, and factor-based models. It normalizes results to a common framework for comparison while preserving the original methodology details for transparency.

+

How does it handle different attribution methodologies?

The agent recognizes common attribution frameworks including Brinson-Fachler, Brinson-Hood-Beebower, and factor-based models. It normalizes results to a common framework for comparison while preserving the original methodology details for transparency.

+

How does it handle different attribution methodologies?

The agent recognizes common attribution frameworks including Brinson-Fachler, Brinson-Hood-Beebower, and factor-based models. It normalizes results to a common framework for comparison while preserving the original methodology details for transparency.

+

Can it work with our custom Investment Policy Statements?

Yes. You upload client IPS documents to a V7 Go Knowledge Hub. The agent references these policies when generating recommendations, ensuring all suggestions respect asset allocation ranges, rebalancing bands, and client-specific constraints.

+

Can it work with our custom Investment Policy Statements?

Yes. You upload client IPS documents to a V7 Go Knowledge Hub. The agent references these policies when generating recommendations, ensuring all suggestions respect asset allocation ranges, rebalancing bands, and client-specific constraints.

+

Can it work with our custom Investment Policy Statements?

Yes. You upload client IPS documents to a V7 Go Knowledge Hub. The agent references these policies when generating recommendations, ensuring all suggestions respect asset allocation ranges, rebalancing bands, and client-specific constraints.

+

What types of manager reports can it process?

The agent handles quarterly performance reports, attribution analyses, factor exposure reports, holdings-based analytics, and risk decomposition studies from institutional managers, regardless of format or template.

+

What types of manager reports can it process?

The agent handles quarterly performance reports, attribution analyses, factor exposure reports, holdings-based analytics, and risk decomposition studies from institutional managers, regardless of format or template.

+

What types of manager reports can it process?

The agent handles quarterly performance reports, attribution analyses, factor exposure reports, holdings-based analytics, and risk decomposition studies from institutional managers, regardless of format or template.

+

How does it identify manager skill versus market beta?

The agent extracts active return decomposition, analyzing allocation decisions, security selection, and factor tilts separately. It identifies persistent patterns across reporting periods to distinguish repeatable skill from temporary market conditions.

+

How does it identify manager skill versus market beta?

The agent extracts active return decomposition, analyzing allocation decisions, security selection, and factor tilts separately. It identifies persistent patterns across reporting periods to distinguish repeatable skill from temporary market conditions.

+

How does it identify manager skill versus market beta?

The agent extracts active return decomposition, analyzing allocation decisions, security selection, and factor tilts separately. It identifies persistent patterns across reporting periods to distinguish repeatable skill from temporary market conditions.

+

Can it track manager changes over time?

Absolutely. The agent maintains historical context from previous quarters stored in your Knowledge Hub, enabling trend analysis of attribution sources, style consistency, and risk profile evolution for each manager.

+

Can it track manager changes over time?

Absolutely. The agent maintains historical context from previous quarters stored in your Knowledge Hub, enabling trend analysis of attribution sources, style consistency, and risk profile evolution for each manager.

+

Can it track manager changes over time?

Absolutely. The agent maintains historical context from previous quarters stored in your Knowledge Hub, enabling trend analysis of attribution sources, style consistency, and risk profile evolution for each manager.

+

What is the final output format?

The agent delivers a structured comparison matrix with normalized metrics, a narrative summary of key findings, and specific allocation recommendations. This can be exported to Excel or integrated directly into your client reporting templates.

+

What is the final output format?

The agent delivers a structured comparison matrix with normalized metrics, a narrative summary of key findings, and specific allocation recommendations. This can be exported to Excel or integrated directly into your client reporting templates.

+

What is the final output format?

The agent delivers a structured comparison matrix with normalized metrics, a narrative summary of key findings, and specific allocation recommendations. This can be exported to Excel or integrated directly into your client reporting templates.

+

Next steps

Next steps

Still reading attribution reports line by line?

Send us your latest quarterly manager reports. We'll show you how our agent delivers comparative analysis and allocation recommendations in hours, not days.

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: