20-30% space reduction

AI agent for Workspace Planners

Turn badge data into space strategy

Delegate workspace analysis to an AI agent that processes badge swipe logs, floor plans, and occupancy sensors to identify utilization patterns. It quantifies underused areas, forecasts space needs based on growth projections, and generates data-backed recommendations for consolidation, hoteling, or expansion decisions.

Ideal for

Corporate Real Estate

Facilities Management

Workplace Strategy

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    Alaris logo
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    Foobar logo
    ABL logo
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    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
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    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
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See AI agent for Workspace Planners in action

Play video

  • Mercedes-Benz logo
    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
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Mercedes-Benz logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

See AI agent for Workspace Planners in action

Play video

  • Mercedes-Benz logo
    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
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Mercedes-Benz logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

See AI agent for Workspace Planners in action

Play video

Q2 Space Utilization Analysis

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    SMC  logo
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    Centerline logo
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    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
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Mercedes-Benz logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

See AI agent for Workspace Planners in action

Play video

Time comparison

Time comparison

Traditional way

3-4 weeks

With V7 Go agents

2-3 hours

Average time saved

95%

Why V7 Go

Why V7 Go

Badge Data Integration

Connects directly to access control systems to extract swipe patterns, entry times, and floor-level movement data, creating a complete picture of how employees actually use the space.

Badge Data Integration

Connects directly to access control systems to extract swipe patterns, entry times, and floor-level movement data, creating a complete picture of how employees actually use the space.

Badge Data Integration

Connects directly to access control systems to extract swipe patterns, entry times, and floor-level movement data, creating a complete picture of how employees actually use the space.

Badge Data Integration

Connects directly to access control systems to extract swipe patterns, entry times, and floor-level movement data, creating a complete picture of how employees actually use the space.

Floor Plan Analysis

Processes CAD files and PDF floor plans to map desk locations, conference rooms, collaboration zones, and amenity spaces, linking physical layout to utilization metrics.

Floor Plan Analysis

Processes CAD files and PDF floor plans to map desk locations, conference rooms, collaboration zones, and amenity spaces, linking physical layout to utilization metrics.

Floor Plan Analysis

Processes CAD files and PDF floor plans to map desk locations, conference rooms, collaboration zones, and amenity spaces, linking physical layout to utilization metrics.

Floor Plan Analysis

Processes CAD files and PDF floor plans to map desk locations, conference rooms, collaboration zones, and amenity spaces, linking physical layout to utilization metrics.

Peak vs. Average Utilization

Distinguishes between peak occupancy moments and sustained usage patterns, identifying areas that appear busy during limited hours but remain empty most of the day.

Peak vs. Average Utilization

Distinguishes between peak occupancy moments and sustained usage patterns, identifying areas that appear busy during limited hours but remain empty most of the day.

Peak vs. Average Utilization

Distinguishes between peak occupancy moments and sustained usage patterns, identifying areas that appear busy during limited hours but remain empty most of the day.

Peak vs. Average Utilization

Distinguishes between peak occupancy moments and sustained usage patterns, identifying areas that appear busy during limited hours but remain empty most of the day.

Department-Level Insights

Breaks down utilization by team, department, or business unit, revealing which groups need more space and which could consolidate or adopt flexible seating.

Department-Level Insights

Breaks down utilization by team, department, or business unit, revealing which groups need more space and which could consolidate or adopt flexible seating.

Department-Level Insights

Breaks down utilization by team, department, or business unit, revealing which groups need more space and which could consolidate or adopt flexible seating.

Department-Level Insights

Breaks down utilization by team, department, or business unit, revealing which groups need more space and which could consolidate or adopt flexible seating.

Growth Scenario Modeling

Projects future space requirements based on headcount forecasts and historical utilization trends, helping you plan expansions or consolidations with confidence.

Growth Scenario Modeling

Projects future space requirements based on headcount forecasts and historical utilization trends, helping you plan expansions or consolidations with confidence.

Growth Scenario Modeling

Projects future space requirements based on headcount forecasts and historical utilization trends, helping you plan expansions or consolidations with confidence.

Growth Scenario Modeling

Projects future space requirements based on headcount forecasts and historical utilization trends, helping you plan expansions or consolidations with confidence.

Cost Impact Quantification

Translates square footage recommendations into dollar savings by applying your actual lease rates, showing the financial impact of each space optimization scenario.

Cost Impact Quantification

Translates square footage recommendations into dollar savings by applying your actual lease rates, showing the financial impact of each space optimization scenario.

Cost Impact Quantification

Translates square footage recommendations into dollar savings by applying your actual lease rates, showing the financial impact of each space optimization scenario.

Cost Impact Quantification

Translates square footage recommendations into dollar savings by applying your actual lease rates, showing the financial impact of each space optimization scenario.

Processes occupancy data from any source

To deliver actionable space optimization insights.

Get started

Get started

Logo
Logo
Logo

Import your files

Microsoft Excel

,

Tableau

,

Google Sheets

Import your files from whereever they are currently stored

Customer voices

Customer voices

Connect AI to your occupancy data.

Connect AI to your occupancy data.

Turn badge swipes into real estate strategy.

Turn badge swipes into real estate strategy.

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.

Workspace data comes in many formats. This agent handles badge logs from any access control system, floor plans in CAD or PDF, sensor feeds, and booking system exports. It processes messy, real-world data without requiring standardization.

Input types

Multi-Building

Time-Series Data

CAD Files

Sensor Feeds

Document types

CSV Logs

Floor Plans

Spreadsheets

Heatmaps

JSON Feeds

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.

Up to 200 pages.

Workspace data comes in many formats. This agent handles badge logs from any access control system, floor plans in CAD or PDF, sensor feeds, and booking system exports. It processes messy, real-world data without requiring standardization.

Input types

Multi-Building

Time-Series Data

CAD Files

Sensor Feeds

Document types

CSV Logs

Floor Plans

Spreadsheets

Heatmaps

JSON Feeds

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.

Up to 200 pages.

Workspace data comes in many formats. This agent handles badge logs from any access control system, floor plans in CAD or PDF, sensor feeds, and booking system exports. It processes messy, real-world data without requiring standardization.

Input types

Multi-Building

Time-Series Data

CAD Files

Sensor Feeds

Document types

CSV Logs

Floor Plans

Spreadsheets

Heatmaps

JSON Feeds

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate

through GenAI reasoning.

Space decisions require precision. The agent uses multi-step validation to ensure occupancy calculations, square footage measurements, and cost projections are accurate. Every metric is cross-referenced against floor plans and lease data.

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.

Space decisions require precision. The agent uses multi-step validation to ensure occupancy calculations, square footage measurements, and cost projections are accurate. Every metric is cross-referenced against floor plans and lease data.

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.

Space decisions require precision. The agent uses multi-step validation to ensure occupancy calculations, square footage measurements, and cost projections are accurate. Every metric is cross-referenced against floor plans and lease data.

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 utilization metric and space recommendation is linked to the underlying badge data and floor plan source. You can verify any finding by tracing it back to the raw swipe logs and occupancy patterns.

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 utilization metric and space recommendation is linked to the underlying badge data and floor plan source. You can verify any finding by tracing it back to the raw swipe logs and occupancy patterns.

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 utilization metric and space recommendation is linked to the underlying badge data and floor plan source. You can verify any finding by tracing it back to the raw swipe logs and occupancy patterns.

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.

Badge data contains sensitive employee movement information. V7 Go processes this data within your secure environment, anonymizes individual patterns, and ensures compliance with workplace privacy regulations. Your data never leaves your control.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security

for high-stake industries.

Badge data contains sensitive employee movement information. V7 Go processes this data within your secure environment, anonymizes individual patterns, and ensures compliance with workplace privacy regulations. Your data never leaves your control.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security

for high-stake industries.

Badge data contains sensitive employee movement information. V7 Go processes this data within your secure environment, anonymizes individual patterns, and ensures compliance with workplace privacy regulations. Your data never leaves your control.

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 Workspace Planners

How does the agent handle employee privacy concerns?

The agent analyzes aggregated patterns, not individual behavior. Badge data is processed to show floor-level and zone-level utilization without tracking specific employees. All analysis complies with workplace privacy standards and can be configured to meet your organization's data governance policies.

+

How does the agent handle employee privacy concerns?

The agent analyzes aggregated patterns, not individual behavior. Badge data is processed to show floor-level and zone-level utilization without tracking specific employees. All analysis complies with workplace privacy standards and can be configured to meet your organization's data governance policies.

+

How does the agent handle employee privacy concerns?

The agent analyzes aggregated patterns, not individual behavior. Badge data is processed to show floor-level and zone-level utilization without tracking specific employees. All analysis complies with workplace privacy standards and can be configured to meet your organization's data governance policies.

+

What data sources does it need?

The agent works with badge swipe logs from access control systems, floor plans in CAD or PDF format, and optionally occupancy sensor data or conference room booking systems. It can process data from most major access control platforms and building management systems.

+

What data sources does it need?

The agent works with badge swipe logs from access control systems, floor plans in CAD or PDF format, and optionally occupancy sensor data or conference room booking systems. It can process data from most major access control platforms and building management systems.

+

What data sources does it need?

The agent works with badge swipe logs from access control systems, floor plans in CAD or PDF format, and optionally occupancy sensor data or conference room booking systems. It can process data from most major access control platforms and building management systems.

+

How does it account for hybrid work patterns?

The agent identifies day-of-week patterns, seasonal variations, and team-specific schedules to understand hybrid work adoption. It can model different scenarios like 3-day mandates or flexible schedules to forecast space needs under various return-to-office policies.

+

How does it account for hybrid work patterns?

The agent identifies day-of-week patterns, seasonal variations, and team-specific schedules to understand hybrid work adoption. It can model different scenarios like 3-day mandates or flexible schedules to forecast space needs under various return-to-office policies.

+

How does it account for hybrid work patterns?

The agent identifies day-of-week patterns, seasonal variations, and team-specific schedules to understand hybrid work adoption. It can model different scenarios like 3-day mandates or flexible schedules to forecast space needs under various return-to-office policies.

+

Can it analyze multiple buildings or campuses?

Yes. The agent can process data across your entire real estate portfolio, comparing utilization between buildings, identifying opportunities to consolidate locations, and recommending which properties to prioritize for renewal or exit.

+

Can it analyze multiple buildings or campuses?

Yes. The agent can process data across your entire real estate portfolio, comparing utilization between buildings, identifying opportunities to consolidate locations, and recommending which properties to prioritize for renewal or exit.

+

Can it analyze multiple buildings or campuses?

Yes. The agent can process data across your entire real estate portfolio, comparing utilization between buildings, identifying opportunities to consolidate locations, and recommending which properties to prioritize for renewal or exit.

+

How accurate are the space reduction recommendations?

Recommendations are based on actual usage data over your specified time period, typically 90-180 days. The agent applies industry-standard space planning ratios and can be calibrated to your organization's specific density targets and workplace policies.

+

How accurate are the space reduction recommendations?

Recommendations are based on actual usage data over your specified time period, typically 90-180 days. The agent applies industry-standard space planning ratios and can be calibrated to your organization's specific density targets and workplace policies.

+

How accurate are the space reduction recommendations?

Recommendations are based on actual usage data over your specified time period, typically 90-180 days. The agent applies industry-standard space planning ratios and can be calibrated to your organization's specific density targets and workplace policies.

+

What format is the final output?

The agent delivers a structured report with utilization heatmaps, department-level metrics, cost impact analysis, and specific recommendations. Output can be formatted as Excel dashboards, PowerPoint presentations, or JSON data for integration with your space management systems.

+

What format is the final output?

The agent delivers a structured report with utilization heatmaps, department-level metrics, cost impact analysis, and specific recommendations. Output can be formatted as Excel dashboards, PowerPoint presentations, or JSON data for integration with your space management systems.

+

What format is the final output?

The agent delivers a structured report with utilization heatmaps, department-level metrics, cost impact analysis, and specific recommendations. Output can be formatted as Excel dashboards, PowerPoint presentations, or JSON data for integration with your space management systems.

+

Next steps

Next steps

Still guessing how much office space you actually need?

Send us your badge data and floor plans. We'll show you exactly where you're overpaying and how much space you can reclaim.

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: