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Making Your Building AI-Ready with Neeve Secure Edge and Robin Agent

In today’s fast-paced digital landscape, buildings are becoming smarter, but many legacy systems remain a challenge. Neeve Secure Edge, combined with Robin Agent, is a turnkey solution for transforming any building into an AI-powered environment—without requiring software changes or API integrations. Whether you need to automate compliance audits, extract data from hard-to-access systems, or streamline workflows across multiple applications, Robin Agent makes it easy.

Powered by agentless remote access

Neeve’s agentless remote access technology allows Robin Agent to securely interact with any system—SSH, HTTP, or even Windows desktop applications—directly through a web browser. By embedding AI-driven automation into your workflows, Robin Agent can execute tasks with human-like intelligence, adapting to interfaces, clicking through menus, and pulling critical data without requiring custom development.

Extract Insights Icon

Extract valuable insights

Access data from legacy systems with no APIs with no coding required.

Automate Task Icon

Automate tasks

Streamline data entry, reporting, and system updates

Improve Compliance Icon

Improve compliance

Perform audits and automate compliance tasks with intelligent  automation of any application

Use Cases: Workflow Automation

Reducing Manual Effort with AI

Automating repetitive workflows with AI can save employees up to 30-50% of their time by eliminating manual tasks like data entry, compliance checks, and system monitoring. AI-driven process automation not only increases efficiency but also reduces human errors and operational costs.

1

Automating Compliance Audits for User Access

Security teams often struggle to track unused user accounts across multiple systems, creating compliance risks. Robin can automatically audit user access logs, flag inactive accounts, and even disable them—without IT intervention.

Best Practices for Automated Compliance Audits

  • Set clear access policies. Define inactivity thresholds (e.g., 90 days of no login) in your prompt. Don’t forget, Robin can do math, so the thresholds can be calculated.
  • Use AI to analyze patterns. Robin can spot anomalies in access logs.
  • Automate remediation actions. AI can generate alerts or trigger account deactivation.
  • Document audit trails. Maintain logs of changes for compliance reporting, this can be done in Google Sheets or other web-based applications. 

Example Prompt:

Visit the page "{your dashboard here}", sort the users by "Last LoggedIn", and list the usernames and emails of every user who have never logged in and every user that hasn't logged in within the last three months.

2

Automating Preventative Maintenance in Niagara

Routine preventative maintenance is crucial for ensuring optimal building performance, but manually reviewing schedules and equipment runtimes can be time-consuming. With Robin, you can automate preventative maintenance checks in Niagara by reviewing HVAC schedules and identifying inefficiencies before they become costly issues.

Best Practices for Automated Maintenance Checks

  • Be very prescriptive. The Robin can easily make mistakes without explicit data to review, so have it perform actions like clicking on schedule items to check start and end times numerically instead of just reviewing the visuals.
  • Generate reports for maintenance teams. Automate notifications and logs for review by having Robin open a web-based email application and sending a note.

Example Prompt for HVAC Preventative Maintenance

Visit '{Neeve remote access full path to Niagara AHU 1 schedule page}'

Carefully review the column for each day of the week. Click the mouse in the column for each weekend day (Saturday and Sunday). When you click the column the Event Start and Event Finish fields should be greyed out and have 12:00AM as values for both fields. If not, that is a violation. Check each week day (Monday - Friday). When you click the column the Event Start and Event Finish fields should be active (not greyed out) and the value for Event Start should be no earlier than 6:00AM and the value for Event End should be no later than 8:00PM - otherwise it is a violation.

Repeat that for these URLs:
'{Neeve remote access full path to Niagara AHU 2 schedule page}'
'{Neeve remote access full path to Niagara AHU 3 schedule page}'
etc.


Summarize the schedules for each AHU and tell me which ones are in violation and why.

Use Cases: Data Integrations

Lowering the Cost of Building Operations with AI

Siloed data is one of the biggest challenges in building management. Studies show that AI-driven data integration can reduce building operating costs by up to 20% by optimizing energy usage, improving maintenance schedules, and enabling smarter decision-making. Robin can bridge gaps between disconnected systems, extracting data even when no API is available.

1

Automating Data Extraction & Reporting

Many enterprise systems lack APIs, making it difficult to extract data for reporting and analytics. Robin can interact with web-based or desktop applications just like a human, automating data scraping and report generation with natural language commands.

Best Practices for Automated Data Extraction

  • Use clear and structured prompts. AI works best with well-defined instructions.
  • Break down workflows into steps. Identify login sequences, navigation paths, and the required data fields.
  • Leverage AI for formatting. Robin can clean, summarize, and format extracted data automatically.
  • Use Google or Office for data storage: Robin cannot download files and is only able to access things through the web, so leverage Google sheets or similar programs for data storage. 

Example Prompt for Automated Reporting with an IoT Sensor

Access the "Start Page - Live View", obtain the "In" number and "Out" number for adults, subtract the "In" from the "Out" number, and enter today's date and the result into a Google Sheet at "{Google Sheet URL}", recording the date in the "Date" column and the result in the "Occupancy" column. Do not ask confirmation as to whether you should update the sheet, just proceed. Close the tab that has the page for the sensor when you are complete.

2

Occupancy Counting from CCTV

CCTV cameras are a source of a wealth of information, but having people monitoring them regularly can be time consuming, and adding AI features can be costly. Robin is “multimodal” meaning not only can it understand text and navigate the web, it can also interpret images and video. This means it can be used to analyze video footage and derive insights and data. 

Best Practices for CCTV activities

  • Use Google or Office for data storage: Robin cannot download files and is only able to access things through the web, so leverage Google sheets or similar programs for data storage.
  • If you are using a multi-camera feed be explicit about which camera view to inspect.

Example Prompt for Automated Reporting

- Look at the camera feed in the bottom left. Count the number of people.


- Go to this Google sheet and enter the date, time and count of people. {Google sheet link}


- Do not ask for confirmation.

3

Basic Fault Detection and Diagnostics (FDD) in Niagara

Building automation systems like Niagara control thousands of data points across HVAC and environmental systems. While FDD systems are available in the market, they may not be cost effective for smaller installation. Robin can provide basic fault detection and diagnostics (FDD) by automatically comparing HVAC setpoints to actual room temperatures, flagging potential performance issues.

Best Practices for AI-Driven Fault Detection

  • Compare expected vs. actual performance. Identify zones where setpoints are not being met.
  • Spot early warning signs. Catch underperforming HVAC zones before complaints arise.
  • Generate reports for facility managers. Automate alerts for prioritized maintenance.

Example Prompt for FDD Analysis

Visit '{Neeve remote acccess full path to VAV Summary}'

On this page, for each VAV in the column, check if the Space Temp is higher than the Space Setpoint. If so, this could be an issue and remember the name of the VAV. In the end, give me a list of all the VAVs that are potential issues and why.

AI-Powered Buildings Start with Neeve Secure Edge

Ready to transform your building operations with AI?

With Neeve Secure Edge and Robin, AI-driven automation is now within reach—no APIs, no coding, no hassle. Whether you need to streamline reporting, enhance security compliance, or automate daily tasks, Neeve empowers you to make your building truly AI-ready.

Learn about Robin: AI for buildings, simplified
why neeve?

A smarter foundation for smarter building operations

As a cloud-native solution, Neeve knows how to securely and efficiently provide data to your ecosystem of applications. By building Neeve AI on top of best-in-class security for OT as well as on modern, cloud-savvy, secure building data practices, Neeve applications are highly focused and relevant to the real-world roles and processes of building operators.

Continuous compliance

Certified secure

Verifying vendor cybersecurity is now the responsibility of OT leaders. Neeve simplifies this with audited certifications across our products and processes so our customers can be confident in our credentials.

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ISO/IEC 27001 Certification
ISO/IEC 27001
SOC 2 Type 2 Certification
SOC 2 Type 2
Third-party penetration testing
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Discover how Neeve is innovating for the future of spaces with our unified cloud and edge infrastructure

Making spaces “smart” is a struggle. Fragmented networks, outdated systems, legacy software, and a proliferation of cloud-based software can create major security risks while increasing management overhead and hindering innovation.

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