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Use Cases for Work Order AI Automation Package

What can the Work Order AI Automation Package do?

Updated this week

Work Order AI Automation Package Documentation

Overview

This documentation provides an overview of the Work Order AI Automation Package, detailing its use cases and the functionalities of its three main agents. Users can leverage these agents to enhance work order management through automation and analysis.


Enabling the AI Automation Package 0:10

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To enable the Work Order AI Automation Package:

  • Navigate to the Settings section.

  • If not already enabled, click the green button to enable the package.

  • Once enabled, click the blue button to access the automated features.


Inbound Parse Agent 0:28

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The Inbound Parse Agent supports the following use cases:

  • Transcribes inbound calls.

  • Parses inbound emails from various sources, including:

    • Building automation systems

    • Teachers and tenants

  • Handles external forms, Slack messages, and text messages to create work orders with the appropriate information.


Monitoring Agent 1:23

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The Monitoring Agent helps prevent work orders from being overlooked. Key functionalities include:

  • Analyzing work orders based on specified criteria.

  • Assigning new users, approvers, or watchers as needed.

  • Adding comments or marking work orders as duplicates.

  • Monitoring work orders older than a specified number of days to ensure timely follow-up.


Analysis and Trends Agent 2:40

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The Analysis and Trends Agent provides insights into:

  • Inventory costs associated with work orders.

  • Labor hour costs and total costs of work orders.

  • Vendor costs for contractors or third-party vendors.

  • Trends in work order assignments and workforce load balancing.

  • Historical analysis of completed work orders for forecasting purposes.


Conclusion 3:29

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The Work Order AI Automation Package integrates seamlessly with your AI assistant, allowing for efficient management and analysis of work orders. Users can activate this package today within their settings to enhance operational efficiency.

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