Deepomatic Platform
  • Overview
  • Release notes
    • January 2025
    • November 21, 2024
    • October 17, 2024
    • September 19, 2024
    • July 18, 2024
    • June 27, 2024
    • May 23, 2024
    • April 18, 2024
    • March 21, 2024
    • February 22, 2024
    • January 18, 2024
    • December 13, 2023
    • October 26, 2023
    • July 20, 2023
    • June 29, 2023
    • May 29, 2023
    • April 27, 2023
    • March 30, 2023
    • February 17, 2023
    • January 19, 2023
    • December 22, 2022
    • November 18, 2022
    • October 19, 2022
    • September 19, 2022
    • July 27, 2022
    • June 26, 2022
    • May 17, 2022
    • April 13, 2022
    • March 17, 2022
    • February 10, 2022
    • December 21, 2021
    • October 26, 2021
  • Getting started
  • ADMIN & USER MANAGEMENT
    • Invite and manage users
      • Invite group of users at once
      • SSO
        • Azure Active Directory
  • Deepomatic Engage
    • Integrate applications
      • Deepomatic vocabulary
      • Deepomatic connectors
        • Set-up
        • Camera Connector
        • Work Order Connector
      • API integration
        • Authentication
        • Errors
        • API reference
          • Work order management
          • Analysis
            • Guide field workers
            • Perform an analysis
            • Correct an analysis
          • Data retrieval
          • Endpoints' list
      • Batch processing
        • Format
        • Naming conventions
        • Processing
        • Batch status & errors
      • Data export
    • Use the mobile application
      • Configure a mobile application
      • Create & visualize work orders
      • Complete work orders
      • Offline experience
    • Manage your business operations with customisable solutions
      • Roles
      • Alerting
      • Field services
        • Reviewing work orders
        • Exploring work orders
        • Grouping work orders
        • Monitoring assets performance
      • Insights
  • Security
    • Security
    • Data Protection
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On this page
  • Consult the details of a work order
  • Take photos to perform the work order
  • Complete a work order

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  1. Deepomatic Engage
  2. Use the mobile application

Complete work orders

Last updated 10 months ago

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Consult the details of a work order

Once the technician has identified the work order he's supposed to perform, he can click on it to see all the photos he will have to upload in order to validate the completion of its job.

Before taking a picture, or even after a KO on a picture, he has the ability to consult example photos so he can be guided in the completion of its job.

Take photos to perform the work order

Right after a technician uploaded a photo, it is possible to activate specific checkpoints to control data conformity. Hence, before analyzing the work of the field engineer we make sure the photo is exploitable.

If the photo is not exploitable based on the checks (blur, brightness, duplicate...), it raises an error message to the field engineer. Two options are available to set the data conformity checkpoints' level of criticity:

The error option forces the field engineer to retake the photo if a data conformity checkpoint is not validated.

The warning option still triggers a message but retaking the photo is not compulsory and the field engineer still has access to the rest of the process.

If the data conformity is satisfying, we proceed to the second step by checking the job conformity. One or several tasks can be analyzed on a photo and the technician will receive a feedback for each one of the analyzed tasks.

If the technician does not agree with the analysis made by AI, he can either retake a photo or manually edit the analysis (this action will be highlighted for back office users). The ability or not to edit the results is configurable.

If an external factor prevents the technician from taking a picture (or taking it properly) he has the ability to explain it through the comment feature. Thanks to this, back office teams are always aware of what is going on on the field.

Complete a work order

Finally, throughout the work order, the technician can visualize its progress thanks to the completion bar which is updated each time a new photo is uploaded.

For more details regarding the data conformity checkpoints' configuration, check the .

task and task groups documentation
Data conformity error screen
Data conformity warning screen