--- id: video/PeI-Jv4KVn8 type: video title: Copilot Managing Maintenance Intake by Zig summary: "Short demo by Zig of a Copilot solution for maintenance intake: from a real estate unit looked up by address, a user starts the intake with an image, text, or both, and Copilot analyzes it and proposes tasks. The user reviews the explanation for the chosen task and confirms it, which creates the maintenance request. The attachments then hold the source image and the AI's explanation of what it sees." tier: official language: en tags: - maintenance intake - copilot - natural language - image analysis - maintenance request - wizard - ai-powered system: service review: state: reviewed by: opus at: "2026-10-07T22:55:52.719Z" flags: [] generated: at: "2026-10-13T00:32:41.360Z" pipeline: 0.2.0 prompts: extract-video: 1 summarize-video: 2 input_hash: a402e677e0895ab69d92a9736791a9871e39c8dc217710b68abb0c620b5d7456 evidence: - kind: video url: https://www.youtube.com/watch?v=PeI-Jv4KVn8&t=1s title: Copilot Managing Maintenance Intake by Zig date: "2025-08-04T15:18:54.000Z" commit: null t: 1 quote: for the reporting of an issue in around the house by a tenant. Uh we have an intake or sick operations that is done - kind: video url: https://www.youtube.com/watch?v=PeI-Jv4KVn8&t=13s title: Copilot Managing Maintenance Intake by Zig date: "2025-08-04T15:18:54.000Z" commit: null t: 13 quote: What we've created is a co-pilot solution that can do the intake based on natural language, an image or a combination both to uptake - kind: video url: https://www.youtube.com/watch?v=PeI-Jv4KVn8&t=35s title: Copilot Managing Maintenance Intake by Zig date: "2025-08-04T15:18:54.000Z" commit: null t: 35 quote: copilot can look at the image, analyze it, and see what possible uh solutions there are. - kind: video url: https://www.youtube.com/watch?v=PeI-Jv4KVn8&t=46s title: Copilot Managing Maintenance Intake by Zig date: "2025-08-04T15:18:54.000Z" commit: null t: 46 quote: We can check for the explanation why it has chosen that uh task and we can confirm it. This will create the maintenance request. - kind: video url: https://www.youtube.com/watch?v=PeI-Jv4KVn8&t=57s title: Copilot Managing Maintenance Intake by Zig date: "2025-08-04T15:18:54.000Z" commit: null t: 57 quote: see a little bit of an explanation what the AI is seeing on the image to give a little bit of a of a links: learn: [] objects: [] features: [] topics: [] localizations: [] videos: [] posts: [] guidelines: [] video_id: PeI-Jv4KVn8 channel: yt-microsoft source_name: Microsoft Dynamics 365 Business Central (YouTube) url: https://www.youtube.com/watch?v=PeI-Jv4KVn8 published_at: "2025-08-04T15:18:54.000Z" duration_s: 70 captions: full audience: - functional consultant - decision maker - partner chapters: - t: 0 title: Problem statement and copilot solution overview - t: 13 title: Copilot capabilities for maintenance intake - t: 23 title: Starting maintenance intake with image - t: 35 title: Copilot analysis and task generation - t: 46 title: Viewing results and attachments features: - name: Copilot-powered maintenance intake status: unclear t: 13 verified: false status_source: video - name: Image-based maintenance issue analysis status: unclear t: 35 verified: false status_source: video - name: Maintenance request attachments and AI explanation status: unclear t: 46 verified: false status_source: video objects_mentioned: [] quotes: - t: 1 text: for the reporting of an issue in around the house by a tenant. Uh we have an intake or sick operations that is done check: exact - t: 13 text: What we've created is a co-pilot solution that can do the intake based on natural language, an image or a combination both to uptake check: exact - t: 35 text: copilot can look at the image, analyze it, and see what possible uh solutions there are. check: exact - t: 46 text: We can check for the explanation why it has chosen that uh task and we can confirm it. This will create the maintenance request. check: exact - t: 57 text: see a little bit of an explanation what the AI is seeing on the image to give a little bit of a of a check: exact --- # Copilot Managing Maintenance Intake by Zig > Short demo by Zig of a Copilot solution for maintenance intake: from a real estate unit looked up by address, a user starts the intake with an image, text, or both, and Copilot analyzes it and proposes tasks. The user reviews the explanation for the chosen task and confirms it, which creates the maintenance request. The attachments then hold the source image and the AI's explanation of what it sees. [Watch on YouTube](https://www.youtube.com/watch?v=PeI-Jv4KVn8) · Microsoft Dynamics 365 Business Central (YouTube) · 2025-08-04 · 1:10 · tier official · reviewed (checked by Opus) ## Overview The video presents a Copilot solution for maintenance intake, motivated by a tenant reporting an issue in a house. Intake can start from natural language, an image, or a combination of both. In the demo, the intake starts with an image. Copilot analyzes it, works out the problem, and generates tasks and possible solutions in a maintenance request. In the request's attachments, the image is stored together with an explanation of what the AI sees in it. The video is about one minute long. ## Key points - The scenario is a tenant reporting an issue around the house. The old wizard-based intake was described as technical and knowledge-heavy. - The Copilot solution does the intake from natural language, an image, or both, and proposes a possible solution for the fix. - The intake starts from a real estate unit that the user looks up by address. - In the demo, an image of a broken door is used; after Generate, Copilot analyzes the image and suggests possible solutions. - The user can check the explanation of why a task was chosen and confirm it, which creates the maintenance request. - The request's attachments show the source image and an AI explanation of what it sees in the image. ## Chapters - [0:00](https://www.youtube.com/watch?v=PeI-Jv4KVn8&t=0s) Problem statement and copilot solution overview - [0:13](https://www.youtube.com/watch?v=PeI-Jv4KVn8&t=13s) Copilot capabilities for maintenance intake - [0:23](https://www.youtube.com/watch?v=PeI-Jv4KVn8&t=23s) Starting maintenance intake with image - [0:35](https://www.youtube.com/watch?v=PeI-Jv4KVn8&t=35s) Copilot analysis and task generation - [0:46](https://www.youtube.com/watch?v=PeI-Jv4KVn8&t=46s) Viewing results and attachments ## Features Every feature below: status not stated, demoed. | Feature | At | |---|---| | Copilot-powered maintenance intake | [0:13](https://www.youtube.com/watch?v=PeI-Jv4KVn8&t=13s) | | Image-based maintenance issue analysis | [0:35](https://www.youtube.com/watch?v=PeI-Jv4KVn8&t=35s) | | Maintenance request attachments and AI explanation | [0:46](https://www.youtube.com/watch?v=PeI-Jv4KVn8&t=46s) | ## Quotes - [0:01](https://www.youtube.com/watch?v=PeI-Jv4KVn8&t=1s) "for the reporting of an issue in around the house by a tenant. Uh we have an intake or sick operations that is done" - [0:13](https://www.youtube.com/watch?v=PeI-Jv4KVn8&t=13s) "What we've created is a co-pilot solution that can do the intake based on natural language, an image or a combination both to uptake" - [0:35](https://www.youtube.com/watch?v=PeI-Jv4KVn8&t=35s) "copilot can look at the image, analyze it, and see what possible uh solutions there are." - [0:46](https://www.youtube.com/watch?v=PeI-Jv4KVn8&t=46s) "We can check for the explanation why it has chosen that uh task and we can confirm it. This will create the maintenance request." - [0:57](https://www.youtube.com/watch?v=PeI-Jv4KVn8&t=57s) "see a little bit of an explanation what the AI is seeing on the image to give a little bit of a of a" Presenters (as heard): Zig.