
RPA Teacher. Follow along👆 35,000+ YouTube Subscribers. Microsoft MVP. 2 x UiPath MVP.
In a recent YouTube tutorial, Anders Jensen [MVP] demonstrates how to use Scheduled Prompts in Microsoft 365 Copilot to automate recurring AI tasks and deliver updates on a schedule. The video walks viewers through creating a personalized daily news system that includes world news, sentiment analysis, and content from trusted sources. Jensen explains timing, frequency, and email notifications so outputs arrive exactly when users need them. Overall, the episode aims to help professionals reduce manual effort and stay informed.
Jensen outlines that Scheduled Prompts let users set prompts to run automatically in platforms such as Teams, Office.com chat, and Outlook, with results posted directly into Copilot chat. He notes the feature requires a Microsoft 365 Copilot add-on license and that administrators may need to confirm optional connected experiences for full data access. The tutorial highlights limits like the ability to have up to ten active scheduled prompts per user and typical run counts that prevent indefinite execution. Consequently, the feature blends familiar chat-style output with simple automation controls.
Jensen demonstrates several practical workflows, including automated daily news digests, weekly project summaries, and recurring data pulls from email and documents, which together save time and improve consistency. The video emphasizes that scheduled outputs can arrive as drafts or chat updates, which makes it easy to review and refine content before sharing. In addition, Jensen points out how teams can scale routine tasks such as feedback collection or status updates without adding manual overhead. Therefore, the feature suits users who want predictable, repeatable results without constant intervention.
The tutorial guides viewers through a clear three-step setup: craft a precise prompt, schedule it from the response menu, and configure timing and notifications to match workflow needs. Jensen advises testing and refining prompts before scheduling to avoid repeating errors, and he shows how email notifications help surface results when users are not actively in Copilot chat. He also recommends that organizations inventory scheduled prompts for compliance and use PowerShell tools where needed to maintain oversight. Thus, careful preparation and iterative testing become key to reliable automation.
While Jensen celebrates the efficiency gains, he also addresses tradeoffs and governance issues that organizations must consider when adopting scheduled automation. For example, frequent runs can consume user allotments and create noise if prompts produce large or duplicate outputs, so teams must balance frequency with value; moreover, the ten-prompt limit per user forces prioritization of the most important automations. He also warns that connected experiences give Copilot access to organizational data, which heightens the need for clear policies, monitoring, and role-based controls to protect sensitive information. Consequently, successful deployment requires both technical setup and strong governance to prevent prompt drift, data leakage, or unnecessary resource use.
Jensen highlights administrative considerations, explaining that admins can manage optional connected experiences and audit prompt activity, which helps keep automated workflows within policy boundaries. He points out that Power Platform administrator roles and PowerShell tools let IT track and control scheduled prompts for compliance review, while retention and access policies still apply to generated content. At the same time, he notes that organizations must train users to design prompts that minimize exposure to sensitive fields and to review outputs regularly. Therefore, governance must pair with user education to make automation both safe and effective.
The video underscores that automation works best when paired with human review, since AI-generated summaries and analyses sometimes miss nuance or context that a subject-matter expert would catch. Jensen recommends using scheduled prompts to prepare drafts and highlights, not to fully replace decision-making conversations or final deliverables. He also suggests setting clear escalation paths for ambiguous or critical findings, ensuring that automated alerts trigger human follow-up when necessary. Consequently, teams retain control while benefiting from faster, repetitive processing.
Jensen clearly explains several technical limits, such as run-count caps and platform availability, which can affect long-running research or monitoring workflows. He describes scenarios where prompts might fail due to connectivity, permission changes, or prompt phrasing, and he recommends embedding simple checks and summaries to validate output quality. Additionally, the video prompts organizations to plan for prompt updates as business needs change, because stale prompts can generate misleading or irrelevant results. Thus, routine maintenance and failover planning help preserve reliability.
For teams ready to experiment, Jensen recommends starting small with a single daily digest or weekly summary, testing outputs for a few cycles, then increasing scale once results prove reliable. He also suggests documenting prompt intents and owners so that responsibilities are clear if a scheduled automation needs update or troubleshooting. Importantly, he urges users to pair automation with notification settings so stakeholders see results when they matter most, which increases adoption and trust. In short, iterative rollout and clear ownership improve both outcomes and governance.
Anders Jensen’s video presents Microsoft 365 Copilot as a practical addition to the Microsoft 365 Copilot toolbox, capable of turning repetitive tasks into predictable, scheduled outputs with modest setup. However, his walkthrough also makes clear that organizations must balance convenience with governance, monitoring, and thoughtful prompt design to avoid common pitfalls. Ultimately, Jensen’s guidance helps viewers understand both the potential and the responsibilities of automating work with Copilot, and it lays out a pragmatic path for teams to adopt the feature safely and effectively.
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