Project Management

How does the Semantic Kernel Planner actually work for complex Project Management automation?

DO Asked by Donna Rivera · 14-06-2025
0 upvotes 11,091 views 0 comments
The question

I'm trying to automate our project scheduling. I need to understand how Microsoft Semantic Kernel powers enterprise AI when the steps aren't linear. If a resource is unavailable, can the planner pivot and suggest a different timeline automatically using our internal PM tools?

3 answers

0
LI
Answered on 20-07-2025

The Planner is essentially the "brain" that looks at your available "Plugins" and the user's goal to create a roadmap. In your case, you would create a "ResourcePlugin" and a "SchedulingPlugin." When the user asks for a timeline, the Planner sees that it needs to check resources first. If the resource check returns "unavailable," the LLM can use that feedback to loop back and try a different date. This iterative reasoning, often called "Chain of Thought," is exactly how Microsoft Semantic Kernel powers enterprise AI to handle non-linear, real-world business scenarios.

0
JE
Answered on 15-08-2025

Is there a way to visualize the plan before it executes? I’m worried about the AI making a mistake and sending out a wrong schedule to the whole department.

DO 22-08-2025

Jeffrey, you can definitely do that. The Planner returns a "Plan" object (often in JSON or XML format) before execution. You can display this in your UI for a "Human-in-the-loop" approval. Once the manager clicks 'Approve,' the Kernel then proceeds to execute the steps. This safeguard is a best practice for any enterprise AI implementation to ensure accuracy and human oversight.

0
RY
Answered on 05-09-2025

We use the Function Stepwise Planner for this. It’s slower but much more accurate for complex tasks that require multiple API calls to different PM tools.

LI 12-09-2025

We found the same thing, Ryan. The stepwise approach is better because it 'thinks' after each step, which is crucial when dealing with changing project data.

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