Agentic AI Is Changing Demand Planning
If you work in the Dynamics ecosystem, you have watched AI move fast this past year. Copilot is showing up across Microsoft Dynamics 365, and Microsoft has invested heavily in demand planning capabilities. The next step is already in view, and it is a bigger one: agents that do planning work, not just answer questions about it.
Gartner expects 40 percent of enterprise applications to include task-specific AI agents by the end of 2026, up from less than 5 percent (Gartner, 2025). For Dynamics customers in distribution, that shift lands squarely on the demand planner's desk.
Where Native Planning Stops for Distributors
Business Central and F&SCM are strong systems of record, and their planning has come a long way. But for distributors managing thousands of SKUs across locations, native planning often needs help with the inventory-first math: statistical forecasting across many demand patterns, promotion and seasonality handling, supplier lead-time variability, and new-item planning with no history. That is why so many Dynamics distributors layer a specialist ISV planning solution on top of the platform.
This is the gap where StockIQ and Business Central have worked well together, and it is exactly the layer where an AI agent has room to add value, because the repetitive, rules-heavy work is what agents handle best.
What an Agent Looks Like in the Planning Workflow
Picture the planner's screen inside a Dynamics-connected planning tool. Instead of the planner pulling data and rebuilding a spreadsheet, an agent monitors demand, supply, and exceptions continuously, assembles a recommended forecast and buy, and shows its reasoning. The planner reviews, adjusts, and approves. The record of truth still lives in Dynamics. This matters because it keeps a person accountable for the decision while the agent absorbs the manual load, which today runs to almost two workdays a week per planner (LeanDNA, 2024).
The Discipline Part: Not Every Agent Project Should Ship
Here is where a veteran partner earns their keep. The same excitement driving agent adoption is also producing failures. Gartner projects that more than 40 percent of agentic AI projects will be canceled by the end of 2027, often from unclear value or weak data foundations. The lesson is not to wait. It is to scope AI against readiness: clean master data, a real workflow, and a decision the business is prepared to let an agent assist. Modern technology works best on a disciplined foundation.
That is the balance we try to strike. Western Computer has spent nearly 40 years and more than 1,750 Dynamics implementations separating what is ready for production from what looks good in a demo. AI planning is ready for real use now, when it is applied to the right work with a person in charge.
See the First Look
We are demonstrating this on Thursday, September 3 at 2:00 PM ET, with StockIQ: an exclusive preview of AI in the planning workflow. A demand planner's day with AI in it, and a first look at an agent inside the planning process, built to run whether you are on Dynamics 365 Business Central, F&SCM, or a legacy system you have not migrated yet. Register for the preview here.