AI Costing: Why the License Price Is Only the Beginning
AI is rapidly becoming part of business technology. From Microsoft Copilot and Microsoft Dynamics 365 to Power Platform and Azure AI, organizations are exploring how AI can improve productivity, automate processes and create better customer experiences.
But one question continues to create confusion:
How much does AI really cost?
Many businesses start by looking at the AI license price. But that is only one part of the equation.At PropelSaga, we believe AI costing should be looked at from a complete business perspective—not just as a software license.
What Should You Consider When Calculating AI Cost?
1. Business Use Case
Start by defining what you want AI to achieve.Is it customer service automation, sales assistance, finance automation, reporting, or an AI agent connected to your business processes?
The complexity of the use case directly impacts the investment.
2. Licensing
For Microsoft customers, the technology stack may include:
- Microsoft Dynamics 365
- Microsoft Copilot
- Copilot Studio
- Power Platform
- Dataverse
- Azure AI services
Understanding which licenses are required—and what is already included in your existing environment—is essential.
3. Usage & Consumption
The number of users is only part of the calculation.
Consider:
- How many users will use AI?
- How frequently?
- How many interactions will take place?
- How much data will be processed?
AI usage can significantly influence the overall cost.
4. Data & Integration
AI needs access to relevant business data. Data preparation, Dataverse, external systems, APIs and integrations can all add to the investment. For Microsoft Dynamics 365 customers, understanding where the data resides and how AI will access it is particularly important.
5. Implementation
AI doesn't implement itself. Solution design, configuration, AI agent development, testing, security and deployment can all require additional effort.
6. Adoption & Support
Even a technically successful AI implementation may fail to deliver ROI if employees don't use it effectively. Training, change management, ongoing support and optimization should therefore be included in the AI budget.
A Simple Way to Look at AI Cost
AI Cost = Licensing + Usage + Data + Implementation + Integration + Adoption + Support
But there is one more important calculation:
AI Investment → Adoption → Business Impact → ROI
The objective should not simply be to find the cheapest way to implement AI. It should be to understand what investment is required to create measurable business value.
The Bottom Line
AI costing is more than checking the price of a Copilot license.
For Microsoft Dynamics 365 businesses, a realistic AI budget should consider the technology, users, data, implementation, integration and—most importantly—adoption and business outcomes.
At PropelSaga, we believe the conversation around AI should move from “What does AI cost?” to:
“What will it take to make AI deliver value for our business?”
Because the real measure of AI isn't its cost.
It's the value it creates.
PropelSaga
Your Saga of Success