Have you seen increases in price due to vendors adding AI features? Are there higher fees with AI investments?
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We consciously deploy agnostic AI agents where they bring true value, such as in manufacturing. Specialized machines benefit from AI for predictive maintenance. We prefer to wait before making large investments.
Vendors are experimenting with pricing and licensing strategies. For example, Google initially offered Gemini as a separate SKU, then integrated it into Workspace with an incremental fee. We can expect more varied strategies as the market matures. There is also a risk of vendor lock-in, similar to what we’ve seen in the smartphone space, and a land grab among ERP vendors for AI supremacy. An agnostic approach may be preferable to avoid ecosystem limitations.
While I’m not certain agnostic is the right answer, it has worked for me. We are taking a wait-and-see approach, proving value without committing to a single vendor.
Many major solutions require separate licensing for AI features, resulting in increased costs.
There is a significant push for AI tools in manufacturing, particularly for digital recognition systems that identify errors on production lines. While we are not developing applications ourselves, we see value in adopting proven solutions, especially in manufacturing.