Why your AMS costs 10× too much
The AMS model, built in the pre-AI era, is structurally inefficient for D365 maintenance. An analysis of the cost drivers and the emerging AI solution.
Analysis, practical guides, and experience reports on Dynamics 365 F&O, AI, and IT governance.
The AMS model, built in the pre-AI era, is structurally inefficient for D365 maintenance. An analysis of the cost drivers and the emerging AI solution.
A quantified comparison between the traditional AMS model and the AI model for D365 ticket resolution. The numbers reveal a gap that often exceeds 10:1.
Concrete examples: common D365 developments are now accessible in under an hour with AI — without sacrificing quality or governance.
How D365 CIOs can use Azure DevOps to validate every development, track quality, and reduce consultant dependency — without writing a single line of code.
Does generative AI truly change X++ development? An honest analysis of capabilities, limitations, and what your internal teams can now achieve.
D365 F&O projects routinely run over budget and behind schedule. The day-rate billing model creates perverse incentives — that AI can now correct.
Join the CIOs who resolve their D365 tickets in 1h for €200.
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