According to a recent LinkedIn post from Magentic, the company is highlighting a shift in enterprise technology economics from traditional software-as-a-service to what it describes as services delivered by software. The post frames this evolution as a challenge for CIOs whose existing ROI models may not adequately capture the value of autonomous and semi-autonomous systems.
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The post promotes a new guide authored by CEO and Co-founder Robin, which is positioned as a framework for redefining ROI categories for AI-driven systems, particularly AI agents in procurement. It indicates that the guide also addresses how to structure business cases and set short, medium, and long-term KPIs for such deployments.
According to the post, the content is based on insights from Magentic’s work with global manufacturers that are advancing their supply chain and procurement capabilities. For investors, this suggests Magentic is targeting large industrial and manufacturing clients with higher-value, AI-enabled services, potentially supporting premium pricing and longer-term engagements.
If adoption of AI agents in procurement accelerates, Magentic could benefit from increasing demand for tools and methodologies that quantify financial returns on these systems. The emphasis on ROI modeling and KPIs may also help reduce perceived risk for enterprise buyers, which could shorten sales cycles and improve deal conversion rates in this emerging segment.