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Learn what drives Microsoft AI costs and how to improve visibility, governance, and model selection so AI spending produces measurable business value.
Traditional budgeting models weren’t built for usage-based AI. As Microsoft Copilot, AI agents, and Azure AI workloads move into production, leaders are facing new questions around cost visibility, accountability, governance, and ROI.
This two-part executive series brings together Quisitive’s Steven Balusek and Bryan Blain to unpack what AI actually costs, who owns the bill, and how to govern it before the numbers reach the boardroom.
AI agents can spend cloud budget on their own, without waiting for approval. To us, the Gartner® new report shows IT and innovation leaders how to cap that spend and let agents earn more freedom only after they prove they’re careful.
Get an insider’s look at how Microsoft is redefining ERP, sales, and business applications with AI, and what it means for organizations accelerating enterprise-wide AI adoption.
Spain beat Argentina with a system, not a superstar. Here is what that result means for deploying AI without security and governance in place.
See how a leading consulting firm used AI to unlock insights hidden across years of acquired contracts, accelerating post-merger integration and reducing operational risk.
Copilot Chat and Copilot Cowork solve different problems. Learn the difference, when to use each, and how pricing works so your team picks the right tool.
Copilot Cowork is Microsoft’s new agentic AI that completes multi-step work across Microsoft 365. Here’s what it does, when to use it, and what it costs.
Copilot Cowork bills per task in Copilot Credits. Here are 12 practical ways employees can cut usage without losing output, from model choice to task scope.
Step-by-step guide to Microsoft 365 Copilot Cowork spending limits, alerts, and model controls in the Cost Management dashboard. Avoid surprise AI bills.
