Optimizing the Economic
Value of Agentic AI with Managed Services.

Optimizing the economic value of agentic AI with managed services requires orchestrating across an ecosystem of vast resources.

Agentic AI Is Moving Fast. Is Your ROI Strategy Keeping Up?

As enterprises scale agentic AI across business and IT operations, many are still struggling to control costs, maintain governance, and connect AI investments to measurable business value. This IDC Spotlight explores what it takes to optimize the economics of agentic AI while balancing cost, speed, and quality.

• Uncover the hidden costs of agentic AI
  Learn why enterprises face challenges with tracking AI-related expenses, managing data and compute costs, and avoiding unexpected overruns as AI initiatives scale.
• See what’s shaping real ROI
  Understand the factors that influence the economic value of agentic AI across design, development, operations, pricing, governance, and organizational readiness.
• Get clarity on what leaders should measure
  Explore why financial governance, observability, and KPI alignment are becoming essential for linking AI performance to business outcomes.
• Make smarter scale decisions
  Gain perspective on how enterprises can better balance speed, quality, and control while scaling agentic AI through managed services.

If you are responsible for AI strategy, operations, transformation, or financial outcomes, this paper offers timely insight into how to scale agentic AI with greater visibility, control, and confidence. 

Download the IDC Spotlight Now!

About the Analyst

David Tapper, Program VP, Outsourcing and Managed Cloud Services

David Tapper serves as Program Vice President for IDC's Outsourcing and Managed Cloud Services program. This program focuses on developing research for managed services with a lens on how cloud computing is reshaping this market and becoming the central means of provisioning these services, which IDC refers to as managed cloud services. Mr. Tapper also examines how critical technologies such as AI and new business models spanning cloud operating models (private, public, hybrid) and cloud platforms (IaaS, PaaS, SaaS), are impacting this market.