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Measuring AI ROI in IT Operations

Industry trends

Watch the On‑Demand Webinar

Complete the form to access the full recording and learn how Ensono approaches AI with a focus on measurable outcomes, operational discipline, and long‑term value.

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How Ensono Uses Agentic AI to Drive Predictable, Measurable Outcomes

AI is rapidly becoming part of everyday IT operations but for many organizations, proving its value remains a challenge. While adoption is high, confidence in measuring return on investment often lags behind.

In this on‑demand Microsoft Insights webinar, Ensono leaders share how they approach AI adoption as a managed services provider and how they tie AI initiatives directly to core IT and business metrics that matter to the enterprise.

From Adoption to Outcomes

As a global IT managed services provider, Ensono applies AI first where reliability, availability, and risk matter most. Rather than treating AI as a standalone initiative, Ensono integrates machine learning, generative AI, and agentic AI into the systems that keep customer environments running.

In this session, Ensono leaders discuss how that approach enables:

  • CheckmarkOperational Benefits of Agentic AI
  • CheckmarkMore predictable IT operations
  • CheckmarkReduced operational risk
  • CheckmarkFaster incident resolution
  • CheckmarkClearer visibility into AI‑driven ROI

What You’ll Learn

This webinar covers:

  • What Microsoft defines as a “frontier firm”—and how Ensono applies that model in practice
  • Why focusing on the applications that matter most is critical to realizing AI value
  • How Ensono uses agentic AI to: Anticipate and prevent incidents, Reduce mean time to repair (MTTR), Manage change with lower risk
  • How to measure AI impact using existing IT performance metrics
  • Considerations for governance, auditability, and control of an AI‑enabled digital workforce
  • A client example demonstrating measurable operational improvement through AI

Who Should Watch

This session is intended for:

  • CIOs and CTOs
  • IT operations and infrastructure leaders
  • Enterprise and solution architects
  • Technology leaders responsible for AI strategy, risk, and outcomes

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