---
title: "Agentic AI Pulse: Scaling Toward Reliable Operations"
description: Recent survey evidence from 919 global enterprise technology leaders highlights a clear inflection point in the adoption of agentic AI. While 72% of respondents report active use of AI agents in IT operations and DevOps, and 74% expect budget increases within the next 12 months, large-scale autonomous operations remain limited. Only 23% report enterprise-wide deployment, despite 44% having agentic AI in production for select departments. The data shows that organizations are not constrained by experimentation capacity—72% manage between two and ten agentic projects—but by their ability to operate these systems reliably under real-world conditions.
image: https://webinars.techstronglearning.com/hubfs/2025.04.09-Dynatrace-Social-1080x1080-1.png
---

Agentic AI Pulse: Scaling Toward Reliable Operations

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##### On Demand

 

Enterprise adoption of agentic AI is accelerating, but new data from our survey of 900 global leaders shows a widening gap between experimentation and reliable, enterprise‑wide autonomy. While most organizations already use AI agents in IT operations and DevOps—and expect budgets to rise—only a minority have scaled beyond departmental deployments. The limiting factors aren’t interest or capacity; they’re trust, visibility, and the ability to operate agentic systems safely under real‑world conditions.

Join this conversation as we unpack the data, and spotlight the key areas organizations need to focus on to unlock production‑grade autonomy.

Insights you’ll take away from this conversation:

- Enterprise adoption and maturity trends of agentic AI across global organizations
- Key barriers limiting autonomous operations, including security, scalability, and visibility
- How oversight and performance metrics shape reliable, production‑grade agentic AI

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### Santiago Palacios Garcia

###### Tech Evangelist - Dynatrace

Tech evangelist and Sales Engineering Director with over a decade of experience helping organizations mature their cloud observability strategies. Known for guiding teams beyond reactive troubleshooting toward proactive detection, contextual insights, and intelligent automation, enabling enterprises to anticipate issues before they impact users and streamline resolution across complex, modern environments. Main goal is to drive continuous evolution toward resilient, self‑healing systems. 

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### Mrudula Bangera

###### Tech Evangelist - Dynatrace

With over two decades of experience designing and delivering IT Operations Management (ITOM) solutions, Mrudula brings deep domain expertise in observability, automation, and digital transformation. Prior to Dynatrace, she has worked with companies like Gartner, Accenture, IBM, and Wipro providing technical solutions for IT infrastructure and digital technology projects. 

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### Mitch Ashley

###### VP and Practice Lead, DevOps and Application Development - The Futurum Group

  Mitch Ashley is the VP and Practice Lead of DevOps and Application Development at The Futurum Group. With over 30 years of experience as an entrepreneur, industry analyst, product developer, and IT leader, Mitch possesses deep expertise in software engineering, cybersecurity, DevOps, DevSecOps, cloud technologies, and AI. As a sought-after analyst, CTO, CIO, and engineering leader, he stays attuned to the latest advancements in software engineering, including the impact of AI across the software development lifecycle, cloud-native, observability, software supply chain security, and platform engineering. Mitch has launched several industry-defining products, including award-winning cybersecurity solutions, SaaS applications, internet services, and broadband networks. 

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