MWC26: From Automation to Agentic Cloud - How Cloud Operations Are Evolving

Mobile Europe
Mobile EuropeMar 16, 2026

Why It Matters

Agentic cloud redefines how telecoms manage complexity, turning AI agents into decision‑makers that boost efficiency and ROI, while freeing human teams to focus on high‑value innovation.

Key Takeaways

  • Cloud complexity crisis shifts burden from tech to overwhelmed humans.
  • Automation ROI plateaus as enterprises face hybrid, edge, sovereign clouds.
  • Amdoc introduces agentic cloud with composable, hyperspecialized AI agents.
  • Agents reason, adapt, act, and orchestrate workflows across modernization.
  • Focused hyper‑specialized investments yield greater business impact than broad automation.

Summary

At MWC 2026, STL Partners’ Amy Cameron interviewed Salma Dennis, head of Amdoc’s Cloud Studio, to unpack what the firm calls the “cloud complexity crisis.” Over the past decade, enterprises have layered ever‑more automation onto cloud platforms, inadvertently moving the bottleneck from technology to human operators who now juggle hybrid, edge, sovereign and other specialized environments.

Dennis explained that automation’s return on investment is flattening because human decision‑makers are overwhelmed, prompting Amdoc to pivot from traditional automation toward an “agentic cloud.” The new AOS platform and Amdoc Studios deliver a library of interoperable, composable AI agents—each hyper‑specialized for a specific stage of the modernization journey—allowing customers to stitch together bespoke workflows that can reason, adapt, plan, act, and even orchestrate other agents.

A key point emphasized was that operators need not deploy a full suite of agents; instead, they should concentrate resources on a few high‑impact, hyper‑specialized agents that drive measurable improvements. “Don’t spend 85 % of your budget for a 5 % gain,” Dennis warned, underscoring the shift toward targeted AI investments that deliver step‑change outcomes.

The move to agentic cloud signals a strategic inflection for telecoms and other enterprises: by offloading decision‑making to intelligent agents, they can reclaim human capacity, accelerate service innovation, and achieve a stronger ROI on cloud initiatives. Companies that adopt this focused, agent‑driven model are likely to outpace competitors still mired in manual, over‑automated processes.

Original Description

In this exclusive interview with Mobile Europe, Amy Cameron from STL Partners speaks with Salma Datenis, the Head of Cloud Studios at Amdocs, who discusses why today’s cloud complexity has outgrown traditional automation and how Agentic AI and the Agentic Cloud introduce a more intelligent, adaptive way to manage and optimize cloud environments, with human oversight.

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