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Futuriom Research details agentic AI and orchestration needs

Source Decision Insights Coverage Published December 11, 2025 Companies 1
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15th article in the last 90 days, one of 15 articles referencing Lumen. Previous coverage: Corning details network refresh leveraging Itential automation platform (Nov 2025).

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Seniority
C Level / Executive Team
Job function
Chief Technology Officer
Persona
Platform / Infrastructure Operations Leader
Buyer role
Decision Maker / Budget Holder
Decision stage
How to start
Adoption curve
Early Adopters
Industry
Information Technology / Software & Services / IT Services / Cloud Services

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Futuriom Research's new analysis finds agentic Artificial Intelligence (AI), observability, and orchestration are converging to enable closed-loop operations across hybrid and multicloud infrastructure, and it urges enterprises to add governance and orchestration before deployment.

Research overview

The Futuriom Research report offers a data-driven assessment of how agentic AI, observability, and orchestration interact in hybrid and multicloud environments. The study maps an operating model intended to move telemetry into automated, policy-driven workflows.

Key findings

The report identifies rising complexity across datacenters, private and public clouds, and provider networks, and it notes that visibility without automated action leaves organizations exposed to fragmentation. It also highlights the need for standardized data and centralized policy to enable safe, repeatable AI-driven operations.

Technical breakdown

Futuriom defines agentic AI as systems that observe telemetry, interpret behavior, make decisions, and trigger actions, a step beyond static automation. “AI is non-deterministic, and we need to make it deterministic,” said Greg Freeman of Lumen.

Operational impact

The report frames a shift from task-based automation to outcome-focused orchestration that spans clouds, networks, and systems, enforcing policy and delivering deterministic workflows. Orchestration is presented as the integration layer that connects observability, AI Operations (AIOps), policy, and action to enable closed-loop operations.

Leadership perspective

The analysis lists practical priorities for infrastructure and network leaders: standardize data formats, centralize policy and governance, and build an orchestration layer that converts insights into governed actions. The report also includes case studies showing organizations that have applied orchestration to coordinate automation and improve consistency.

The overall takeaway: organizations should prioritize governance, data standardization, and orchestration to enable agentic, closed-loop operations; this “Blog Signals brief” is a fact-based summary of the vendor blog.

Blog post, originally published at itential.com.

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