Artificial intelligence dominated headlines and keynotes at every event I’ve attended this year, including the recent Cisco Live 2026. Though the thirst for AI has been insatiable for a couple of years, customer feedback at the event showed that the era of AI curiosity has given way to AI urgency.
Information technology and business leaders are no longer satisfied with conversational chatbots or basic AI scribes that merely summarize meetings or draft text. They want systems that proactively identify and resolve problems across their massive, complex IT estates.
The industry is rapidly moving toward autonomous, agentic artificial intelligence — that is, systems that can observe, reason, plan and execute tasks across distributed environments without human intervention. Yet doing this at an enterprise scale is proving remarkably difficult.
Production-ready agentic AI is something startup Fabrix.ai has been developing for a couple of years. At Cisco Live, I stopped by the AI Village to get an update on the vendor’s progress. At the booth, Fabrix.ai demonstrated a multi-vendor, multi-agent platform designed specifically for enterprise operations that customers can run today.
To understand why what Fabrix.ai is building is important, it’s vital to understand the state of traditional operations. For decades, IT teams have operated in a strictly reactive mode. The typical enterprise uses seven to 10 monitoring tools per department. When an outage or performance degradation occurs, these fragmented point tools unleash a storm of alerts. What follows is the notorious “swivel-chair” choreography: subject matter experts jumping from console to console, interpreting logs, reading dashboards and manually correlating issues across network, security and cloud silos.
This model has not and will never scale. Traditional AIOps suffered from a critical “last-mile” problem. It was highly effective at generating and clustering alerts, but it still left the actual analysis and manual remediation to humans. This friction strains organizations and stalls digital transformation.
According to data cited by Fabrix.ai, failed IT modernization initiatives drain an astonishing $2.3 trillion annually, and 70% of digital transformation programs fail to deliver their promised outcomes. The industry requires a fundamental evolution from AIOps to agentic operations. IT pros need AI agents that not only alert that a fire has started but also autonomously trace the root cause, assess the blast radius and execute remediation before a human analyst even opens a ticket.
If the value of AgenticOps is so obvious, why hasn’t every enterprise deployed it? The reality is that building a unified control plane capable of steering autonomous agents is an architectural nightmare. In fact, fewer than 5% of enterprises have achieved measurable return on investment from their AI initiatives, and only 13% feel truly ready for AI, according to Cisco’s own Readiness Index.
Enterprise architectures are blocked by four compounding debts:
Fabrix.ai is tackling these hurdles head-on with a vendor-neutral, full-stack AgentOps platform. Rather than forcing companies to undergo expensive rip-and-replace migrations, Fabrix sits atop an organization’s existing software estate via a unique Robotic Data Automation Fabric or RDAF layer.
“At the core of the Fabrix platform is its multi-agent, Mythos-ready orchestration and Reasoning Layer, which coordinates specialized digital workers across disciplines. Instead of relying on a single, massive generic model, Fabrix uses domain-aware, AI-engineered hierarchical agents, specifically for ITOps, SecOps and NOC use cases,” explained Shailesh Manjrekar, chief marketing officer for AI strategy.
The platform’s architectural pillars map precisely to the challenges mentioned above:
One of the most interesting components demonstrated at the event was CollabOps. Most enterprise collaboration tools use AI defensively, primarily as a passive scribe on the sidelines, generating transcripts. Fabrix.ai flips this script by making Voice AI agents active participants in the conversation.
With an ambient listening pattern, a Fabrix digital worker can be invited directly into meeting rooms and channels across Webex, Microsoft Teams, Zoom, and Slack. During a live incident bridge, engineers don’t need to leave the call to query data. They can simply speak to the ambient agent: “Hey Fabrix, check the health of the wireless network in Building C” or “Run an RCA on incident CFX-2026.”
The agent processes the request through the semantic data layer, performs automated root cause analysis, runs safe diagnostic checks and drops the live interactive link directly into the channel chat in real time. Furthermore, Fabrix highlighted that this ambient architecture is extending directly into front-line Cisco Webex Contact Center environments to assist agents with live case reconciliation and sentiment triage.
For highly regulated verticals such as healthcare, financial services and the public sector, moving operational data to public cloud LLMs is out of the question due to compliance and data sovereignty constraints.
To address this, Fabrix.ai announced at the show that it has become a certified independent software vendor for the Cisco Secure AI Factory and Unified Edge. For customers seeking a fully sovereign, air-gapped AI infrastructure, Fabrix can deploy its entire AgentOps platform natively on-premises on Cisco AI PODs, using local LLMs/GNNs.
By running locally on GPU-optimized, Cisco-validated compute (including UCS Series and Nexus Dashboard infrastructures), enterprise buyers gain the full power of cross-domain agentic reasoning and real-time cluster observability, with their proprietary telemetry data never leaving their physical control. Fabrix estimates that this on-premises architecture can reduce total cost of ownership by 30% to 40% compared with equivalent public cloud deployments.
The proof, as always, lies in the production metrics. Fabrix showcased several customer case studies across diverse verticals, demonstrating that this architecture has moved beyond the experimentation phase:
The transition to agentic operations will fundamentally change the day-to-day realities for IT professionals. For engineers and operational leaders seeking to navigate this shift successfully, I offer the following advice:
The shift from reactive dashboards to proactive, autonomous operations is no longer a futuristic concept. Platforms such as Fabrix.ai demonstrate that with the right data federation and governance models, agentic operations can deliver substantial, measurable efficiency today.
Zeus Kerravala is a principal analyst at ZK Research, a division of Kerravala Consulting. He wrote this article for SiliconANGLE.
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