Revolutionizing Enterprise Operations with Agentic AI
Understanding Agentic AI in Action
The concept of “Agentic AI” has gained immense traction within corporate industries since late 2022. Yet, what does it truly entail when applied to real-world operations? The utilization of large language models (LLMs) for harnessing targeted workflows and discrete processes is one way organizations are capitalizing on this innovative technology.
A Case Study: Axis Security and Xpander.AI
A notable instance that exemplifies the effective integration of Agentic AI comes from Axis Security, a subsidiary under Hewlett Packard Enterprise (HPE). Partnering with Israeli startup xpander.AI, Axis has automated its customer support ticket system significantly, serving tens of thousands of users across various Fortune 500 companies in sectors such as airlines and hospitality.
By collaborating with xpander.AI, Axis has reportedly reclaimed thousands of hours each month. This achievement allows their existing personnel to operate more efficiently without the financial burden or time consumption associated with recruiting new staff—a remarkable enhancement powered by AI agents.
“The capacity to conceptualize a feature and see it operational within days—without demanding engineering resources—has revolutionized our approach,” said Nokky Goren, Director of Engineering at Axis Security during an interview. “This represents the future trajectory for enterprise technology.”
Reasons Behind HPE’s Acquisition of Axis Security
In March 2023, HPE acquired Axis Security—a strategic move aimed at enhancing its secure access service edge (SASE) portfolio by integrating the security services edge (SSE) platform developed by Axis alongside Aruba’s SD-WAN technologies. This combination is a direct response to the increasing necessity for seamless and secure connectivity amid hybrid work environments worldwide.
Axis’s Atmos platform delivers advanced capabilities such as secure web gateways (SWG), cloud access security brokers (CASB), and digital experience monitoring (DEM). By joining forces with HPE’s extensive infrastructure, including robust sales teams and technical expertise, Axis significantly bolstered its customer reach while refining its product offerings.
The Motivation Behind Partnering with Xpander.AI
Acknowledging an escalating demand for scalable solutions amidst rising workloads led Axis Security to join forces with Xpander.AI.
“I keep a sign over my team’s workspace that reads ‘automate everything,’” Goren remarked. “My constant advice is that any task performed repetitively should be prioritized for automation; our goal should be eliminating manual repetition altogether.”
Xpander’s innovative Agent Graph System (AGS) plays a pivotal role in achieving this vision. Unlike conventional automation approaches that focus on singular tasks, AGS allows complex workflows to be managed by interlinked intelligent agents adept at precision API interactions—all designed to enhance efficiency dramatically.
“Multi-agent AI transformed our operations,” explained Goren. “With tools from Xpander, we automated intricate tasks like ticket enrichment without having written even a single line of code.”
Real Results: Time Savings through Agentic AI
One standout application showcasing the impact of Xpander’s technology on operation efficiency involves automating customer support-related ticket management:
- Automated Information Retrieval: The system automatically queries multiple internal databases.
- Contextual Report Generation: Relevant data is unified into comprehensive reports.
- Historical Incident Detection: It swiftly identifies past incidents related to current queries for rapid resolution.
“No human could effectively sift through thousands of tickets for context,” elaborated Goren. “Now our artificial agents accomplish this task in mere minutes—saving us countless hours.”
Additionally, root cause analysis automation presents another impressive leap forward. Utilizing multi-agent systems from Xpander allows detailed RCA reports derived from continuous monitoring data along with historical contexts—all reviewed prior to dissemination among clients or stakeholders seamlessly.
Ensuring Reliable and Scalable Solutions
Reliability remains crucial in encouraging enterprise adoptionof AI technologies; according to David Twizer CEO at xpander.AI: “AI systems must consistently deliver accurate outcomes.” Their architecture guarantees complete reliability via adaptable frameworks capable enough handle enterprise complexities fluidly.
Moreover,Xpanders platform supports integration across different large language models tailored specifically towards client needs allowing organizations greater flexibility regarding model selections—while elevating overall performance potentials shared Twizer during discussions about adapting LLMs like those offeredby OpenAI or Nvidia into existing ecosystems .
Future Directions
Axis’s collaborationwith XPANDER showcases an evolving trend across modern enterprises towards customized workflow solutions rather than standard software-as-a-service models.In giving teams autonomy foundwithin intelligent process automation drivenmulti-agent frameworks—they redefine capabilities available globally amongst businesses engaged today!
With continued partnerships,Hewlett Packard Enterprises’ subsidiaries position themselves strategically at forefronts advancing both enterprise functionality gains alongside enhanced integrated security features foundational next-generation operational landscapes shaping tomorrow!
Daily insights on business use cases available via VB Daily!Strategies shared here empower you solidify your understandingof generative AIs emerging trends while maximizing potential return investments through actionable industry snapshots!
