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“Agentic AI,” or AI brokers, have been the discuss of the enterprise since late final yr. However what does this concept — utilizing massive language fashions (LLMs) to energy discrete operations and centered workflows — really appear like when deployed for actual into manufacturing?
Right here’s one cool instance I heard about not too long ago: Hewlett Packard Enterprise (HPE) subsidiary Axis Safety has teamed up with the Israeli AI startup xpander.AI to largely automate its buyer help ticketing system, scaling it throughout tens of 1000’s of finish customers at a few of the largest Fortune 500 companies on the planet working within the airline sector, hospitality and extra.
Via its partnership with xpander, Axis says it has managed to save lots of 1000’s of hours month-to-month and develop its staff sustainably, avoiding the expensive and time-consuming hiring of recent staff members by augmenting present workers with AI brokers.
“The ability to envision a feature and see it implemented within days without requiring engineering resources has been a game changer for us,” Nokky Goren, director of engineering at Axis Safety, mentioned in an interview with VentureBeat. “This is the future of enterprise technology.”
Why HPE acquired Axis Safety
Axis Safety, which was acquired by HPE in March 2023, focuses on safety companies edge (SSE) options, which improve enterprise community safety and streamline entry to company sources. The acquisition was a part of HPE’s technique to develop its safe entry companies edge (SASE) choices, combining Axis’ SSE platform with Aruba’s SD-WAN applied sciences. This unified strategy addresses the rising want for seamless, safe connectivity within the period of hybrid work and world operations.
Axis Safety’s SSE platform, Atmos, gives safe internet gateways (SWG), cloud entry safety brokers (CASB) and digital expertise monitoring (DEM). By becoming a member of HPE’s ecosystem, Axis gained entry to expanded sources, together with an intensive gross sales staff and technical help, which have been instrumental in driving buyer adoption and refining its options.
Why Axis turned to Xpander.AI
Recognizing the necessity for scalable options to handle rising workloads and enhance reliability, Axis Safety partnered with Xpander.AI to deploy superior multi-agent AI methods.
“Above the desk of my team, I have a sign that says, ‘automate everything,’” Goren famous. “I always teach them that whenever a task is done more than once, that’s something we should focus on automating…we should put our attempts into never having to manually do that same operation twice.”
Xpander’s Agent Graph System (AGS) has been central to this effort. In contrast to conventional automation instruments, AGS constructions workflows into multi-step processes managed by interconnected AI brokers. These brokers intelligently navigate API calls and duties, making certain precision and effectivity.
“Multi-agent AI changed everything for us,” mentioned Goren. “With Xpander’s tools, we automated complex tasks like ticket enrichment and customer communication workflows without writing a single line of code.”
Tangible real-world time and value financial savings due to agentic AI for the enterprise
One in all Axis’ most transformative use circumstances for Xpander’s expertise includes buyer help ticket administration.
Utilizing Xpander’s AGS, Axis automated the retrieval and contextualization of diagnostic knowledge for help tickets. This method now:
- Routinely queries a number of inside methods for related knowledge.
- Contextualizes this info right into a unified report.
- Identifies related previous incidents for quicker decision.
“Previously, no human could feasibly comb through thousands of tickets to find contextual matches,” Goren defined. “Now, AI agents handle this within minutes, saving us countless hours.”
One other breakthrough has been automating root trigger evaluation (RCA) for system outages. Xpander’s multi-agent AI generates detailed RCA reviews by synthesizing monitoring knowledge and historic context. These reviews are reviewed and authorized by Axis’ staff earlier than being routinely communicated to clients and stakeholders.
Dependable and scalable options
Xpander’s expertise addresses one of many key limitations to enterprise AI adoption: Reliability. “AI systems are only as good as their ability to consistently deliver accurate results,” famous David Twizer, CEO of Xpander.AI. “Our platform ensures 100% reliability by using multi-agent frameworks that can seamlessly adapt to enterprise complexities.”
The collaboration additionally showcases the ability of adaptability in AI methods. Xpander’s platform helps integration with a variety of LLMs, enabling organizations like Axis to make use of the very best instruments for his or her particular wants. “We provide a platform where users can integrate the latest models from providers like OpenAI, Anthropic, and Nvidia, ensuring maximum flexibility and performance,” Twizer added.
What’s subsequent?
Axis Safety’s use of Xpander.AI highlights a broader pattern in enterprise expertise: The shift from generic software-as-a-service (SaaS) options to tailor-made, AI-driven workflows. By empowering groups to automate and customise processes, multi-agent AI methods are redefining what’s doable for enterprises worldwide.
With such partnerships, HPE and its subsidiaries are well-positioned to guide the cost in integrating AI and safety on the core of enterprise operations.
