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“Agentic AI,” or AI brokers, have been the discuss of the enterprise since late final 12 months. However what does this concept — utilizing massive language fashions (LLMs) to energy discrete operations and targeted 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 Security has teamed up with the Israeli AI startup xpander.AI to largely automate its buyer help ticketing system, scaling it throughout tens of hundreds of finish customers at a number of the largest Fortune 500 corporations on the planet working within the airline sector, hospitality and extra.
By way of its partnership with xpander, Axis says it has managed to avoid wasting hundreds of hours month-to-month and develop its staff sustainably, avoiding the expensive and time-consuming hiring of recent staff members by augmenting current workers with AI brokers.
“The power to examine a characteristic and see it applied inside days with out requiring engineering assets has been a recreation changer for us,” Nokky Goren, director of engineering at Axis Safety, stated in an interview with VentureBeat. “That is the way forward for enterprise expertise.”
Why HPE acquired Axis Safety
Axis Safety, which was acquired by HPE in March 2023, makes a speciality of safety providers edge (SSE) options, which improve enterprise community safety and streamline entry to company assets. The acquisition was a part of HPE’s technique to develop its safe entry providers edge (SASE) choices, combining Axis’ SSE platform with Aruba’s SD-WAN applied sciences. This unified method 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 assets, together with an in depth 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 staff, I’ve an indication that claims, ‘automate all the things,’” Goren famous. “I all the time train them that every time a process is finished greater than as soon as, that’s one thing we should always give attention to automating…we should always put our makes an attempt into by no means having to manually do that very 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 modified all the things for us,” stated Goren. “With Xpander’s instruments, we automated complicated duties like ticket enrichment and buyer communication workflows with out writing a single line of code.”
Tangible real-world time and price financial savings because of agentic AI for the enterprise
Certainly one of Axis’ most transformative use instances for Xpander’s expertise entails 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 comparable previous incidents for sooner decision.
“Beforehand, no human may feasibly comb by means of hundreds of tickets to seek out contextual matches,” Goren defined. “Now, AI brokers deal with this inside minutes, saving us numerous 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 authorised by Axis’ staff earlier than being robotically communicated to clients and stakeholders.
Dependable and scalable options
Xpander’s expertise addresses one of many key boundaries to enterprise AI adoption: Reliability. “AI methods are solely nearly as good as their capacity to constantly ship correct outcomes,” famous David Twizer, CEO of Xpander.AI. “Our platform ensures 100% reliability through the use of multi-agent frameworks that may 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 perfect instruments for his or her particular wants. “We offer a platform the place customers can combine the newest fashions from suppliers like OpenAI, Anthropic, and Nvidia, making certain most flexibility and efficiency,” 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 potential for enterprises worldwide.
With such partnerships, HPE and its subsidiaries are well-positioned to steer the cost in integrating AI and safety on the core of enterprise operations.
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