Be a part of our each day and weekly newsletters for the most recent updates and unique content material on industry-leading AI protection. Be taught Extra
“Agentic AI,” or AI brokers, have been the speak of the enterprise since late final 12 months. However what does this concept — utilizing giant language fashions (LLMs) to energy discrete operations and targeted workflows — truly seem 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 assist ticketing system, scaling it throughout tens of 1000’s of finish customers at among the largest Fortune 500 companies on the planet working within the airline sector, hospitality and extra.
By its partnership with xpander, Axis says it has managed to save lots of 1000’s of hours month-to-month and develop its workforce sustainably, avoiding the pricey and time-consuming hiring of latest workforce members by augmenting present staff 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, 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 increase 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 international operations.
Axis Safety’s SSE platform, Atmos, supplies 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 workforce and technical assist, 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 techniques.
“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. Not like 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 price financial savings because of agentic AI for the enterprise
One among Axis’ most transformative use instances for Xpander’s expertise entails buyer assist ticket administration.
Utilizing Xpander’s AGS, Axis automated the retrieval and contextualization of diagnostic information for assist tickets. This technique now:
- Routinely queries a number of inside techniques for related information.
- Contextualizes this data right into a unified report.
- Identifies comparable previous incidents for sooner 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 experiences by synthesizing monitoring information and historic context. These experiences are reviewed and accepted by Axis’ workforce 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 techniques. 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 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 development 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 techniques 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.
