New Cisco Analysis Reveals Overwhelming Demand for Agentic AI to Remodel the Manner Expertise Distributors Ship Buyer Expertise
With agentic AI reaching a brand new degree of maturity, we’re nearer than ever to fixing a number of the most persistent buyer ache factors in enterprise environments. As an illustration, a major share of community points stem from misconfiguration, one thing agentic programs are poised to eradicate. That shift will result in smarter networks, stronger safety, and extra productive groups. As an trade, we’ve been speaking about these ideas for many years, and whereas we’ve made incremental progress, AI – and particularly agentic AI – could make that imaginative and prescient a actuality.
Think about a world the place prospects by no means should recap their state of affairs to a brand new assist agent, the place points are resolved earlier than they’re ever skilled by an end-user, and the place each interplay feels tailor-made to particular person wants and enterprise outcomes. That’s not only a higher expertise; it’s a transformational one. That is the agentic way forward for Buyer Expertise (CX).
The advantages are clear and compelling, however how prepared are organizations to undertake agentic AI? Whereas prospects are wanting to reap the advantages of AI, how snug do they actually really feel interacting with AI brokers as a substitute of people, and what are the consequences on the shopper relationship if one thing doesn’t work precisely as deliberate?
These are the sorts of questions we had in thoughts once we launched our most up-to-date analysis examine, surveying almost 8,000 enterprise and technical decision-makers worldwide on the way forward for agentic AI.
The findings confirmed some preconceived notions and completely challenged others. We all know that AI is progressing extremely quick and that it’s altering almost every thing about how we work, stay, construct, function, and talk. These statements are virtually clichés at this level however are nonetheless true. What we didn’t solely anticipate is the ripple impact that AI is having throughout buyer expectations, and the pressing want for know-how distributors, a lot of whom are nonetheless solely exploring the potential for agentic AI in buyer expertise, to speed up their methods.
Listed below are three key takeaways from the report.
Key Findings
- The Advantages of Agentic AI are Clear – and Demand is Hovering.
93% of world respondents consider that agentic AI will allow B2B know-how distributors to ship extra personalised, proactive, and predictive companies, bettering productiveness and creating time and price financial savings. And the demand is intensifying. 56% of respondents count on their buyer expertise interactions might be dealt with by agentic AI inside simply 12 months, and that quantity jumps to 68% inside three years. - Human Connection Stays Important.
Regardless of the joy round AI, folks nonetheless want folks. Clients need us to mix the effectivity of agentic AI with human connection to optimize buyer expertise. An awesome 96% of respondents stated that human relationships are essential when interacting with B2B know-how companions. Because of this discovering the best steadiness between human and machine is without doubt one of the most necessary challenges leaders face at the moment. - Sturdy Governance is Non-Negotiable.
Clients perceive, maybe higher than anybody, that AI have to be deployed responsibly. A exceptional 99% of respondents acknowledged that it’s necessary for know-how companions to reveal strong governance preparations to ship moral use of agentic AI. They demand transparency, safety, and a dedication to eliminating information bias
Wanting Forward
At Cisco, we’re drawing on 4 many years of information, our deep trade information, and the belief of our prospects to re-imagine Cisco Buyer Expertise as agentic AI-led. This analysis has validated our imaginative and prescient for the agentic way forward for buyer expertise however has additionally made one factor clear: we’ve to maneuver sooner.
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