Cisco resolved 145,000 support cases entirely through agentic AI with zero human intervention during FY2026, demonstrating that autonomous agents can now handle defined support tasks at scale without employee oversight. The company embedded its proprietary Circuit assistant across its CX operations, running on a secure AI infrastructure that optimises GPU utilisation and routes tasks to appropriate language models based on token consumption. This represents a meaningful shift from AI-as-assistant to AI-as-operator, where agents manage complete customer journeys independently. However, the critical gap in Cisco's announcement lies in what it measures: the company reports operational efficiency metrics rather than customer outcomes. Resolving 145,000 cases autonomously proves automation capability, but leaves unanswered whether customers experienced faster resolutions, better first-contact resolution rates, or improved satisfaction—the metrics that actually drive retention and revenue. For CX leaders evaluating agentic AI investments, this distinction matters enormously. The question becomes whether your organisation should prioritise demonstrating autonomous case volume or proving that autonomous resolution improves the customer experience itself, particularly when budget constraints are forcing enterprises to reprioritise spending across infrastructure, security, and support simultaneously.
Cisco's infrastructure costs are reshaping customer investment priorities in ways that complicate agentic AI adoption. The company is passing price increases to customers—contributing five percentage points to Q4 revenue growth with another four to five points expected in FY2027—whilst customers simultaneously report reprioritising within existing budgets rather than expanding them. This creates a structural tension: enterprises want agentic AI for support efficiency, but they're also investing heavily in AI infrastructure, networking upgrades (Cisco's networking orders for AI deployments grew 85%), and security controls (6,400 new security customers acquired in Q4). For support teams, this means agentic AI adoption will increasingly compete with other technology priorities rather than represent additive spending. The implication is that demonstrating clear ROI on autonomous agents becomes non-negotiable; teams cannot rely on budget expansion to justify implementation costs. Additionally, as enterprises distribute AI workloads across different deployment environments and models, CX teams will need to establish governance requirements around data access, latency, and compliance—adding operational complexity that extends beyond traditional support platform management.
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Agentic AI is beginning to produce tangible CX metrics, with Cisco reporting that AI independently resolved 145,000 support cases. Having positioned the technology as a tool to improve both service operations and commercial outcomes, this ensures faster support for stronger customer retention. A
From a major Five9 CCaaS deal to Zuckerberg’s AI agent vision, here are extracts from this week’s most popular news stories. Five9 Wins $100M Financial Services CCaaS Contract Five9 has landed a major Fortune 100 financial services CCaaS deal worth approximately $100 million in total contract