Stop Buying AI Hype and Better Prepare for True Agentic AI Investment
Summary
CRM and Contact Center as a Service (CCaaS) vendors are aggressively positioning their AI platforms as “agentic”, claiming systems that can autonomously reason, adapt, and act without being programmed for every scenario. While platforms have evolved from rigid rules-based systems to more flexible workflows, most still operate deterministically. As a result a discrepancy between marketing and technical reality is widening, creating a credibility problem in enterprise AI procurement. Agentic AI capability must be validated through clearer agentic AI definition, behavioral testing, and buyer-side skill development. This research note outlines what’s required to help buyers cut through the noise and hold vendors accountable for the value true agentic AI should be delivering.
Key Take: Too many “AI-enabled” CCaaS and CRM applications are deterministic systems masquerading as autonomous agents. To avoid buyer regret, enterprises must be clear on what agentic AI means, use real-world edge-case testing, and improve internal skills to identify true agentic behaviors.