Forrester's Max Ball has distilled the conversational AI vendor landscape into 14 credible players from a field of 650, establishing clear selection criteria that separate genuine platforms from noise. The Wave report reflects a market in transition: vendors must simultaneously deliver bleeding-edge agentic capabilities whilst serving organisations still grappling with foundational LLM readiness. This tension defines the current state of conversational AI adoption. Ball's analysis reveals that the real competitive advantage lies not in autonomous agents themselves—which organisations demonstrably do not want yet—but in the tooling that democratises deployment. AI-driven code generation, synthetic testing, and discovery capabilities that identify high-value automation opportunities from historical call data are becoming table stakes. These tools address a critical gap: most CX teams lack dedicated developer resources to build self-service applications from scratch. The question for your team is whether your current vendor roadmap includes these development acceleration features, or whether you're evaluating platforms built primarily around agent capabilities you won't deploy for years.
The deployment reality Ball emphasises should reshape how you approach vendor selection and internal planning. Organisations should expect to start simple—FAQs, credit card holds, prescription refills—and scale deliberately rather than chase fully autonomous systems. This pragmatic sequencing matters because integration complexity, data access governance, and design skill gaps remain genuine blockers, not theoretical concerns. The readiness challenges around hallucinations and jailbreaks are not being solved by vendors alone; they require your team's active participation in defining safeguards and testing protocols. What this means operationally is that your platform choice should be evaluated partly on how well it supports incremental, low-risk deployment rather than on its agentic capabilities alone. Ball's insight that organisations have "zero appetite" for fully autonomous customer-facing applications in the near term should liberate your team from vendor pressure to over-invest in autonomous features, allowing you to focus procurement on platforms that excel at the hybrid, human-supervised models 73% of enterprise CX leaders already prefer.
Conversational AI is making waves and agentic AI implementations are real. Companies should experiment now, Ball says.