Dialpad has announced significant advancements to its Agentic AI Platform aimed at helping enterprises overcome the common hurdle of transitioning AI initiatives from pilot phases to full production, with built-in tools that identify high-impact use cases, validate ROI before deployment, and govern scaled operations safely and efficiently. The new capabilities revealed at Enterprise Connect 2026 allow organizations to analyze historical conversation data to uncover customer experience gaps, use no-code tools to build AI agents for both voice and digital channels, and apply closed-loop analytics to tie AI performance to key contact center metrics like resolution rates, handle times, and customer satisfaction, enabling businesses to quantify value before going live. A core focus of the release is reducing risk and accelerating adoption: Dialpad added an AI governance layer designed to limit data exposure, ensure compliance, and continuously optimize agent outcomes, alongside Guardian, a real-time safety monitor embedded into the agent lifecycle that helps maintain operational maturity without slowing innovation. The company points out that although 79% of organizations employed AI agent technology in 2025 and total spending is predicted to hit $155 billion by 2030, about half of the agentic AI initiatives are still at the pilot stage, thus, delaying the achievement of measurable results; Dialpad’s upgrades are designed to remove uncertainty and enable businesses to confidently roll out well, governed, high, performing agents.
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The platform features Agent Studio, a conversational interface for constructing enterprise, grade agents without the need for coding, which helps to guarantee that the agents are in line with security policies, workflows, and compliance requirements, and also Dialpad’s, long established, AI features such as real, time transcription, sentiment analysis, coaching, and recap generation, are still powering human agents throughout customer interactions. “Enterprises aren’t struggling with AI ambition; they’re struggling with AI execution,” said Craig Walker, CEO and Co-founder of Dialpad, underscoring the need for tools that connect experimentation to real, measurable business impact. Analyst Hayley Sutherland from IDC added that showing quantifiable ROI before deployment helps reduce failed pilots and maximize ideal business outcomes. The updated Agentic AI platform is available now and will be showcased at Enterprise Connect 2026 in Las Vegas.