At Enterprise Connect 2026, Dialpad unveiled a series of new enhancements for its Agentic AI platform, designed to transition AI projects from experimental phases to full-scale deployments. With a focus on bridging the “AI execution gap,” Dialpad aims to tackle the challenge of converting AI pilots into operational solutions that deliver measurable business benefits.
The surge in AI adoption is notable, with a whopping 79% of companies integrating AI agent technology by 2025. However, stumbling blocks remain, as half of these projects stall at pilot stages. Craig Walker, CEO of Dialpad, sees the true hurdle not in ambition, but in executing AI effectively. “Enterprises aren’t struggling with AI ambition – they’re struggling with AI execution,” Walker stated. The firm’s latest advancements aim to streamline the journey from ideation to deployment, foregoing hours of guesswork.
New capabilities, such as Skill Mining, are part of Dialpad’s enhanced offerings. By analyzing historical conversation data, Skill Mining reveals friction points in customer interactions, spotlighting areas ripe for AI-driven automation. This not only promises smoother customer experiences but also improved operational efficiencies.
Another innovation is Proving Ground, providing a sandbox for testing AI agent performance before it goes live. This feature allows organizations to simulate outcomes, ensuring confidence in their AI investment and its expected returns. Dialpad has also integrated enhanced analytics, which marry AI interactions with real-world business outcomes, offering a clear view of automation impacts on KPIs like resolution rates and customer satisfaction.
Hayley Sutherland from International Data Corporation emphasizes the value of predictive impact assessments in decision-making. “The real value for customers right now is moving beyond retrospective analytics to understanding the specific impact and resolution rates ahead of time,” she remarked.
Additionally, Dialpad introduced Agent Studio, a no-code environment enabling businesses to create custom AI agents. This democratizes the development process, allowing businesses to deploy AI without specialized coding skills.
Dialpad’s commitment to governance and security is evident in their new Guardian feature. Acting as a safety supervisor, Guardian ensures regulatory compliance and reduces data exposure risks, instilling confidence in scaling AI operations.
AI technology is already a cornerstone for Dialpad’s clientele. The platform boasts a 97% AI adoption rate among its contact center customers. Features such as real-time transcription and sentiment analysis assist human agents, enhancing service delivery.
In conclusion, with these advancements and tools, Dialpad is positioning its Agentic AI Platform as a comprehensive solution for businesses seeking to move past AI experimentation into robust, automated operational frameworks in their communications infrastructure.
