Dialpad Advances Agentic AI Platform

Dialpad, a business communications and agentic platform provider, today introduced capabilities that enable organizations to identify the specific agentic artificial intelligence use cases that will deliver the greatest impact, build high-performing AI agents designed for those use cases, and validate AI agent outcomes before going live.

Advancements include the ability to analyze historical conversation data to pinpoint customer experience gaps, enable no-code AI agent creation for voice and digital channels, and enhance resolution-driving analytics. Additionally, a new layer of AI governance was introduced to reduce business risk, limit consumer data exposure, and continually optimize performance to deliver the outcomes customers care about most.

"Enterprises aren't struggling with AI ambition; they're struggling with AI execution," said Craig Walker, CEO and co-founder of Dialpad, in a statement. "Billions have been spent on agentic AI, but too many projects stall before delivering real, measurable results. Our latest platform advancements eliminate the guesswork, helping organizations identify the right use cases, validate ROI before launch, and deploy AI agents that are safe, governed, and ready for production from day one."

With the latest enhancements, organizations can do the following:

• Analyze historical conversations to pinpoint friction points and prioritize high-impact AI use cases with Skill Mining.
• Validate and optimize AI agent performance and ROI before deployment with Proving Ground.
• Turn every conversation into measurable business impact with closed-loop analytics that unify AI conversation data and contact center performance metrics, including resolution, average handle time, and customer satisfaction.

With Agent Studio, Dialpad brings governed, enterprise-grade AI agent creation to both digital and voice channels . Agent Studio provides a conversational AI interface for building AI agents with an ecosystem of connectors and custom actions, ensuring AI agents align with company workflows, security policies, and compliance standards.

Dialpad also introduced Guardian, a real-time safety supervisor that continuously monitors agentic AI interactions to reduce data exposure risk and ensure compliance across deployments.