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Dialpad, the leading AI-powered business communications and agentic platform, has announced significant advancements to its Agentic AI Platform. These updates help enterprises bridge the gap from AI pilots to production by identifying high-impact use cases, validating ROI before launch, enabling no-code agent building, and embedding robust governance.
Enterprises face challenges in moving agentic AI from experimentation to scaled production, with many projects stalling at the pilot stage despite substantial investments. Dialpad’s enhancements address this by providing a clear path from insight to deployment.
“Enterprises aren’t struggling with AI ambition; they’re struggling with AI execution,” said Craig Walker, CEO and Co-founder of Dialpad. “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.”
Dialpad leverages nearly a decade of AI experience at scale, combining proprietary speech, intent, and task models with leading third-party LLMs. This architecture delivers real-time precision while continuously learning from interactions.
The platform supports end-to-end agentic AI workflows:
Dialpad already empowers human agents with live AI coaching, real-time transcription, sentiment analysis, and recaps across interactions.
Agent Studio democratizes AI agent creation with a conversational interface. Teams build custom agents for voice and digital channels without coding, incorporating enterprise data, workflows, security policies, and compliance requirements.
Guardian embeds governance throughout the agent lifecycle, monitoring interactions in real time to reduce risk, protect consumer data, and optimize performance continuously.
“The real value for customers right now is moving beyond retrospective analytics to understanding the specific impact and resolution rates ahead of time. This empowers the critical decision-making that delivers real business value,” said Hayley Sutherland, Research Manager, Conversational AI at IDC. “By showing them the quantifiable ROI before deployment, you help them reduce failed AI pilots and maximize ideal business outcomes that are linked strongly to strategic — yet data-based — decisions.”
“Healthcare organizations don’t have the luxury of trial and error when it comes to patient communications,” said Chris Martinez, Global Chief Information Officer at Healthcare Outcomes Performance Company (HOPCo). “Dialpad’s agentic AI capabilities helped us move from testing to enterprise-wide deployment with confidence by identifying where AI would have the greatest impact. As a result, we reduced resolution times, improved patient satisfaction, and maintained the strict governance our industry requires.”
Dialpad’s Agentic AI platform supports autonomous voice and digital agents, enhancing human workflows, driving resolution-powered interactions, and enabling confident production launches.
About Dialpad
Dialpad is the AI-first communications and agentic platform defining the next era of business conversations. From customer service to sales to unified communications, Dialpad delivers AI-enhanced experiences for customers worldwide like Randstad, Nasdaq, Express Scripts, T-Mobile, Motorola Solutions, Tractor Supply, and Texas Roadhouse. Backed by Andreessen Horowitz, Google Ventures, ICONIQ Capital, T-Mobile, OMERs and SoftBank, Dialpad is leading the Agentic AI revolution in business communications.
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