Dialpad

Dialpad is an AI customer experience platform built around business voice, built for teams that run customer conversations across phone, video, messaging, contact center, and digital channels. Its current homepage leads with a simple problem: customer signals are everywhere, in calls, messages, and interactions that each live in their own channel, cut off from what came before, so businesses log more interactions than ever without understanding the customer any better. Dialpad positions its platform as the place that connects conversations, customer context, and workflows, so teams and AI can resolve needs faster with the full picture in view, rather than automating without context and delivering the wrong response faster. The platform is organized around coordinated action. Resolve is its agentic layer for customer experience, with prebuilt and custom AI agents for voice and digital work: it is meant to understand the customer and the context behind an interaction, orchestrate the right response across people, AI, and workflows, act on that understanding inside the systems where work gets done, and learn from each outcome so the next interaction improves. Support is the voice and digital contact center side, Sell covers outbound sales work with smarter outreach, real time coaching, and automated follow up, and Connect is the team collaboration side, bringing voice, video, messaging, and AI into one app so teams work with full context. Dialpad also stresses governed AI, with controls, visibility, and human oversight for building, testing, deploying, and improving agents, plus enterprise grade security, reliability, and control, and integrations with tools such as Salesforce, Zendesk, Microsoft Teams, and Google Workspace, so context is not lost between systems. Pricing is described qualitatively only, as Dialpad presents it on its pricing page: the agentic AI offer is sold with custom pricing, and Dialpad prices it the same way customers experience it, one conversation at a time. Customers purchase a pool of AI Agent Credits, credits are used only when the AI delivers value, and if no work is done there is no charge. A conversation is billable only when the AI retrieves information or executes a real action such as scheduling, routing, or an order lookup. The same page frames the buying motion around designing custom voice and digital experiences for a use case, setting bounded actions across approved tools and workflows, coordinating human and AI agents across handoffs and escalations, and testing, supervising, and measuring outcomes as usage scales, including coordinated multi agent teams.