{"id":15018,"date":"2025-10-13T21:23:11","date_gmt":"2025-10-13T21:23:11","guid":{"rendered":"https:\/\/voice.ai\/hub\/?p=15018"},"modified":"2025-10-13T21:23:12","modified_gmt":"2025-10-13T21:23:12","slug":"dialpad-news","status":"publish","type":"post","link":"https:\/\/voice.ai\/hub\/ai-voice-agents\/dialpad-news\/","title":{"rendered":"What\u2019s Next for Dialpad? Breaking Dialpad News and Forecasts"},"content":{"rendered":"\n
Call center automation software keeps getting smarter, but many contact centers still lose time to slow call routing, shaky speech-to-text, and missed customer cues. Modern solutions increasingly rely on an IVR platform<\/a> to streamline call handling and improve customer interactions. Want to stay ahead by tracking Dialpad news and learning which updates actually lift customer experience, agent productivity, and business growth? This article guides you through Dialpad\u2019s next innovations in conversational AI, cloud communications, call transcription, and speech analytics so you can pick the changes that matter in the coming year. Dialpad News just announced the Agentic AI Platform<\/a>, a new offering that lets businesses build autonomous voice and text agents that act on behalf of users. These agents understand multi-step requests, plan actions, and execute them end-to-end across existing systems with secure connectors.\u00a0<\/p>\n\n\n\n The release emphasizes reusable Skills and Workflows to automate everyday journeys such as scheduling, order lookups, lead qualification, and account management, while keeping a seamless handoff to humans when needed.<\/p>\n\n\n\n For years, contact centers relied on brittle chatbots, static FAQs, and IVR menus that pushed work back on customers. Dialpad\u2019s platform replaces passive retrieval with agents that take real steps to resolve problems. <\/p>\n\n\n\n Craig Walker, CEO and Founder, put it plainly:<\/strong> <\/p>\n\n\n\n \u201cCustomer service has been operating on autopilot for years. We built the override.<\/em>\u201d <\/p>\n\n\n\n He tied this shift to Dialpad\u2019s history of real-time AI coaching for agents since 2018, illustrating how the company transitioned from assisting humans to enabling AI to act directly within workflows.<\/p>\n\n\n\n Dialpad reports these agents can resolve up to 70 percent of customer requests from day one. <\/p>\n\n\n\n Typical tasks include:<\/strong><\/p>\n\n\n\n When an agent needs help, it escalates to a human with the full context intact so the customer never repeats themselves. That reduces handle time, frees staff for complex work, and preserves customer trust by keeping data and intent intact across transitions.<\/p>\n\n\n\n The platform uses a model mix to choose the right balance of speed and sophistication per task. Dialpad runs its proprietary models and taps leading large language models where appropriate, routing requests to the best fit. <\/p>\n\n\n\n This hybrid approach keeps latency low for routine actions while enabling deeper reasoning for complex tasks, all within the communications stack, so teams avoid heavy integration projects.<\/p>\n\n\n\n Dialpad built low-code tools and sandbox simulations so teams can design, test, and deploy agents in weeks rather than quarters. Developers and business users reuse Skills and Workflows as building blocks, accelerating rollout across multiple customer touch points. What once required months of engineering now becomes a rapid iteration cycle that supports A\/B testing<\/a> and gradual scaling<\/a>.<\/p>\n\n\n\n Conversations carry across voice, chat, SMS, WhatsApp, and other channels with full history preserved. Continuity matters for customer experience and agent efficiency because it removes friction when conversations switch from an autonomous agent to a human. <\/p>\n\n\n\n The platform stores interaction context in a unified data layer so follow-ups feel natural and personal.<\/p>\n\n\n\n Dialpad designed enterprise-grade policy enforcement, PII redaction, and real-time safety monitoring into the platform. <\/p>\n\n\n\n Shezan Kazi, Head of AI Transformation at Dialpad, emphasized trust:<\/strong><\/p>\n\n\n\n \u201cOrganizations don\u2019t just need AI that can act they need AI they can trust to act.<\/em>\u201d <\/p>\n\n\n\n Customers can deploy production-grade voice and chat agents that connect to CRM and back office systems while keeping observability and strict controls on data access and actions.<\/p>\n\n\n\n The platform exposes secure connectors to CRM, support tools, and back office systems on a vendor-neutral foundation, allowing teams to continue using their existing technology stack. That reduces vendor lock-in and simplifies adoption for enterprises that already rely on best-of-breed products. Integrations are treated as first-class components, so agents act directly in the systems that drive outcomes.<\/p>\n\n\n\n Early adopters in healthcare, retail, real estate, recruiting, automotive, and legal services report faster resolutions, lower cost to serve, and higher customer satisfaction. <\/p>\n\n\n\n Examples include:<\/strong><\/p>\n\n\n\n These deployments show that agentic AI can reduce repetitive work and scale consistent handling across high-volume tasks.<\/p>\n\n\n\n Robin Gareiss, CEO and Principal Analyst at Metrigy, underscored the balance between automation and human judgment: \u201cThe trick for CX leaders will be knowing when humans should take the lead and vice versa.<\/em>\u201d <\/p>\n\n\n\n Dialpad\u2019s model supports that symbiosis by providing humans with context-rich transfers and using agent outcomes to retrain and refine agent behavior. Teams can monitor agent performance, set thresholds for escalation, and tune Skills as part of ongoing operations.<\/p>\n\n\n\n Key 2025 updates include:<\/strong><\/p>\n\n\n\n Dialpad also improved analytics, added more enterprise controls for safety and compliance, and extended industry templates to accelerate vertical adoption. These upgrades are part of a product announcement cadence that positions Dialpad as a leader in AI-driven CX tooling.<\/p>\n\n\n\n By automating routine tasks and preserving conversational context, teams see shorter average handle time, fewer transfers, and improved first contact resolution. Agents spend more time on high-value work while supervisors get richer coaching signals from integrated real-time coaching and performance analytics. The net effect is higher workforce productivity and improved customer metrics that matter to revenue and retention.<\/p>\n\n\n\n Dialpad frames this update as an architectural transformation for customer experience and contact center automation. The company leverages its communications platform heritage and AI investments to offer a product that acts rather than only informs. <\/p>\n\n\n\n That stance aims to change expectations for what contact center AI should do, pushing the market toward automation that integrates closely with the systems teams already use. What will CX leaders prioritize next as agentic AI becomes mainstream for contact center transformation?<\/p>\n\n\n\n \u2022 Dialpad Competitors This release centers on workforce management accuracy, coaching language controls, and resilience in integrations and transcription. It adds new WFM controls, improves language handling for coaching and AI transcripts, and resolves several critical bugs affecting contact edits and long call search. Install the desktop update or use the web portal to pick up these changes.<\/p>\n\n\n\n Admins can now map agent statuses to adherence reporting in Dialpad WFM. Map custom and existing statuses so adherence accurately reflects true agent activity, including non-queue work. This provides more precise reports on logged time, exceptions, and adherence gaps; reach out to your Customer Success Manager to join the Early Adopter Program for this feature.<\/p>\n\n\n\n Business hours configured in Dialpad will automatically sync to WFM. When your office hours vary by day or week, queue settings and schedule alignment update to match your configured hours. This feature is available in the Early Adopter Program; contact your Customer Success Manager for enrollment.<\/p>\n\n\n\n WFM activities now have a dedicated section in Dialpad WFM Settings. Create, edit, or delete activities from one place, confirm queue links to ensure reporting accuracy, and assign agents by skill for automated schedule creation. These controls simplify how non-call work and exceptions appear in forecasts and adherence reports.<\/p>\n\n\n\n Coaching admins can set IVR, voicemail, and AI language for trainees at the Coaching team level. Coaching teams initially inherit Office defaults, and admins can select a different language from the Coaching team settings to match trainee needs. This helps transcripts, AI coaching suggestions, and voicemail handling use the correct language model for trainees.<\/p>\n\n\n\n Unsaved fields such as notes, subject, and dispositions are now restored automatically when the Salesforce CTI or the Salesforce page is refreshed. This preserves in-progress work across tabs and reduces data loss when agents reload or switch contexts during a call.<\/p>\n\n\n\n Admins can add new words to the company dictionary for all AI-supported languages: <\/p>\n\n\n\n Adding domain-specific terms improves transcript accuracy and reduces misrecognition in calls and recordings.<\/p>\n\n\n\n Fixed an issue where some users could not edit a shared contact created by another team member. Shared contact edit permissions now function correctly across teams and offices.<\/p>\n\n\n\n Resolved a problem where the transcript search failed for terms inside long calls. Search now completes for extended recordings and returns accurate hit locations.<\/p>\n\n\n\n Several minor bugs and platform reliability issues have been addressed to enhance overall performance and stability. Routine backend optimizations and telemetry updates have been included to reduce intermittent errors.<\/p>\n\n\n\n Update your Dialpad desktop app or sign in to the Dialpad web portal to access the latest release. If you participate in Early Adopter Programs, contact your Customer Success Manager for access and enrollment details.<\/p>\n\n\n\n \u2022 Call Queue vs Auto Attendant Dialpad grew out of a lineage in telephony and unified communications that dates back to GrandCentral and Google Voice. <\/p>\n\n\n\n That heritage shaped its early product choices: <\/strong><\/p>\n\n\n\n Early hires from Google, including the CTO<\/a> who worked on Google Voice<\/a>, gave the company deep telecom engineering skills and the mindset to treat communications as a platform rather than a box. Those roots show in product design, but they also show in go-to-market choices. Channel partners proved to be the most efficient route for scaling communications services across various verticals and geographies, and the company leaned into those relationships early on.<\/p>\n\n\n\n In the beginning, Dialpad moved like many UCaaS vendors, courting SMBs and selling direct while experimenting with reseller relationships. Over time, the company formalized a partner program, expanded reseller and service provider relationships, and built distribution models to support enterprise rollouts. <\/p>\n\n\n\n More than half of Dialpad\u2019s revenue flows through the channel, reflecting a shift from small direct deals to partner-enabled large deals. The channel has matured from basic referral and resale to whole solution selling, where partners bundle Dialpad with services, integrations, and vertical solutions for customers who need scale and compliance.<\/p>\n\n\n\n Dialpad\u2019s channel mix includes:<\/p>\n\n\n\n The vendor supports partner-led deployments for large enterprises and joint sales motions for complex contact center and support use cases. Partners bring larger deals and domain expertise in verticals like retail and automotive. <\/p>\n\n\n\n The company supports service providers with APIs and integrations, allowing carriers and managed service firms to white label or embed Dialpad into broader portfolios. That approach increased the company\u2019s footprint in telco and IT ecosystems and helped embed Dialpad in customers who require managed connectivity and compliance.<\/p>\n\n\n\n Dialpad invested in APIs, SDKs, and platform features to let partners build custom integrations into CRM, workforce management, ticketing, and commerce systems. Those integrations turned Dialpad from a UCaaS product into a platform for conversational workflows and call center automation. <\/p>\n\n\n\n The partner ecosystem grew around those technical hooks:<\/strong><\/p>\n\n\n\n Platform openness also helped Dialpad land on RFPs where enterprise buyers insisted on interoperability and native integrations.<\/p>\n\n\n\n The new agentic AI platform shifts the economics of deployments by delivering vertical templates and automation inside the communications platform. Partners can now provision agents for:<\/p>\n\n\n\n In under 30 minutes using no-code templates that handle authentication, routing, scheduling, and order management. Human escalation<\/a> is built in so partners can design hybrid workflows where AI handles routine tasks and agents intervene on exceptions.\u00a0<\/p>\n\n\n\n That reduces delivery time and increases deal size because partners can layer in customization, systems integration, and managed services. Does this change who leads the sale? Often, the partner becomes the integrator and the trusted advisor for customization and ongoing operations.<\/p>\n\n\n\n Dialpad launched DialpadGPT in 2023, built on more than five years and 5 billion minutes of conversational data. Since then, the company has continued to expand its training corpus. The vendor now optimizes agentic models with upward of 11 billion minutes of business conversations and training data, which it uses to improve:<\/p>\n\n\n\n Running models on proprietary conversational data allows Dialpad to control privacy and compliance while reducing dependence on third-party LLM providers. That control becomes a channel selling point for partners handling regulated industries that demand data residency, auditability, and lower risk profiles.<\/p>\n\n\n\n Dialpad has offered real-time AI features since 2018 and has built operational plumbing for scale, latency, and security. The company employs a deep bench of PhDs and holds AI patents that undergird product differentiation. <\/p>\n\n\n\n Those prior investments mean the platform can serve latency-sensitive contact center use cases while giving partners predictable integration points. When partners evaluate call center automation software, the extensive history of production conversational AI provides a factual advantage in procurement discussions.<\/p>\n\n\n\n
To help with that, Voice AI’s text to speech tool<\/a> turns those insights into clear agent scripts, faster training audio, and natural virtual agent replies so teams improve CX and scale without extra work.<\/p>\n\n\n\nWhat’s New in Dialpad in 2025?<\/h2>\n\n\n\n
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From Chatbots to Real Action: Changing the Way Customers Get Help<\/h3>\n\n\n\n
Autonomous Resolution and Immediate Business Value<\/h3>\n\n\n\n
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Model Mix Architecture: Smart Selection for Speed and Depth<\/h3>\n\n\n\n
Low Code Agent Development That Ships Fast<\/h3>\n\n\n\n
Seamless Context Continuity Across Channels<\/h3>\n\n\n\n
Trust and Safety Built Into the Core<\/h3>\n\n\n\n
Vendor Neutral Connectors and Real System Integration<\/h3>\n\n\n\n
Use Cases and Early Adopters Seeing Measurable Gains<\/h3>\n\n\n\n
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Human and AI Collaboration: A Practical Playbook<\/h3>\n\n\n\n
Platform Enhancements and Service Expansion in 2025<\/h3>\n\n\n\n
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Operational Impact and Productivity Gains<\/h3>\n\n\n\n
Market Positioning and Strategic Vision for Contact Centers<\/h3>\n\n\n\n
Related Reading<\/h3>\n\n\n\n
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\u2022 How Artificial Intelligence Is Transforming Contact Centers<\/p>\n\n\n\nDialpad Release Notes 25.09.30<\/h2>\n\n\n\n
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Track Adherence Using Agent Statuses<\/h3>\n\n\n\n
Business Hours Sync Into Dialpad Wfm (EAP)<\/h3>\n\n\n\n
Activities Management for Dialpad WFM<\/h3>\n\n\n\n
Improvement: AI Language Control for Coaching Teams<\/h3>\n\n\n\n
Improvement: Salesforce CTI Resilience<\/h3>\n\n\n\n
Improvement: Expanded Company Dictionary Across Languages<\/h3>\n\n\n\n
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Critical Bug Fix: Edit Contact Issue<\/h3>\n\n\n\n
Critical Bug Fix: Transcript Search Failure in Long Calls<\/h3>\n\n\n\n
Other Fixes and Behind-The-Scenes Improvements<\/h3>\n\n\n\n
How to Get This Update<\/h3>\n\n\n\n
Have Questions or Need Enrollment for EAP Features?<\/h3>\n\n\n\n
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Related Reading<\/h3>\n\n\n\n
\u2022 Call Center Voice AI
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\u2022 Smart IVR<\/p>\n\n\n\nDialpad\u2019s Channel Strategy And Legacy<\/h2>\n\n\n\n
<\/figure>\n\n\n\n
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How The Channel Strategy Evolved Over Time<\/h3>\n\n\n\n
Partnership Models, Reseller Programs, and Service Provider Engagement<\/h3>\n\n\n\n
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Integrations, Developer Enablement, and Ecosystem Growth<\/h3>\n\n\n\n
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How Agentic AI Changes Channel Economics and Partner Roles<\/h3>\n\n\n\n
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Dialpadgpt, Proprietary Conversational Data, and Safety as a Competitive Edge<\/h3>\n\n\n\n
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How Prior AI Investments Shape Current Capabilities<\/h3>\n\n\n\n
Distribution, Enterprise Adoption, and The Reversal of The Adoption Curve<\/h3>\n\n\n\n