Dialpad Contact Center

From WFM Labs

Dialpad Contact Center is an AI-native cloud communications platform that combines unified communications as a service (UCaaS) and contact center as a service (CCaaS) capabilities with built-in voice intelligence, real-time transcription, and AI-powered coaching. Founded in 2011 by Craig Walker (who previously founded and sold GrandCentral to Google, where it became Google Voice), Dialpad has positioned itself as an AI-first communications company where artificial intelligence is embedded at the platform level rather than added as a feature layer.[1]

Dialpad entered the workforce management space through its 2024 acquisition of Surfboard, a London-based WFM startup focused on modern support team scheduling. The acquisition added forecasting, scheduling, and capacity planning capabilities to Dialpad's contact center platform, enabling it to offer an integrated CCaaS+WFM solution. Combined with Dialpad's AI capabilities — including real-time transcription, automated coaching, sentiment analysis, and AI-driven deflection rate forecasting — the platform represents an emerging approach to managing hybrid human+AI contact center workforces.[2]

Company Overview

Dialpad was founded in 2011 in San Francisco by Craig Walker and Brian Peterson. Walker's background is notable: he founded GrandCentral Communications, a voice-over-IP startup acquired by Google in 2007 for $95 million. GrandCentral became Google Voice, one of the most widely used consumer VoIP services. This pedigree in voice technology and AI-driven communications directly informed Dialpad's founding vision.[3]

The company raised over $230 million in venture funding, including a $170 million Series F in 2021 at a $2.7 billion valuation led by ICONIQ Growth. Dialpad serves over 30,000 businesses globally, ranging from small businesses to enterprises with thousands of agents.

Dialpad's product portfolio includes:

  • Dialpad Ai Voice — Cloud business phone system (UCaaS) with built-in AI.
  • Dialpad Ai Contact Center — Cloud contact center (CCaaS) with AI-native capabilities.
  • Dialpad Ai Sales — AI-powered outbound sales engagement platform.
  • Dialpad Ai Meetings — Video conferencing with real-time transcription and summarization.

The unified platform approach means that contact center agents, back-office workers, and general business users can all operate on a single communications infrastructure — a value proposition that resonates with organizations seeking to consolidate vendor relationships and enable seamless internal collaboration alongside customer-facing operations.

Key Milestones

Year Milestone
2011 Founded by Craig Walker (creator of Google Voice) and Brian Peterson
2014 Launched cloud business phone system
2017 Introduced AI-powered voice transcription (VoiceAI)
2018 Launched contact center product; expanded AI capabilities
2019 Acquired TalkIQ to accelerate voice intelligence
2020 Accelerated growth during remote work shift; expanded CCaaS features
2021 $170M Series F at $2.7B valuation; over 70,000 businesses served
2022 Launched Ai CSAT, Ai Scorecards; expanded enterprise features
2023 Introduced generative AI features; Ai Recaps, Ai Playbooks
2024 Acquired Surfboard for WFM; launched integrated CCaaS+WFM platform

Platform

Voice Intelligence (Ai)

Dialpad's core technical differentiator is its proprietary voice intelligence engine, branded as Dialpad Ai. Unlike competitors that integrate third-party speech recognition (e.g., Google Speech-to-Text, AWS Transcribe), Dialpad built its own speech recognition and natural language processing models:

  • Real-time transcription — Live speech-to-text during all voice interactions with speaker separation and punctuation. Transcription accuracy is continuously improved through the platform's proprietary models trained on business conversation data.
  • Real-time sentiment analysis — Moment-by-moment sentiment tracking during interactions, visualized for supervisors monitoring live calls.
  • Ai CSAT — Predicted customer satisfaction scores for every interaction based on conversation analysis, eliminating reliance on post-call surveys (which typically achieve 5–15% response rates).
  • Ai Scorecards — Automated quality evaluation based on customizable criteria, scoring agent interactions without manual QA review.
  • Ai Recaps — Automated post-call summaries capturing key points, action items, and follow-up requirements.
  • Ai Playbooks — Real-time guidance during interactions, prompting agents with recommended responses, objection handling scripts, and compliance reminders based on detected conversation patterns.[4]

Contact Center Capabilities

The CCaaS platform provides standard contact center functionality enhanced by AI:

  • Omnichannel routing — Voice, chat, email, SMS, and social media interaction routing with skills-based and AI-assisted assignment.
  • IVR and self-service — Visual IVR builder with conversational AI virtual agent capabilities.
  • Agent desktop — Unified workspace with real-time AI assistance, customer context, and interaction history.
  • Supervisor tools — Live monitoring, listen/barge/whisper capabilities, and real-time performance dashboards.
  • Analytics — Historical and real-time reporting with AI-generated insights.

Real-Time Transcription and Coaching

The combination of real-time transcription and AI coaching creates a feedback loop that operates during live interactions:

  1. Agent speaks with customer; Dialpad Ai transcribes in real time.
  2. NLP models analyze the conversation for sentiment, topic, and intent.
  3. Ai Playbooks surface relevant guidance, scripts, or knowledge articles.
  4. Supervisor dashboard shows live transcription, sentiment, and suggested interventions.
  5. Post-interaction, Ai Recaps generate summaries and Ai Scorecards evaluate quality.

This real-time loop reduces the gap between interaction and feedback from days (traditional QA review cycles) to seconds, enabling in-the-moment coaching that research suggests is more effective than delayed feedback.[5]

WFM Capabilities

Surfboard Acquisition

Dialpad's WFM capabilities derive primarily from its 2024 acquisition of Surfboard, a London-based startup founded in 2020 that built a modern, lightweight WFM platform for digital-first support teams. Surfboard's approach emphasized simplicity and speed over the deep configurability of enterprise WFM platforms like NICE or Verint.[6]

Post-acquisition, Surfboard's capabilities are being integrated into the Dialpad Contact Center platform:

  • Demand forecasting — Statistical and ML-based forecasting for interaction volumes across channels.
  • Schedule generation — Automated scheduling with agent preference incorporation, skills matching, and compliance enforcement.
  • Intraday management — Real-time monitoring and schedule adjustment capabilities.
  • Capacity planning — Longer-horizon planning for headcount, hiring, and budget.
  • Agent self-service — Schedule viewing, shift swaps, and time-off requests.

AI Deflection Rate Forecasting

A distinctive capability emerging from the combination of Dialpad's AI and Surfboard's WFM is AI deflection rate forecasting. As organizations deploy AI virtual agents and chatbots to handle customer interactions, the percentage of interactions deflected (resolved without human intervention) becomes a critical variable in workforce planning:

  • Deflection rate prediction — Dialpad's AI models predict what percentage of incoming volume will be resolved by AI agents vs. requiring human handling, based on historical deflection patterns by intent type, channel, and complexity.
  • Residual demand forecasting — Human agent staffing requirements are forecast based on the residual demand after AI deflection, rather than total interaction volume.
  • Scenario modeling — WFM teams can model the impact of expanding or changing AI capabilities on human agent staffing needs.

This capability addresses a growing challenge in contact center WFM: forecasting staffing requirements when AI agents handle a variable and increasing portion of total volume. Traditional WFM platforms forecast total volume and staff for it entirely with human agents. Dialpad's approach forecasts the human-required residual, producing more accurate staffing plans for organizations with significant AI deflection.[7]

Key Differentiators

AI-Native from Founding

Dialpad's most fundamental differentiator is the depth of AI integration in the platform. While competitors add AI features to existing platforms (often through acquisitions or third-party integrations), Dialpad built its AI capabilities in-house from the company's early years:

  • Proprietary speech models — Trained on business conversation data, providing accuracy and domain-specific understanding that generic speech APIs lack.
  • Unified data pipeline — All interactions flow through the AI engine, creating a comprehensive dataset for training and improving models.
  • AI-first architecture — Every product decision considers how AI can enhance the capability, rather than treating AI as an add-on.

UCaaS+CCaaS Convergence

The unified communications and contact center platform creates operational advantages:

  • Single infrastructure — Contact center agents and business users share the same communications backbone, simplifying IT management and reducing vendor count.
  • Internal collaboration — Agents can seamlessly collaborate with subject matter experts and back-office teams during customer interactions.
  • Consistent AI — The same AI capabilities (transcription, summarization, coaching) are available across business communications and contact center interactions.

Integrated CCaaS+WFM

The Surfboard acquisition creates an integrated CCaaS+WFM platform where workforce management data flows directly from the interaction routing engine — eliminating the integration layer that creates data latency and synchronization issues when using separate CCaaS and WFM vendors.

Target Market

  • Mid-market (50–1,000 agents) — Dialpad's primary contact center market, where the integrated platform approach provides significant value.
  • Digital-native companies — Technology, SaaS, e-commerce, and fintech organizations that value modern UX and AI capabilities.
  • UCaaS consolidation buyers — Organizations seeking to consolidate business communications and contact center on a single platform.
  • AI-forward operations — Teams actively deploying AI for self-service and agent assistance, seeking WFM that accounts for AI deflection.

Dialpad competes against:

  • RingCentral — Competing in the UCaaS+CCaaS convergence space.
  • 8x8 — Unified communications with contact center capabilities.
  • Talkdesk — AI-forward CCaaS competitor.
  • Genesys Cloud — Enterprise CCaaS with AI capabilities.
  • Five9 — Established CCaaS leader.

Limitations

  • WFM maturity — The Surfboard-derived WFM capabilities are still being integrated and matured. Organizations requiring enterprise-grade WFM (complex multi-site scheduling, advanced optimization algorithms, deep BPO management) should evaluate carefully against established WFM vendors.
  • Enterprise scale — Dialpad's contact center product is strongest in the mid-market. Very large enterprise deployments (5,000+ agents) with complex requirements may find the platform less proven than NICE CXone or Genesys Cloud CX.
  • Voice-centric AI — While expanding to digital channels, Dialpad's AI capabilities are strongest for voice interactions. Organizations with primarily digital interaction volumes may find less differentiation.
  • Brand perception — Dialpad is still perceived primarily as a UCaaS/business phone company by many buyers. The contact center and WFM capabilities, while growing, are not yet top-of-mind in CCaaS selection processes.
  • International WFM — Surfboard's WFM capabilities, built primarily for the UK and European market, are still being adapted for global labor law and scheduling requirements.
  • Ecosystem depth — Integration ecosystem for the WFM module is still developing compared to established WFM vendors with decades of partner integrations.[8]

See Also

References

  1. ↑ Dialpad, "About Dialpad: Our Story," dialpad.com, 2024.
  2. ↑ TechCrunch, "Dialpad acquires workforce management startup Surfboard," 2024.
  3. ↑ Forbes, "Craig Walker's Second Act: Building An AI-Native Communications Company," 2022.
  4. ↑ Dialpad, "Dialpad Ai: Built-In Intelligence for Every Conversation," dialpad.com, 2025.
  5. ↑ Gartner, "Real-Time Coaching Improves Agent Performance: Emerging Technology Trends," 2023.
  6. ↑ Surfboard, "Modern Workforce Management for Support Teams," surfboard.team, 2023.
  7. ↑ McKinsey & Company, "The AI-powered contact center: How to plan for blended human-AI operations," 2024.
  8. ↑ G2 and Gartner Peer Insights, "Dialpad Contact Center Reviews," 2024–2025.
Retrieved from "https://wiki.wfmlabs.org/w/index.php?title=Dialpad_Contact_Center&oldid=1721"