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AI-Native Contact Center

Dialpad: Pricing, Features & How It Works

Dialpad is an AI-native communications platform whose contact center is built around real-time speech intelligence. Its signature is Dialpad Ai — live transcription, sentiment, and agent assist baked into the core rather than added later.

Written by Foretel Solutions, powered by Bridgepointe Technologies

Category
AI-native UCaaS + CCaaS
Pricing Model
Per agent, per month by tier
Typical Range
~$55–$98+/agent/mo
Channels
Voice, digital, self-service
Standout
Native real-time voice AI
Best For
Teams wanting built-in AI without add-on costs
The Bottom Line

Dialpad's differentiator is that AI is the foundation, not an upsell: real-time transcription, live sentiment, and agent assist are core, which makes it a compelling, cost-effective pick for teams that want AI without stacking premium add-ons. The trade-off is that its enterprise WFM, complex omnichannel routing, and analytics depth are lighter than the largest incumbents. If your organization is standardized on Microsoft Teams, also weigh a native Teams contact center that keeps calls in your tenant.

How Dialpad works

Dialpad is a cloud communications platform — business phone, meetings, and contact center — built AI-first. Its contact center leans on Dialpad Ai to transcribe every call in real time, detect sentiment live, and surface answers to agents mid-conversation, capabilities that many competitors sell as premium add-ons.

The platform covers voice and digital channels with self-service, and it emphasizes a clean, modern experience and fast setup. Sold per agent by tier, Dialpad appeals to teams that want strong, built-in AI and a simple rollout more than the deepest enterprise workforce tooling.

Capabilities

What Dialpad brings to the table.

Real-time transcription

Every call transcribed live, feeding sentiment, coaching, and searchable records automatically.

Live agent assist

Dialpad Ai surfaces answers and recommended responses to agents during the call.

Live sentiment analysis

Sentiment tracked in real time so supervisors can spot and rescue at-risk calls.

AI self-service

Virtual agents and AI-powered deflection handle routine contacts before they reach an agent.

Unified voice + digital

Voice and digital channels in one workspace with a modern, easy-to-learn interface.

Fast, simple setup

Quick deployment with an admin experience aimed at lean teams.

Pros & Cons

What works well
  • AI is native and included, not a costly add-on
  • Excellent real-time transcription and sentiment
  • Strong, practical live agent assist
  • Clean UX and fast deployment
  • Competitive per-agent pricing
Watch out for
  • Lighter enterprise WFM and analytics
  • Complex, high-scale routing favors incumbents
  • Smaller ecosystem than the largest platforms
Best fit

Who Dialpad fits.

AI-forward teams

Operations that want real-time transcription, sentiment, and assist built in from day one.

Lean, fast-moving teams

SMB and mid-market centers that value quick setup and a simple admin experience.

Coaching-driven centers

Supervisors who rely on live sentiment and transcripts to coach and rescue calls.

Customer proof

Who runs a contact center on Dialpad

Dialpad's contact center deployments cluster in field service operations, software support desks, and multi-site transportation dispatch. Most are US mid-market teams running Dialpad Support alongside Dialpad's own phone system, leaning on AI scoring, live coaching, and real-time transcription.

Business & professional services

Field service operations that book and dispatch work over the phone, using Dialpad Support with recording, wallboards, and AI scoring.

  • Wind River Environmental2026. Runs customer service on Dialpad Support with Dialpad workforce management. The case study reports schedule adherence up from 85% to 89%, more than $100,000 in bookings driven through the IVR, and 10 to 15 hours a week of manual QA replaced by AI scorecards.
  • AER Technologies2026. An automotive electronics repair service taking 100 plus calls a day on Dialpad Support, using call recording, wallboards, and QA scorecards. The case study reports abandon rate down roughly 13% in the first month.

Technology & software

Software companies running their own customer support desks on Dialpad Support, with AI quality scoring on top.

  • Shopmonkey2026. Rebuilt its Tier 1 support desk on Dialpad Support with AI scorecards and AI CSAT. The case study reports a 30% to 40% rise in call volume absorbed in the first week, average speed to answer held under 30 seconds, and QA scores up from the low 80s to 92%.
  • Deputy2026. Runs a 24/7 global support team of about 126 users across seven offices. The case study reports the cutover landed with no impact on NPS.

Logistics & transportation

Multi-site dispatch and driver-facing lines pulled onto one contact center, with calls routed by who is calling.

  • Beacon Mobility2026. Student and special-needs passenger transport. Consolidated dispatch and family-facing call centers across 27 New England offices in two to three months, with real-time heat maps for staffing, automated Spanish-language routing, and keyword alerts on safety phrases.
  • PS Logistics2026. A truckload carrier running driver recruiting and breakdown lines across 16 operating entities, with caller ID sending each driver to the right company.

Healthcare

Patient access and scheduling handled on Dialpad Support with AI agents in front of the queue.

  • Hopper (CORE Institute)2026. A musculoskeletal and orthopedic care organization using Dialpad Support plus agentic AI for patient access across its clinics, routing patients to schedulers faster and flagging clinical risk earlier.

Travel & hospitality

A corporate travel support desk using live AI coaching while the call is still running.

  • ATG Travel Worldwide2026. Runs its travel support desk on Dialpad Support with AI Live Coach and AI Recaps across US and European teams. The case study reports roughly 10% time savings for the US support team, plus faster pickup and fewer abandoned calls.

Financial services

A supplier to banks running customer delivery and sales calls on the same platform, with prompts served to reps mid-call.

  • Superior2026. A treasury solutions supplier to banks, with 120 plus team members handling 7,000 to 8,000 calls a month on Dialpad Support and Real-Time Assist cards. The case study reports CSAT up from 75% to 94% in four months and four to five hours a week saved per rep.

Retail

An APAC consumer electronics retailer running remote customer service with quality management on every call.

  • Bing Lee2021. Moved its Australian customer service operations to Dialpad Contact Center for remote agent work and quality management, with real-time transcription and sentiment analysis on every call.

Every organization above is named publicly at the linked source. ContactCenterGuide.com is not claiming any of them as a reference.

Pricing & licensing

Dialpad lists roughly $55 to $98 per agent, per month, and its defining pricing trait is what that figure already includes: the real-time transcription, sentiment, and agent-assist AI that many rivals meter as premium add-ons are part of the core. Entry, largely voice tiers sit near the low end, while digital channels and higher-tier capabilities move you up the range. For teams that would otherwise buy a separate speech-AI layer, the all-in framing can make the effective cost compare well even when the headline rate looks similar to alternatives. Our contact center AI cost guide shows how that bundled model compares with the metered and per-resolution alternatives.

Seats are generally licensed per named agent, and because Dialpad also provides its own business phone system, non-agent staff can sit on lower-cost UCaaS licenses rather than full contact-center seats. What raises the number is broader channels, larger scale, and integration or add-on needs; what lowers it is a leaner channel mix and, most reliably, commercial term, since annual or multi-year agreements and larger seat counts typically move the price below list.

Integrations & ecosystem

How Dialpad connects.

CRM & service desks

Connectors for Salesforce, Zendesk, ServiceNow, and Microsoft Dynamics deliver screen-pop, click-to-dial, and logged interactions, with the AI writing call notes and summaries back into the record automatically so agents spend less time on after-call work.

Built-in phone & productivity

Dialpad ships its own UCaaS phone and meetings, so agents and staff share one system, and it integrates closely with Google Workspace and Microsoft 365 for everyday collaboration, keeping administration and billing under a single vendor.

WFM, QM & APIs

Quality management and analytics build on the native AI, workforce management is lighter than the largest incumbents and often handled through partners, and open APIs and webhooks cover custom needs. Searchable transcripts and recordings also support compliance reviews.

Implementation & support

Dialpad is built for a light, fast setup, and its timelines reflect that. A straightforward deployment for a lean team often goes live in roughly two to six weeks, while a larger or more integrated build — multiple queues, CRM and workflow connections, several sites — more typically runs into the two-to-four-month range. Number porting uses the standard letter-of-authorization process, with temporary numbers bridging the gap until the scheduled cut-over completes.

Professional services are available from Dialpad and its partners, but the platform's simple administration means smaller teams frequently configure and maintain it themselves, which is much of the appeal. Supervisor and admin capabilities — live monitoring, coaching, and reporting — are part of the product rather than separately billed agent seats, so leaders and analysts do not each consume a full license. Because the AI captures every call automatically, new hires also tend to ramp faster from real transcripts and coaching. Support levels differ by plan, so it is worth confirming what onboarding, response times, and named contacts your tier includes before committing.

The verdict

Where Dialpad fits — and where it doesn't.

A strong fit if

You want practical, built-in AI without premium add-on pricing, value a clean interface and quick setup, or run a coaching-driven center where live transcripts and sentiment guide supervisors.

Weigh it carefully if

You need a large partner ecosystem or very specific third-party integrations; Dialpad's marketplace is smaller than those of the largest platforms, so confirm your must-have connectors exist first.

Look elsewhere if

Your operation depends on deep enterprise workforce management, advanced analytics, complex high-scale routing, or heavy outbound dialing, where established incumbents and outbound specialists remain stronger.

FAQ

Common questions about Dialpad

How is Dialpad priced?
Per agent, per month by tier, with rates commonly running from around $55 into the $90s depending on channels and features. A key point is that core AI is included rather than sold as a premium add-on.
What makes Dialpad AI-native?
Dialpad Ai transcribes calls in real time, tracks sentiment live, and assists agents mid-call as foundational features, rather than optional modules layered on later.
Is Dialpad a full contact center?
Yes, it provides ACD, IVR/self-service, voice and digital channels, and reporting, alongside its UCaaS phone system, though its enterprise WFM depth is lighter than the largest incumbents.
How does Dialpad compare to NICE or Genesys?
Dialpad leads on built-in, cost-effective AI and simplicity; NICE and Genesys lead on deep WFM, analytics, and complex routing at enterprise scale. An advisor can match it to your priorities.

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