Dialpad Integration with Emergent | Build AI-Powered Communication Apps by Prompt

Dialpad + Emergent

The Dialpad and Emergent integration enables businesses to build and deploy custom communication applications and AI-powered workflows by prompt, combining Emergent's full-stack vibe coding capabilities with Dialpad's comprehensive business communications platform. This allows sales teams, support organizations, and contact centers to create powerful call intelligence tools, automated engagement systems, and real-time analytics dashboards without boilerplate code or complex setup.

Key capabilities

• Access Dialpad's call data, transcriptions, recordings, SMS messages, and AI-powered insights programmatically to build custom communication interfaces.

• Create automated workflows that trigger on call events, sentiment changes, or AI-detected keywords and topics.

• Build real-time dashboards that visualize call metrics, agent performance, customer sentiment, and conversion analytics.

• Design multi-channel engagement orchestration combining Dialpad voice, SMS, and AI coaching with CRM systems and support tools.

• Leverage DialpadGPT and AI transcription data to build custom coaching applications, quality assurance tools, and conversation intelligence systems.

• Combine Dialpad with Salesforce for CRM enrichment, Slack for team notifications, HubSpot for sales automation, and Google Sheets for custom reporting.

• Deploy instantly with secure OAuth authentication, API key vaults, versioning, monitoring, and analytics.

About Dialpad

Dialpad is an AI-powered business communications platform that unifies voice, video, messaging, and contact center capabilities in a cloud-based solution designed for modern enterprises. Built on the proprietary DialpadGPT AI engine, the platform provides real-time transcription, sentiment analysis, AI coaching, and autonomous customer service capabilities.

Key capabilities

• AI-Powered Communications including real-time call and voicemail transcription, sentiment analysis, AI coaching recommendations, automated call summaries, and conversational intelligence powered by DialpadGPT.

• Contact Center Platform including AI Playbooks for automation, automatic call distribution, intelligent routing, queue management, customer callbacks, and unified omnichannel dashboards.

• Agentic AI Platform, launched in 2025, with autonomous AI agents capable of resolving many customer requests independently and escalating with preserved context.

• Business VoIP using WebRTC and Opus codec for high-quality calling, number porting, call masking, and conferencing.

• SMS and Messaging including two-way SMS, MMS, shared inboxes, automated messaging workflows, and text analytics.

• Video Meetings with screen sharing, recordings, and calendar integrations.

• Analytics and Reporting for real-time and historical metrics.

• Enterprise Security including SSO, PII redaction, policy enforcement, and GDPR compliance.

The Dialpad API enables developers to:

• Authenticate using OAuth 2.0 or API keys (available for Pro and Enterprise plans).

• Access REST endpoints for voice calls, SMS, user management, office configuration, and contact center operations.

• Retrieve call transcripts, recordings, analytics data, and AI-generated insights programmatically.

• Subscribe to webhooks for real-time notifications of call events, SMS activity, and agent status changes.

• Build custom integrations beyond native connectors.

Why Integrate Dialpad with Emergent

Building custom applications on top of Dialpad directly typically requires implementing OAuth flows, managing API keys, handling webhook subscriptions, processing real-time call data, building user interfaces, and maintaining infrastructure. Each custom communication tool can quickly become a multi-week engineering project requiring specialized telecommunications and AI expertise.

Emergent eliminates that complexity:

• Build by prompt, describe the communication app or workflow you want and Emergent scaffolds the UI, API integrations, data models, and workflows.

• Communications-domain aware mappings, Emergent understands calls, SMS, transcriptions, recordings, AI insights, sentiment scores, and agent metrics.

• Secure by design with encrypted OAuth token storage, API key vaults, environment isolation, role-based access, PII handling safeguards, and audit logs.

• Real-time workflows with webhook subscriptions, event-driven triggers on sentiment changes, streaming transcription processing, and robust error handling.

• Orchestrate multiple tools including Salesforce, Slack, HubSpot, Zapier, and Google Sheets.

• Rapid iteration so you can update apps with new prompts, add features, and deploy instantly with versioning and rollback.

How Emergent Works with Dialpad in Real Time?

STEP 1: Describe your app

Example: "Build a sales intelligence dashboard that displays all Dialpad calls with AI transcriptions, automatically logs high-intent calls to Salesforce with sentiment scores, sends Slack alerts when negative sentiment is detected, and generates weekly performance reports in Google Sheets."

STEP 2: Declare integrations

Say "Dialpad + Salesforce + Slack + Google Sheets." Emergent sets up API providers, OAuth flows, webhook subscriptions, and recommended connection patterns for each service.

STEP 3: Secure credentials

Complete Dialpad OAuth authentication or provide an API key (generated from Settings > Authentication > API keys in Dialpad Admin for Pro/Enterprise plans). Credentials are stored in an encrypted vault with environment-specific isolation and role-based access controls.

STEP 4: Configure Dialpad data access

Emergent guides you through selecting Dialpad resources you need: calls, SMS, transcriptions, recordings, user data, office configuration, or contact center metrics. Define filters by date range, call direction, duration, assigned users, or AI-detected sentiment.

STEP 5: Map data and workflows

Emergent helps map call metadata, transcription text, AI insights, and sentiment to your app's data model. Configure triggers like call completion, sentiment threshold breaches, keyword detection in transcripts, or missed call events, and define downstream actions like CRM updates or notifications.

STEP 6: Real-time and scheduled operations

Subscribe to Dialpad webhooks for instant call, SMS, and agent status notifications. Configure scheduled polling for analytics, daily reports, or batch transcription processing.

STEP 7: Test and preview

Run test API calls, simulate webhook payloads for call scenarios, validate mappings to Salesforce or HubSpot, check OAuth token refresh handling, review logs, and ensure error recovery mechanisms work.

STEP 8: Deploy

Deploy your communication intelligence app with one click including versioning, monitoring, webhook delivery tracking, error alerts, usage analytics, and scaling. Roll back or iterate as needed.

STEP 9: Expand

Add AI-powered routing recommendations, predictive churn analytics, conversation compliance monitoring, or multi-language transcription. Connect additional tools without architectural changes.

Popular Dialpad + Emergent Integration Use Cases

1. Build a Revenue Intelligence Platform Using Emergent with Dialpad + Salesforce Integration

Overview: Create a unified sales communication system that automatically captures every Dialpad call, enriches Salesforce records with AI-generated call summaries and transcriptions, logs sentiment scores, and triggers follow-up workflows based on conversation outcomes.

How it's built with Emergent?

• Write your prompt: "Log all Dialpad sales calls to Salesforce contacts with AI summaries, sentiment scores, and detected keywords, then create tasks for negative sentiment calls."

• Declare integrations: Choose Dialpad + Salesforce Integration.

• Share credentials securely: Connect Dialpad OAuth credentials and Salesforce API access via encrypted vault.

• Configure data mapping: Map Dialpad call participants to Salesforce contacts or leads, transcriptions to activity logs, AI insights to custom Salesforce fields, and sentiment scores to lead scoring models.

• Set triggers and schedules: Enable real-time call completion webhooks, configure automatic task creation for follow-up calls, and sync call recordings as Salesforce attachments.

• Test and preview: Validate field mappings, test webhook delivery for various call scenarios, verify duplicate prevention logic, and ensure sentiment threshold triggers work.

• Deploy: Activate production integration with monitoring, sync status dashboards, and error notifications.

• Expand: Add win/loss analysis based on call patterns, automated coaching recommendations for reps with low sentiment scores, or predictive lead scoring using conversation intelligence.

Outcome: Complete sales call visibility in CRM, automated activity logging, conversation intelligence for better coaching, and data-driven pipeline forecasting.

2. Build a Team Collaboration Hub Using Emergent with Dialpad + Slack Integration

Overview: Create an automated notification system that keeps teams informed by sending Slack alerts when important Dialpad calls occur, negative customer sentiment is detected, missed calls need follow-up, or AI-identified opportunities require immediate action.

How it's built with Emergent?

• Write your prompt: "Send Slack alerts when Dialpad calls exceed 30 minutes, sentiment drops below neutral, keywords like 'cancel' or 'competitor' are detected, or calls are missed during business hours."

• Declare integrations: Select Dialpad + Slack Integration.

• Share credentials securely: Authorize Dialpad and Slack workspace access.

• Configure triggers: Define Dialpad webhook events and AI insight thresholds that warrant notifications such as long durations, sentiment changes, or missed calls.

• Map data and workflows: Structure Slack message formatting with caller info, call summary, sentiment indicators, detected topics, transcription excerpts, and recommended next actions with quick-action buttons.

• Test and preview: Simulate notifications, validate message formatting, and test routing logic for support versus sales channels.

• Deploy: Enable real-time webhook monitoring with configurable alert frequencies and department routing.

• Expand: Add AI-generated response suggestions, competitor mention alerts, or customer health updates based on sentiment trends.

Outcome: Faster response to at-risk accounts, improved cross-team collaboration, and proactive issue resolution.

3. Build a Workflow Automation Orchestration Using Emergent with Dialpad + Zapier Integration

Overview: Connect Dialpad to hundreds of apps through Zapier, creating multi-step workflows that automate lead follow-up, ticket creation, email campaigns, and cross-platform data syncs based on call outcomes.

How it's built with Emergent?

• Write your prompt: "Trigger Zapier workflows when Dialpad calls are completed, sending call summaries to email, creating support tickets for problem calls, and enrolling hot leads in nurture campaigns."

• Declare integrations: Choose Dialpad + Zapier Integration.

• Share credentials securely: Connect Dialpad API credentials and Zapier webhook endpoints.

• Configure workflow triggers: Define call completion events, sentiment thresholds, keyword detections, or missed calls to initiate Zapier actions.

• Map data and workflows: Structure webhook payloads with call metadata, transcription text, AI insights, and contact info for downstream Zapier actions.

• Test and preview: Simulate webhook deliveries, validate payload structures, test conditional logic, and ensure error handling.

• Deploy: Enable production webhooks with retry logic, delivery confirmation, and logging.

• Expand: Add conditional routing by industry or location, AI next-best-action recommendations, or complex multi-stage nurture flows.

Outcome: Reduced manual follow-up, consistent customer experience, and scalable automation.

4. Build a Sales Acceleration Platform Using Emergent with Dialpad + HubSpot Integration

Overview: Synchronize Dialpad calling activity with HubSpot CRM, automatically logging calls with AI summaries, updating contact properties from conversation insights, and triggering HubSpot workflows from call outcomes.

How it's built with Emergent?

• Write your prompt: "Log all Dialpad calls to HubSpot contacts with transcriptions and sentiment, update deal stages based on conversation outcomes, and trigger follow-up email sequences for interested prospects."

• Declare integrations: Pick Dialpad + HubSpot Integration.

• Share credentials securely: Connect Dialpad OAuth and HubSpot API credentials.

• Configure data mapping: Map calls to HubSpot timeline activities, AI topics to custom properties, sentiment scores to lead scoring, and recordings as attachments.

• Set triggers and schedules: Enable real-time call logging via webhooks, configure automatic deal stage progression, and sync analytics to HubSpot dashboards.

• Test and preview: Validate contact matching, test sentiment-based workflow triggers, verify recording attachments, and prevent duplicates.

• Deploy: Activate production sync with error monitoring and data quality dashboards.

• Expand: Add predictive lead scoring from conversation patterns, automated coaching insights, or competitive mention tracking.

Outcome: Complete communication history in HubSpot, automated activity tracking, and conversation intelligence informing sales strategy.

5. Build a Performance Analytics Dashboard Using Emergent with Dialpad + Google Sheets Integration

Overview: Transform Dialpad call data, AI insights, and contact center metrics into Google Sheets reports for team scorecards, executive dashboards, and data-driven decision making.

How it's built with Emergent?

• Write your prompt: "Sync Dialpad call volumes, average handle times, sentiment distributions, and agent performance metrics to Google Sheets for daily leadership reporting."

• Declare integrations: Choose Dialpad + Google Sheets Integration.

• Share credentials securely: Connect Dialpad API access and Google Sheets OAuth credentials.

• Configure data mapping: Map analytics endpoints to Sheets columns, calculate conversion rates and sentiment trends, extract topic frequency from transcriptions, and track agent productivity.

• Set triggers and schedules: Schedule hourly or daily syncs for near-real-time reporting, enable on-demand refresh, and configure incremental updates.

• Test and preview: Validate data accuracy, test KPI formulas, verify charts and pivot tables, and ensure pagination handling for large datasets.

• Deploy: Activate scheduled syncs with completion notifications, error alerts, and data quality monitoring.

• Expand: Add anomaly detection, automated chart generation, predictive forecasting, or multi-sheet consolidation for company dashboards.

Outcome: Accessible analytics for non-technical stakeholders, flexible reporting without BI costs, and insights for optimizing call center and sales performance.