- Call Automation
- AI Call Analytics
- AI Call Logging
Using AI: capture and log incoming call data for analysis and reporting
This automation category uses AI to capture, summarize, and log incoming call data for streamlined analysis and reporting. By transforming raw call transcripts into structured insights, it reduces manual data entry and accelerates decision-making. Users gain actionable performance metrics and trends without switching between multiple tools.
Filter by common apps:
Webhooks by Zapier
Bland AI
Formatter by Zapier
Google Sheets
Dialpad
AI by Zapier
Browse AI
URL Shortener by Zapier
Slack
Google Drive
ChatGPT (OpenAI)
Gmail
Synthflow AI
RingCentral
Notion
Atlas AI Revenue Engine
CallRail
DialZara
Google AI Studio (Gemini)
- Capture call transcripts, format date, and add data to Google Sheets
- Log call details from Dialpad to Google Sheets with insights
Log call details from Dialpad to Google Sheets with insights
- Notify customer support with latest call data report in Slack
Notify customer support with latest call data report in Slack
- Analyze sales call recordings, generate insights, and send summary via email
Analyze sales call recordings, generate insights, and send summary via email
- Log call data and transcripts in Google Sheets from Synthflow AI
Log call data and transcripts in Google Sheets from Synthflow AI
- Record call data, transcribe audio, generate insights, and create Notion database item
Record call data, transcribe audio, generate insights, and create Notion database item
- Process call data, analyze feedback, and store in Google Sheets
Process call data, analyze feedback, and store in Google Sheets
- Log qualified phone calls in Google Sheets from CallRail, format date, and analyze with ChatGPT
Log qualified phone calls in Google Sheets from CallRail, format date, and analyze with ChatGPT
- Log new call details in Google Sheets after summarizing with Google AI Studio
Log new call details in Google Sheets after summarizing with Google AI Studio
