Connectors / General automation services · Connector
Stop Logging Calls Manually — Automate Your Aircall Workflows
Connect Aircall to your CRM, helpdesk, and business tools to cut manual data entry and build voice workflows that actually run themselves.
What can you do with the Aircall connector?
Aircall is a cloud-based phone system built for sales and support teams, and the data flowing through it — call logs, recordings, tags, and contact activity — is too valuable to sit in isolation. Integrating Aircall with your CRM, helpdesk, analytics stack, and communication tools means every call automatically updates the right records, triggers the right follow-ups, and surfaces insights where your team actually works. With tray.ai, you can orchestrate complex Aircall workflows without writing custom code, connecting call events in real time to the rest of your business stack.
Automate & integrate Aircall
Automating Aircall business processes or integrating Aircall data is made easy with Tray.ai.
Use case
Automatic CRM Call Logging
Every inbound and outbound Aircall call can be automatically logged to your CRM — whether that's Salesforce, HubSpot, or Pipedrive — complete with duration, direction, recording URL, and agent notes. This eliminates the manual logging burden that causes reps to skip entries and creates gaps in pipeline visibility. Teams get a complete, timestamped communication history on every contact without any rep intervention.
- Eliminate manual call logging that reps routinely skip under time pressure
- Capture call duration, recording links, and disposition tags directly on CRM contact or deal records
- Give leadership accurate call activity data for forecasting and coaching
Use case
Real-Time Lead and Contact Routing
When a new call comes into Aircall from an unknown number, you can automatically look up the caller in your CRM or marketing automation platform, create a new contact if none exists, and route context back to the agent before they even say hello. This closes the gap between your phone system and your customer data in real time, improving first-call resolution and personalization. Warm transfers and VIP caller routing can also be automated based on CRM fields like deal stage or customer tier.
- Greet callers by name with account context pulled live from your CRM
- Auto-create contacts or leads in your CRM the moment an unknown number calls in
- Route high-value customers to senior agents automatically based on CRM data
Use case
Post-Call Follow-Up Automation
Trigger automated follow-up sequences the moment a call ends, based on outcome tags applied in Aircall. A demo call tagged 'interested' can instantly enroll the contact in a HubSpot sequence, create a follow-up task in Salesforce, and send a personalized email — all without any rep action. No hot lead goes cold because a rep forgot to follow up.
- Trigger email or SMS follow-ups automatically based on call disposition tags
- Create CRM tasks or deals the instant a qualifying call ends
- Cut the time between a promising call and the next touchpoint from hours to seconds
Use case
Support Ticket Creation from Inbound Calls
For support teams, every inbound Aircall call that isn't resolved on the spot can automatically generate a ticket in Zendesk, Freshdesk, or Intercom, pre-populated with caller details, call duration, and a link to the recording. Agents no longer need to toggle between their phone system and ticketing tool to document issues. Escalated calls can trigger high-priority ticket creation with automatic assignment to the right team.
- Auto-generate support tickets with caller info, recording links, and call notes
- Assign tickets to the correct team or agent based on Aircall call tags or IVR path
- Reduce average handle time by removing manual ticket creation from agent workflow
Use case
Call Analytics and Reporting Pipelines
Stream Aircall call events — volume, wait times, missed call rates, agent handle times — into your data warehouse or BI tool like Google BigQuery, Snowflake, or Looker to build custom reporting dashboards that go beyond Aircall's native analytics. This matters most for operations and workforce planning teams that need to correlate call data with revenue, churn, or SLA metrics. Scheduled syncs keep your reports current.
- Push Aircall call data into BigQuery, Snowflake, or Redshift for custom BI reporting
- Correlate call volume and outcomes with revenue metrics from your CRM or billing system
- Automate daily or weekly call performance reports delivered to Slack or email
Use case
Missed Call Recovery and Re-Engagement
When a call is missed or abandoned, tray.ai can instantly trigger a recovery workflow — sending an SMS via Twilio, creating a callback task in your CRM, or posting an alert to a Slack channel so the right team member follows up immediately. Missed calls in sales are often lost revenue; in support they become escalations. Automated recovery workflows mean no missed call goes unaddressed.
- Send automatic SMS or email responses to callers who hung up before reaching an agent
- Create high-priority callback tasks in your CRM for every missed sales call
- Alert managers in Slack when missed call volume exceeds a threshold
Build Aircall Agents
Give agents secure and governed access to Aircall through Agent Builder and Agent Gateway for MCP.
Look Up Call Details
Data SourceRetrieve detailed information about specific calls, including duration, recording links, participant details, and call outcomes. Useful for agents that need call context when handling follow-ups or CRM updates.
Fetch Call Recordings and Transcripts
Data SourceAccess recordings and transcripts from past calls to pull out information, summarize conversations, or identify action items. Gives agents the actual conversation history they need to respond in context.
Query Contact Information
Data SourceLook up contact records in Aircall to retrieve phone numbers, associated notes, and call history. Helps agents personalize interactions or route inquiries based on what's already known about a contact.
Retrieve Team and User Activity
Data SourcePull data on agent availability, call volumes, and team performance metrics to inform scheduling or escalation decisions. Useful for keeping an eye on workload distribution across call center teams.
List Active Phone Numbers and Lines
Data SourceFetch all configured phone numbers and lines within an Aircall account, including their associated teams and settings. Helps agents route or assign calls based on how lines are actually set up.
Monitor Call Queue Status
Data SourceCheck real-time queue depth and wait times across Aircall lines to catch bottlenecks or SLA risks. Lets agents trigger alerts or reassign resources when queues get out of hand.
Create and Update Contacts
Agent ToolAdd new contacts or update existing ones in Aircall with enriched data from CRM or other systems. Keeps the call team working from accurate, current information when a call comes in.
Add Call Notes and Tags
Agent ToolAutomatically attach notes, tags, and disposition codes to calls after they complete. Cuts down on manual data entry by capturing outcomes directly from conversation analysis or downstream workflows.
Assign Calls to Team Members
Agent ToolReassign or transfer calls to specific users or teams within Aircall based on context like skill, availability, or customer segment. Lets agents handle smart routing without doing it by hand.
Trigger Outbound Calls
Agent ToolInitiate outbound calls on behalf of a user or team through Aircall's API. Good for automating follow-up campaigns or callback workflows kicked off by external events like a form submission or ticket update.
Send SMS Messages
Agent ToolSend SMS messages through Aircall to contacts after a call or as part of a workflow — follow-up confirmations, appointment reminders, that sort of thing. Takes agent-driven communication beyond just voice.
Pause or Resume Call Recordings
Agent ToolControl call recording state programmatically to stay compliant with data privacy rules during sensitive parts of a conversation. No manual action needed from the call agent.
Ready to solve your Aircall integration challenges?
See how Tray.ai makes it easy to connect, automate, and scale your workflows.
Challenges Tray.ai solves
Common obstacles when integrating Aircall — and how Tray.ai handles them.
Challenge
Keeping CRM Records Accurate Without Burdening Reps
Sales and support reps are under constant time pressure, and manual call logging is one of the first tasks to get skipped. The result is incomplete CRM activity histories that undermine pipeline reporting, manager coaching, and handoff quality. Asking reps to log more carefully rarely fixes this for long.
How Tray.ai helps
tray.ai listens to Aircall call completion webhooks in real time and automatically creates or updates CRM activity records the moment a call ends, with no rep action required. The workflow handles number matching, record lookup, and field mapping — so logs stay accurate even when reps are back-to-back on calls.
Challenge
Handling High-Volume Webhook Events Reliably
Aircall emits webhooks for every call event — initiated, ringing, answered, completed, tagged — which can mean thousands of events per day for active teams. Processing these reliably without losing events, creating duplicate records, or overwhelming downstream APIs is a genuine engineering problem when building custom integrations.
How Tray.ai helps
tray.ai's workflow engine handles high-frequency webhook ingestion with built-in queuing, error handling, and retry logic. Conditional branching lets you filter and route only the events that matter, while deduplication steps prevent duplicate CRM records even during peak call periods.
Challenge
Connecting Call Data to Revenue Outcomes
Aircall's native reporting shows call volumes and handle times, but it can't tell you which call types correlate with closed deals, which agents' calls lead to higher NPS scores, or how call activity maps to churn risk. That kind of visibility requires joining Aircall data with your CRM, billing, and support systems.
How Tray.ai helps
tray.ai can continuously sync Aircall call records to your data warehouse alongside data from Salesforce, Stripe, or Zendesk, creating a unified dataset ready for BI analysis. You define the transformation logic and scheduling; tray.ai handles the reliable movement and normalization of data across all connected systems.
Log Aircall Calls to Salesforce Automatically
Aircall 
Salesforce Every completed Aircall call is automatically logged as an activity on the matching Salesforce contact or lead, including call direction, duration, recording URL, and any disposition tags applied by the agent.
Create Zendesk Ticket from Missed Aircall Call
Aircall 
Zendesk 
Twilio When an inbound Aircall call is missed or abandoned, automatically create a Zendesk ticket with caller details and send an SMS acknowledgment to the caller via Twilio.
Enroll Contacts in HubSpot Sequence After Qualified Call
Aircall 
HubSpot When an Aircall call is tagged with a custom disposition like 'qualified' or 'demo-scheduled,' automatically enroll the contact in the appropriate HubSpot email sequence and update the deal stage.
Sync Aircall Call Data to Google BigQuery for BI Reporting
Aircall 
Google BigQuery On a scheduled basis, pull completed call records from Aircall and insert them into a Google BigQuery table, enabling custom dashboards in Looker or Data Studio that combine call data with CRM and revenue metrics.
Post Aircall Call Summary to Slack After Customer Call
Aircall Salesforce 
Slack After any Aircall call with an existing CRM contact exceeds a defined duration, post a structured summary to a designated Slack channel including caller name, account, call length, recording link, and agent notes.
AI Call Summarization and CRM Notes Update
Aircall 
OpenAI HubSpot After every completed Aircall call, send the call transcript or recording to OpenAI to generate a concise summary and extract next steps, then write that summary back to the CRM contact record automatically.
How Tray.ai makes this work
Aircall plugs into the whole Tray.ai platform
Intelligent iPaaS
Integrate and automate across 700+ connectors with visual workflows, error handling, and observability.
Learn more →Agent Builder
Build AI agents that read, write, and take action in Aircall — with guardrails, audit, and human-in-the-loop.
Learn more →Agent Gateway
Expose Aircall actions as governed MCP tools — observable, rate-limited, authenticated.
Learn more →Related integrations
Hundreds of pre-built Aircall integrations ready to deploy.
See Aircall working against your stack.
We'll walk through a tailored demo with your systems plugged in.