Aircall 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 process 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.
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.
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.
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.
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.
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.
Use case
AI-Powered Call Insights and Agent Coaching
Connect Aircall call recordings and transcripts to AI services like OpenAI or Gong to automatically extract call summaries, sentiment scores, competitor mentions, and coaching flags. These insights can be written back to your CRM, pushed into a coaching dashboard, or used to trigger manager review workflows when specific keywords are detected. Every call becomes structured, actionable data without manual QA review.
Build Aircall Agents
Give agents secure and governed access to Aircall through Agent Builder and Agent Gateway for MCP.
Data Source
Look Up Call Details
Retrieve 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.
Data Source
Fetch Call Recordings and Transcripts
Access 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.
Data Source
Query Contact Information
Look 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.
Data Source
Retrieve Team and User Activity
Pull 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.
Data Source
List Active Phone Numbers and Lines
Fetch 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.
Data Source
Monitor Call Queue Status
Check 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.
Agent Tool
Create and Update Contacts
Add 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.
Agent Tool
Add Call Notes and Tags
Automatically 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.
Agent Tool
Assign Calls to Team Members
Reassign 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.
Agent Tool
Trigger Outbound Calls
Initiate 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.
Agent Tool
Send SMS Messages
Send 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.
Agent Tool
Pause or Resume Call Recordings
Control 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.
Get started with our Aircall connector today
If you would like to get started with the tray.ai Aircall connector today then speak to one of our team.
Aircall Challenges
What challenges are there when working with Aircall and how will using Tray.ai help?
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 Can Help:
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 Can Help:
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 Can Help:
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.
Challenge
Building Context-Aware Automations Without Developer Resources
Many useful Aircall automations — routing logic based on deal stage, follow-up sequences based on call tags, ticket escalation based on caller tier — require logic that crosses multiple systems and can't be built with simple one-to-one native integrations. Without engineering bandwidth, these workflows stall in the backlog.
How Tray.ai Can Help:
tray.ai's visual workflow builder lets operations and RevOps teams build multi-step, multi-system automations without writing code. Boolean logic, data lookups, loops, and conditional branching are all available in a drag-and-drop interface, so the business team can own these workflows without depending on developers.
Challenge
Staying Compliant When Syncing Call Data Across Systems
Aircall call recordings and transcripts contain sensitive customer conversations subject to GDPR, CCPA, and industry-specific data regulations. Syncing this data across CRMs, analytics tools, and AI services introduces real compliance risk if consent flags, data residency, and retention policies aren't respected.
How Tray.ai Can Help:
tray.ai workflows can be configured to check consent flags in your CRM before routing call recordings to AI processing or analytics pipelines, and to apply data masking or filtering to strip PII from records before they reach certain destinations. You get compliant data flows without giving up the automation value of your call data.
Talk to our team to learn how to connect Aircall with your stack
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Integrate Aircall With Your Stack
The Tray.ai connector library can help you integrate Aircall with the rest of your stack. See what Tray.ai can help you integrate Aircall with.
Start using our pre-built Aircall templates today
Start from scratch or use one of our pre-built Aircall templates to quickly solve your most common use cases.
Template
Log Aircall Calls to Salesforce Automatically
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.
Steps:
- Aircall webhook fires on call completion event with full call payload
- Look up the caller's phone number in Salesforce to find matching contact, lead, or account
- Create or update a Salesforce activity (Task) record with call details, duration, and recording link
Connectors Used: Aircall, Salesforce
Template
Create Zendesk Ticket from Missed Aircall Call
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.
Steps:
- Aircall webhook triggers on missed or abandoned call event
- Create a new Zendesk ticket tagged 'missed-call' with caller number, timestamp, and IVR path
- Send an automated SMS via Twilio to the caller confirming someone will call back shortly
Connectors Used: Aircall, Zendesk, Twilio
Template
Enroll Contacts in HubSpot Sequence After Qualified Call
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.
Steps:
- Aircall webhook fires when a call tag is applied upon call completion
- Look up the contact in HubSpot by phone number and retrieve associated deal
- Enroll contact in the matching HubSpot sequence and update deal stage based on the call tag value
Connectors Used: Aircall, HubSpot
Template
Sync Aircall Call Data to Google BigQuery for BI Reporting
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.
Steps:
- Scheduled tray.ai workflow triggers hourly or daily to fetch recent calls from Aircall API
- Transform call records to match BigQuery table schema, normalizing fields like duration and tags
- Insert transformed call records into the BigQuery destination table, upserting to avoid duplicates
Connectors Used: Aircall, Google BigQuery
Template
Post Aircall Call Summary to Slack After Customer Call
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.
Steps:
- Aircall webhook triggers on call completion for calls over a configurable duration threshold
- Enrich call data by looking up the contact and account record in Salesforce
- Post a formatted Slack message to the relevant team channel with call summary and CRM deep link
Connectors Used: Aircall, Salesforce, Slack
Template
AI Call Summarization and CRM Notes Update
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.
Steps:
- Aircall webhook fires on call completion and retrieves the call transcript or recording URL
- Send transcript text to OpenAI with a prompt to generate a 3-sentence summary and list of next steps
- Write the AI-generated summary and next steps into the HubSpot contact's notes field and create a follow-up task
Connectors Used: Aircall, OpenAI, HubSpot


