Swiftask analyzes your Aircall interactions in real time and applies relevant tags. Say goodbye to manual ticket sorting.
Result:
Reduce administrative workload and instantly improve the accuracy of your support reporting.
AI Agents
aircall
Connector aircall · Secure OAuth 2.0
Your agents spend valuable time listening to, summarizing, and manually tagging every call in Aircall. This process is slow, prone to human error, and prevents consistent analysis of the voice of the customer.
Main negative impacts:
Operational time loss
Manual tagging is a repetitive task that distracts your agents from their primary mission: helping customers.
Inconsistent support data
Each agent has their own way of tagging. The result: your reports are fragmented and impossible to leverage for service improvement.
Limited reactivity
Without automatic classification, urgent tickets are not immediately identified, degrading customer satisfaction.
Swiftask deploys a dedicated AI agent that listens, transcribes, and analyzes every Aircall interaction to automatically apply the correct tags, ensuring perfect and immediate organization.
BEFORE / AFTER
Without Swiftask
After every call, the agent must remember the details, open the ticket in the CRM, think about which tags to apply, and validate. It's a heavy cognitive load that leads to mistakes.
With Swiftask + Aircall
As soon as the call ends, Swiftask analyzes the transcription, identifies the intent, sentiment, and subject, and automatically updates the ticket with the correct tags.
1
STEP 1 : Connect your Aircall account
Integrate Aircall with Swiftask in a few clicks via our secure connectors.
2
STEP 2 : Define your tag categories
Configure the classification rules your AI agent should follow to tag your tickets.
3
STEP 3 : Let the AI analyze calls
The agent automatically processes every call end to extract key information.
4
STEP 4 : Monitor and adjust
Check the dashboard to validate tags and adjust the logic if necessary.
The agent analyzes customer sentiment, technical keywords, request urgency, and customer history context.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-aircall@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Free your agents from repetitive administrative tasks.
Get accurate reports thanks to standardized classification.
Identify trends and recurring issues instantly.
Handle more calls without increasing administrative burden.
Respond faster to customer needs through better prioritization.
Swiftask applies enterprise-grade security standards for your aircall automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Processing time per ticket | 3 to 5 minutes | 0 seconds (automated) |
| Tagging accuracy | Varies by agent | 99% consistency |
| Response time to urgency | Human-dependent time | Immediate |
Reduce administrative workload and instantly improve the accuracy of your support reporting.