Live sentiment analysis for your Aircall calls
Swiftask listens and analyzes the tone and content of your Aircall calls to detect customer emotions in real time.
Result:
Identify dissatisfied customers before the call ends and guide your agents toward positive resolutions.
AI Agents
aircall
Connector aircall · Secure OAuth 2.0
Understanding the real emotion behind every call is hard
Your agents handle dozens of Aircall calls daily. Without help, it is impossible to systematically detect signs of frustration or dissatisfaction live.
Main negative impacts:
Delayed response to complaints
Issues are only identified after the fact, when reviewing recordings, preventing any immediate intervention.
Lack of personalized coaching
Managers cannot help agents handle difficult situations because they lack visibility on live sentiment.
Customer disengagement
Poor management of a tense call increases the risk of losing customers and damages your brand image.
Swiftask integrates with Aircall to provide live sentiment analysis. Your agents receive suggestions and alerts to better handle conversations.
BEFORE / AFTER
What changes with Swiftask
Without Swiftask
A customer gets angry on the phone. The agent does not detect the tone change early enough. Tension rises, the call ends poorly. The issue is only analyzed the next day.
With Swiftask + Aircall
Customer sentiment turns negative. Swiftask detects the tone change instantly, alerts the agent, and suggests key phrases to calm the situation live.
Setting up live sentiment analysis in 4 steps
1
STEP 1 : Connect Aircall to Swiftask
Enable the Aircall integration in your Swiftask dashboard in just a few clicks.
2
STEP 2 : Configure the analysis agent
Define the sentiment thresholds that trigger alerts or suggestions for your agents.
3
STEP 3 : Enable live monitoring
The agent starts analyzing incoming and outgoing calls as soon as the connection is established.
4
STEP 4 : Optimize performance
Use Swiftask reports to adjust your team's response strategies.
Advanced analysis features
Automatic detection of anger, frustration, or satisfaction. Analysis of speech rate and volume levels.
- Target connector: The agent performs the right actions in aircall based on event context.
- Automated actions: Real-time alerts for managers. Script suggestions for agents. Automatic sentiment summary at the end of the call.
- Native governance: All data is securely stored for your performance reviews.
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.
Benefits for your customer service
Improved CSAT
Resolve issues faster through better understanding of emotional needs.
Augmented coaching
Managers intervene at the right time and provide feedback based on concrete data.
Reduced churn
Detect at-risk customers and intervene before they leave.
Data privacy
Swiftask applies enterprise-grade security standards for your aircall automations.
- Call encryption: All audio and text data is encrypted.
- GDPR compliance: Swiftask strictly adheres to data protection standards.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your key metrics
| Metric | Before | After |
|---|---|---|
| Resolution time | Long | Reduced |
| Satisfaction score | Average | High |
Take action with aircall
Identify dissatisfied customers before the call ends and guide your agents toward positive resolutions.