Swiftask leverages Azure Speech's power to transform your audio recordings into structured emotional data. Understand your customers better in real-time.
Resultat:
Improve customer experience and optimize your processes through fine-tuned understanding of tone and emotion.
Customer emotions are lost in your audio recordings
Thousands of hours of calls are recorded every month, but the underlying sentiment is rarely analyzed. Without proper tools, you miss crucial information about customer satisfaction or friction points.
Les principaux impacts négatifs :
Swiftask automates sentiment analysis by connecting your audio streams to Azure Speech. The AI transcribes and evaluates tone, alerting you to interactions requiring special attention.
AVANT / APRÈS
Ce qui change avec Swiftask
Without Swiftask
A quality control team manually listens to random call samples. Global trends are missed, critical cases are only detected too late, and decisions are based on feelings rather than data.
With Swiftask + Azure Speech
Every call is analyzed automatically. You have a dashboard displaying sentiment scores by customer, by agent, and by topic. Automated alerts notify you immediately if negative sentiment is detected.
How to set up sentiment analysis in 4 steps
ÉTAPE 1 : Configure your analysis agent in Swiftask
Create a dedicated audio analysis agent in Swiftask without writing a single line of code.
ÉTAPE 2 : Enable the Azure Speech connection
Link your Azure Speech Service instance to Swiftask to leverage advanced transcription and analysis.
ÉTAPE 3 : Define audio streams to analyze
Connect your recording sources (Cloud storage, CRM, telephony) to feed the agent.
ÉTAPE 4 : Visualize insights
Access sentiment reports and receive automated notifications on critical cases.
Key features of voice analysis
The AI evaluates emotional valence, annoyance level, satisfaction, and urgency, correlating this data with transcribed text content.
Chaque action est contextualisée et exécutée automatiquement au bon moment.
Chaque agent Swiftask utilise une identité dédiée (ex. agent-azure-speech-service@swiftask.ai ). Vous gardez une visibilité complète sur chaque action et chaque message envoyé.
À retenir : L'agent automatise les décisions répétitives et laisse à vos équipes les actions à forte valeur.
Why choose Swiftask for your analysis
1. Real-time insights
Don't process your data post-factum; act during or immediately after the interaction.
2. Azure AI precision
Benefit from state-of-the-art voice recognition and natural language analysis.
3. Total scalability
Analyze 10 or 100,000 calls with the same efficiency and controlled cost.
4. Simple business integration
Connect analysis results to your CRM to automatically enrich customer profiles.
5. Compliance and security
Your audio data and their analyses are protected by Azure and Swiftask protocols.
Data security and privacy
Swiftask applique des standards de sécurité enterprise pour vos automatisations azure speech service.
Pour aller plus loin sur la conformité, consultez la page gouvernance Swiftask et ses détails d'architecture de sécurité.
RÉSULTATS
Impact on your performance
| Métrique | Avant | Après |
|---|---|---|
| Analysis time | Several days | A few seconds |
| Crisis detection rate | Low (sampling) | 100% (exhaustive) |
| Cost per analyzed call | Very high (human) | Marginal (AI) |
Passez à l'action avec azure speech service
Improve customer experience and optimize your processes through fine-tuned understanding of tone and emotion.