Analyze customer sentiment in Chatlayer with your AI agents
Swiftask connects your AI agents to Chatlayer to evaluate the emotion behind every customer message in real-time. Anticipate needs and resolve tensions.
Result:
Boost your customer satisfaction score by detecting friction points before they become critical.
AI Agents
chatlayer
Connector chatlayer · Secure OAuth 2.0
Your teams lack visibility into real customer emotion
Conversational platforms like Chatlayer generate massive volumes of data. However, without sentiment analysis, these exchanges remain lines of text without emotional context. Businesses miss subtle signs of dissatisfaction every day.
Main negative impacts:
Delayed detection of frustrations
Unhappy customers are only identified after a formal complaint, reducing your chances of retention.
Underutilized conversation data
Valuable insights hidden in Chatlayer exchanges are lost in the noise, preventing continuous product improvement.
Inconsistent quality management
Manual supervision of conversations is impossible at scale, leaving problematic interactions without proper responses.
Swiftask integrates an AI sentiment analysis layer directly onto your Chatlayer streams. Every interaction is automatically scored to give you a clear view of your users' state of mind.
BEFORE / AFTER
What changes with Swiftask
Without Swiftask
A customer expresses growing frustration in a Chatlayer session. No human agent is alerted. The conversation ends in disconnection or abandonment, with the company unable to intervene.
With Swiftask + Chatlayer
The customer's sentiment shifts to negative. The Swiftask AI agent immediately detects the change, alerts a supervisor, or suggests a personalized de-escalation response, turning a potential crisis into a positive experience.
Enable sentiment analysis on Chatlayer in 4 steps
1
STEP 1 : Connect Chatlayer to Swiftask
Link your Chatlayer account to Swiftask in a few clicks via our secure connectors.
2
STEP 2 : Configure the analysis engine
Select the conversation streams to monitor and define the sentiment thresholds that trigger an action.
3
STEP 3 : Define automated actions
Choose whether the AI should notify a team, tag the conversation, or send a soothing message.
4
STEP 4 : Visualize your metrics
Track the evolution of global customer sentiment on your Swiftask dashboard, updated in real-time.
Advanced analysis features
The AI analyzes tone, emotional keywords, and the overall context of the Chatlayer conversation to provide a precise sentiment score.
- Target connector: The agent performs the right actions in chatlayer based on event context.
- Automated actions: Automatic scoring of every interaction. Real-time alerts on negative sentiment. Generation of weekly reports on customer satisfaction. Export data to your CRM tools for a 360° view.
- Native governance: Analyses are stored securely and used to train your AI models for ever-increasing precision.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-chatlayer@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.
Why choose Swiftask for Chatlayer
Reduced churn rate
Intervene before the customer decides to leave.
Improved satisfaction
Every customer feels heard and understood with tailored responses.
Actionable product insights
Identify which features generate the most frustration.
Operational efficiency
Prioritize support tickets that require immediate attention.
Data governance
Keep full control over your conversational data.
Data security
Swiftask applies enterprise-grade security standards for your chatlayer automations.
- AES-256 encryption: All your conversation data is encrypted at rest and in transit.
- GDPR compliance: Swiftask strictly adheres to personal data protection standards.
- Environment isolation: Each client benefits from a dedicated and isolated Swiftask environment.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Performance indicators
| Metric | Before | After |
|---|---|---|
| Detection time | Several days (or never) | Instant |
| Retention rate | Stable | Measurably increasing |
| Customer visibility | Partial | Total and automated |
Take action with chatlayer
Boost your customer satisfaction score by detecting friction points before they become critical.