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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.

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

STEP 1 : Connect Chatlayer to Swiftask

Link your Chatlayer account to Swiftask in a few clicks via our secure connectors.

STEP 2 : Configure the analysis engine

Select the conversation streams to monitor and define the sentiment thresholds that trigger an action.

STEP 3 : Define automated actions

Choose whether the AI should notify a team, tag the conversation, or send a soothing message.

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

1. Reduced churn rate

Intervene before the customer decides to leave.

2. Improved satisfaction

Every customer feels heard and understood with tailored responses.

3. Actionable product insights

Identify which features generate the most frustration.

4. Operational efficiency

Prioritize support tickets that require immediate attention.

5. 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

MetricBeforeAfter
Detection timeSeveral days (or never)Instant
Retention rateStableMeasurably increasing
Customer visibilityPartialTotal and automated

Take action with chatlayer

Boost your customer satisfaction score by detecting friction points before they become critical.

Boost your lead management: automate Chatlayer with Swiftask

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