Swiftask integrates Tisane Labs to automatically analyze the sentiment and tone of your incoming messages. Turn raw text into actionable insights.
Result:
Gain clarity on your customers' mindset and adapt your responses instantly.
AI Agents
tisane labs
Connector tisane labs · Secure OAuth 2.0
Processing large volumes of customer messages without emotional context is risky. Aggressive, sarcastic, or urgent tones can be misinterpreted if read quickly, leading to inappropriate responses.
Main negative impacts:
Risk of misinterpretation
Without sentiment analysis, subtle signs of dissatisfaction go unnoticed, degrading the customer relationship.
Ineffective standardized responses
Responding neutrally to an angry customer often worsens the situation instead of soothing it.
Lost time on priorities
Automatically prioritizing urgent tickets based on emotion is impossible without a dedicated analysis tool.
Tisane Labs, paired with Swiftask, analyzes every message in real time. You get a sentiment score and intent detection to prioritize and personalize every response.
BEFORE / AFTER
Manual feedback management
Your team reads every message, tries to guess the urgency and sentiment, then responds using a standard template. Critical messages are sometimes buried in the pile.
Intelligent analysis with Tisane Labs
Upon receipt, Swiftask sends the text to Tisane Labs. Sentiment is tagged. Negative messages are automatically escalated to a manager.
1
STEP 1 : Enable the Tisane Labs connector
In Swiftask settings, link your Tisane Labs API key to authorize semantic analysis.
2
STEP 2 : Define your analysis workflows
Choose the streams (emails, tickets, chats) you want to submit to sentiment analysis.
3
STEP 3 : Configure automated actions
Create rules: if the sentiment is 'negative', send a Slack alert to the support team.
4
STEP 4 : Monitor your metrics
Use the Swiftask dashboard to track the evolution of customer sentiment over time.
Tisane Labs detects not only positive/negative sentiment, but also aggression, sarcasm, and specific speaker intentions.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-tisane-labs@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.
Dissatisfied customers are automatically identified and treated as a priority.
Your agents receive emotional context before even responding.
Detect signs of frustration before they lead to cancellation.
Identify products or services that generate the most negative sentiment.
Tisane Labs is recognized for its accuracy on complex and informal texts.
Swiftask applies enterprise-grade security standards for your tisane labs automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Urgent response time | Several hours | Under 15 minutes |
| Routing accuracy | Random | Sentiment-targeted |
| Customer satisfaction (CSAT) | Stagnant | Up by 20% |
Gain clarity on your customers' mindset and adapt your responses instantly.