Swiftask connects your AI agents to Botcake to instantly detect your customers' mood. Turn every interaction into a loyalty-building opportunity.
Result:
Detect dissatisfaction before it escalates and prioritize your responses for exemplary customer service.
You are missing the emotions behind Botcake messages
Handling hundreds of Botcake messages without an emotional filter is risky. Urgent or angry messages get lost in the noise, leading to poor response times and lower customer satisfaction.
Main negative impacts:
Swiftask analyzes the tone of every message received via Botcake in real time. Your AI agents score messages by sentiment, allowing your team to focus on high-priority cases.
BEFORE / AFTER
What changes with Swiftask
Standard Botcake management
Your team responds to Botcake messages in chronological order. An unhappy customer waits the same amount of time as someone asking a simple question. Frustration grows, churn increases.
Intelligent management with Swiftask
As soon as a message arrives on Botcake, the Swiftask AI analyzes it. Messages with negative sentiment are flagged as 'Urgent' and moved to the top of the queue. Your agents handle critical issues first.
Set up sentiment analysis in 4 steps
STEP 1 : Connect Swiftask to your Botcake account
Link your Botcake interface to Swiftask. The integration is native and requires no changes to your current architecture.
STEP 2 : Configure the analysis engine
Activate the sentiment analysis module in Swiftask. Choose classification criteria (positive, neutral, negative, urgency).
STEP 3 : Define routing actions
Configure rules: send a Slack alert for any negative sentiment, or automatically assign these tickets to an expert.
STEP 4 : Visualize performance
Follow the Swiftask dashboard to observe customer satisfaction trends from your Botcake conversations.
Key features of AI analysis
The AI agent evaluates polarity (positive/negative), emotional intensity, and detects specific intentions (complaint, refund request, praise).
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-botcake@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 automated analysis
1. Churn reduction
Identify and resolve friction points before the customer leaves your service.
2. Emergency prioritization
Your agents no longer waste time on neutral requests when customers are in distress.
3. Quality improvement
Adapt the tone of your responses based on detected sentiment to better diffuse conflicts.
4. Data-driven management
Get a clear view of global customer satisfaction on your Botcake channel.
5. Operational time saving
The AI pre-qualifies messages, freeing your agents from repetitive tasks.
Privacy and compliance
Swiftask applies enterprise-grade security standards for your botcake automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your key indicators
| Metric | Before | After |
|---|---|---|
| Crisis response time | Several hours (manual) | Under 5 minutes (automated) |
| Customer Satisfaction (CSAT) | Stagnant | +25% on average |
| Ticket processing | Disorganized | Prioritized by sentiment |
| Human error | Frequent | Reduced by 80% |
Take action with botcake
Detect dissatisfaction before it escalates and prioritize your responses for exemplary customer service.