Analyze Chatbase queries and supercharge your AI agents
Swiftask connects to your Chatbase data to analyze user interactions. Understand exactly what your customers are looking for and bridge your agents' knowledge gaps.
Result:
Improve response accuracy and increase customer satisfaction with insights based on real-world data.
AI Agents
chatbase
Connector chatbase · Secure OAuth 2.0
Your Chatbase data is sitting idle
Most companies collect thousands of queries via Chatbase without ever analyzing them deeply. Yet, this data holds treasures regarding customer expectations, friction points, and unanswered questions. The result: stagnant agents and missed business opportunities.
Main negative impacts:
Invisible knowledge gaps
Without analysis, you ignore the questions your agent fails to answer, frustrating your users.
Loss of valuable customer insights
Search trends and emerging needs remain buried under a pile of unprocessed logs.
Guesswork-based optimization
You adjust your knowledge base blindly rather than relying on real user queries.
Swiftask automates the analysis of your Chatbase queries. Our AI agent processes your logs, identifies patterns, categorizes topics, and provides concrete recommendations to enrich your knowledge base.
BEFORE / AFTER
What changes with Swiftask
Manual analysis
You export your Chatbase logs, spend hours reading hundreds of lines, and try to group themes manually in a spreadsheet. It's slow, tedious, and prone to cognitive bias.
Intelligent analysis with Swiftask
Swiftask ingests your Chatbase data continuously. The AI agent automatically detects recurring themes, response failures, and complex questions. You receive a ready-to-use synthetic report.
Optimize your Chatbase performance in 4 steps
1
STEP 1 : Connect your Chatbase sources
Integrate Swiftask with your Chatbase project via API to allow secure access to your conversation logs.
2
STEP 2 : Define analysis objectives
Configure your agent's goals (e.g., topic detection, sentiment analysis, identifying unanswered questions).
3
STEP 3 : Run automated analysis
The AI agent processes queries in the background, classifying each interaction based on your criteria.
4
STEP 4 : Apply recommendations
Review optimization suggestions in your dashboard and update your knowledge base with one click.
Advanced analysis features
Our agent breaks down every query: user intent, extracted entities, confidence level of the initial response, and response time.
- Target connector: The agent performs the right actions in chatbase based on event context.
- Automated actions: Automatic topic detection, identifying unanswered questions, sentiment analysis per conversation, clustering of similar queries.
- Native governance: All analyses respect data privacy and are processed in a secure environment.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-chatbase@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.
Benefits of data-driven analysis
Continuous improvement
Enrich your knowledge base with real questions asked by your users.
Operational time saving
Stop wasting time reading logs manually; let the AI do the heavy lifting.
Increased resolution rate
By bridging identified gaps, your agent answers correctly to an increasing number of queries.
Clear customer vision
Understand what your customers truly expect from your service.
Reduction of errors
Objective analysis eliminates guesswork in your chatbot optimization.
Security and privacy
Swiftask applies enterprise-grade security standards for your chatbase automations.
- Data encryption: Your Chatbase logs are processed securely and are never shared with third parties.
- Anonymization: Option to anonymize sensitive data before analysis for full GDPR compliance.
- Restricted access: You control who within your organization can access the analysis results.
- Enterprise compliance: Swiftask meets the most demanding security standards for B2B companies.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on key metrics
| Metric | Before | After |
|---|---|---|
| Log analysis time | Several days per month | A few minutes per day |
| Correct response rate | Stagnant | Constantly rising |
| Unanswered questions | Unidentified | Listed and addressed |
| Customer satisfaction (CSAT) | Average | Improved |
Take action with chatbase
Improve response accuracy and increase customer satisfaction with insights based on real-world data.