Automatically structure your chat data with AI
Swiftask analyzes your incoming chat streams and classifies them instantly. Never miss a crucial insight buried in the volume again.
Result:
Transform conversational chaos into organized insights, ready for your dashboards and business tools.
AI Agents
chat data
Connector chat data · Secure OAuth 2.0
Manual chat history management is inefficient
The volume of messages exchanged daily on your chat platforms is colossal. Without classification, this data remains unstructured, impossible to leverage for reporting, compliance, or customer experience improvement.
Main negative impacts:
Loss of critical information
Customer insights or technical issues are forgotten amidst thousands of unsorted messages.
Team cognitive overload
Your employees spend valuable time searching and manually sorting information in their history.
Unusable data for AI
Without automatic tagging, your data cannot effectively feed your analytics models or BI tools.
Swiftask deploys specialized AI agents to scan your chat streams in real-time. They identify, categorize, and tag every message according to your business rules.
BEFORE / AFTER
What changes with Swiftask
The chaos of unsorted data
Your chat histories are isolated silos. To analyze a trend, an analyst must manually read hundreds of threads, extract data, and copy it into Excel.
Structured conversational intelligence
Every message is instantly classified by AI (e.g., 'Support', 'Sales', 'Bug', 'Feedback'). Data is pushed to your CRM or database, ready for analysis.
Setting up your AI classification in 4 steps
1
STEP 1 : Define your taxonomies
Create your categories in Swiftask: themes, urgency levels, or departments.
2
STEP 2 : Connect your chat sources
Link Swiftask to your messaging tools via our secure connectors to import data in real-time.
3
STEP 3 : Configure the classification engine
Train the AI agent to recognize your categories through simple examples or semantic rules.
4
STEP 4 : Automate the export
Designate the destination for classified data: CRM, ticketing tool, or data warehouse.
Advanced conversational sorting capabilities
The AI analyzes not just keywords, but also context, sentiment, and the intent behind every message.
- Target connector: The agent performs the right actions in chat data based on event context.
- Automated actions: Automatic classification by topic. Sentiment detection. Entity extraction (names, dates, ticket numbers). Automatic routing to the right teams. Intelligent archiving.
- Native governance: Classification accuracy continuously improves through your feedback in the Swiftask interface.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-chat-data@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.
Operational benefits of auto-classification
Massive time savings
Eliminate manual sorting. Your teams focus on resolution, not organization.
Increased precision
AI doesn't tire and applies your classification rules with perfect consistency 24/7.
Real-time reporting
Access reliable statistics on conversation topics as they occur.
Simplified compliance
Automatically identify and classify sensitive data to adhere to your retention policies.
Total scalability
Whether you process 100 or 100,000 messages a day, Swiftask scales instantly.
Conversational data security
Swiftask applies enterprise-grade security standards for your chat data automations.
- Automatic anonymization: Sensitive data can be masked before any processing by the AI.
- Guaranteed confidentiality: Swiftask processes your data with end-to-end encryption and does not use it to train our public models.
- Granular control: Precisely define which conversations are analyzed and by which agents.
- GDPR compliance: All our processing operations comply with European data protection requirements.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Measurable impact on your productivity
| Metric | Before | After |
|---|---|---|
| Processing time per message | Several minutes (manual) | A few milliseconds (AI) |
| Classification error rate | Variable (human) | Less than 2% (AI) |
| Data visibility | Disconnected silos | Structured and centralized data |
| Operational cost | High (human resources) | Reduced (automation) |
Take action with chat data
Transform conversational chaos into organized insights, ready for your dashboards and business tools.