Turn your 2Chat conversations into strategic trend synthesis
Swiftask analyzes your 2Chat data streams to identify emerging trends. Get actionable insights without wasting time on manual analysis.
Result:
Save hours of analysis time every week and make data-driven decisions.
AI Agents
2chat
Connector 2chat · Secure OAuth 2.0
The volume of 2Chat data makes manual analysis impossible
Your teams receive hundreds of messages daily via 2Chat. Extracting key trends from this constant flow is a major challenge. Without the right tool, weak signals go unnoticed, and strategic decisions are made without a clear market view.
Main negative impacts:
Information overload
The accumulation of messages makes it impossible to identify recurring topics or changes in customer behavior.
Missed opportunities
Emerging trends are not detected in time, leaving room for competitors.
Operational time loss
Teams spend hours reading and compiling data instead of taking action.
Swiftask connects your 2Chat account to a dedicated AI. It automatically analyzes, categorizes, and synthesizes your exchanges to deliver clear, actionable trend reports.
BEFORE / AFTER
What changes with Swiftask
Without Swiftask
An analyst spends several hours a week manually scanning 2Chat logs, jotting down keywords, and trying to create an Excel report that is obsolete as soon as it's published.
With Swiftask + 2Chat
Your AI agent scans 2Chat streams continuously. As soon as a trend emerges, a synthesis report is generated and sent to your management team. You act instantly.
How to automate your trend synthesis
1
STEP 1 : Connect 2Chat to Swiftask
Configure the 2Chat integration in Swiftask to allow the AI to read your conversation streams securely.
2
STEP 2 : Define your analysis goals
Tell the agent which topics or behaviors you want to monitor to guide the synthesis.
3
STEP 3 : Configure report frequency
Choose to receive synthesis reports in real-time, daily, or weekly.
4
STEP 4 : Analyze and decide
View your trend reports directly in your Swiftask dashboard or receive them via email.
Key features of 2Chat analysis
The AI analyzes sentiment, recurring topics, customer requests, and language evolution within your 2Chat conversations.
- Target connector: The agent performs the right actions in 2chat based on event context.
- Automated actions: Automatic topic detection. Customer sentiment analysis. Executive summary generation. Alerts on sudden behavior changes. Data export to your BI tools.
- Native governance: All analyses are based on your real data, with total confidentiality.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-2chat@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 automated synthesis
Real-time insights
Never be overwhelmed by the rapid evolution of your markets or customer expectations.
Increased accuracy
AI doesn't get tired and never misses a detail, unlike human readers.
Team alignment
Everyone works with the same understanding of current trends.
Productivity gains
Free your analysts from repetitive tasks to focus on strategy.
Better reactivity
React to trends before they become market standards.
Security and privacy
Swiftask applies enterprise-grade security standards for your 2chat automations.
- Secure processing: Your 2Chat data is processed with high encryption standards.
- Compliance: Solution compliant with B2B data protection standards.
- Full control: You choose which data is analyzed and by which agents.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your performance
| Metric | Before | After |
|---|---|---|
| Weekly analysis time | 10+ hours | 0 hours (automated) |
| Trend detection delay | Several days | A few minutes |
| Report accuracy | Variable (subjective) | Consistent (data-driven) |
Take action with 2chat
Save hours of analysis time every week and make data-driven decisions.