Summarize your LiveChat conversations instantly with AI agents
Swiftask analyzes your LiveChat interactions in real-time and generates concise summaries. Your agents immediately have the key information they need to act.
Result:
Cut down the time spent reading long chat histories and accelerate your support ticket resolution.
AI Agents
livechat
Connector livechat · Secure OAuth 2.0
Manual reading of LiveChat logs slows down your team
When facing long and complex conversations, your agents waste precious time reading full histories to understand the context. This bottleneck hinders responsiveness and increases customer frustration.
Main negative impacts:
Operational time loss
Reading through dozens of chat lines to grasp a customer issue consumes critical minutes for every single interaction.
Risk of misinterpretation
Fatigue or urgency can sometimes lead to missing key information during manual synthesis of the exchanges.
Fragmented customer follow-up
Without a structured summary, important information is not correctly passed on to the CRM or other departments.
Swiftask deploys AI agents that automatically synthesize every LiveChat exchange upon closure. You receive a structured report, ready for your team to use.
BEFORE / AFTER
What changes with Swiftask
Without Swiftask
An agent takes over an active support ticket. They must go through the entire chat history, filter out noise, and manually jot down key points. The customer waits, the agent is under pressure.
With Swiftask + LiveChat
As soon as the chat ends, Swiftask generates a clear summary: identified problem, steps already taken, and next actions. The agent takes over in seconds, with a perfect understanding.
Set up your AI synthesis in 4 steps
1
STEP 1 : Initialize your synthesis agent
Create a dedicated agent in Swiftask configured to analyze LiveChat transcripts.
2
STEP 2 : Connect your LiveChat account
Link your LiveChat instance to Swiftask via a secure, no-code integration.
3
STEP 3 : Define output format
Configure the type of summary desired: short format, action list, or direct CRM integration.
4
STEP 4 : Automate the workflow
The agent processes every completed conversation and automatically sends the summary where you need it.
Capabilities of your AI agent
The AI identifies intentions, extracts customer data, detects sentiment, and structures technical resolutions.
- Target connector: The agent performs the right actions in livechat based on event context.
- Automated actions: Automatic summary generation, extraction of follow-up actions, categorization by subject, and forwarding to third-party tools (CRM, ticketing tools).
- Native governance: The quality of the summary is adjustable via custom prompts to match your brand voice and specific business needs.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-livechat@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.
Strategic benefits for your support team
Massive productivity gain
Eliminate manual reading time and focus entirely on resolution.
Improved customer satisfaction
Faster and more relevant support thanks to immediate knowledge of the case history.
Structured data for your CRM
Feed your management tools with uniform and actionable summaries.
Easier onboarding
New agents learn faster by consulting clear summaries rather than raw histories.
Compliance and quality
Standardize the quality of your customer interaction documentation.
Confidentiality and data protection
Swiftask applies enterprise-grade security standards for your livechat automations.
- Data encryption: All transcripts are processed securely and anonymized according to your requirements.
- Access management: Precisely control who has access to summaries and AI tools within your organization.
- GDPR compliance: Swiftask ensures your data is processed in accordance with European regulations.
- Full audit trail: Keep a record of every generated summary for internal control purposes.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Measurable impact on your business
| Metric | Before | After |
|---|---|---|
| Reading time per ticket | 3-5 minutes | less than 30 seconds |
| Resolution speed (FRT) | high | reduced by 40% |
| CRM data quality | inconsistent | normalized and complete |
| Deployment time | custom development | immediate no-code setup |
Take action with livechat
Cut down the time spent reading long chat histories and accelerate your support ticket resolution.