Analyze your audio transcripts instantly with AI
Swiftask partners with Kagi's Universal Summarizer to turn your long meeting minutes into structured and actionable summaries.
Result:
Save hours of weekly work by reading only the essential parts of your discussions.
AI Agents
universal summarizer by kagi
Connector universal summarizer by kagi · Secure OAuth 2.0
Information loss in your transcripts
Raw transcripts are unreadable and time-consuming. You waste precious time searching for a specific decision or action plan in pages of unstructured text.
Main negative impacts:
Cognitive overload
Reading full transcripts prevents your teams from focusing on high-value tasks.
Forgotten decisions
Without automatic synthesis, critical decision points are often lost in the flow of conversation.
Difficult team alignment
The lack of clear summaries creates blind spots between departments, slowing down project execution.
Swiftask automates the analysis of your transcripts via Kagi's Universal Summarizer. Instantly get summaries, action lists, and key points.
BEFORE / AFTER
What changes with Swiftask
The manual process
You have to re-listen to an hour-long meeting or read 20 pages of transcripts to identify the three decisions made. It's a massive productivity drain.
The Swiftask + Kagi approach
Immediately after the meeting, Swiftask sends the transcript to the Kagi engine. You receive a structured summary via email or in your project management tool.
Optimize your transcripts in 4 steps
1
STEP 1 : Integrate Kagi into Swiftask
Activate the Universal Summarizer connector in your Swiftask dashboard in a few clicks.
2
STEP 2 : Define your analysis workflow
Configure the trigger: as soon as a transcript file is uploaded, analysis starts automatically.
3
STEP 3 : Customize the output format
Choose the level of detail: executive summary, task list, or specific data extraction.
4
STEP 4 : Automate distribution
The agent sends the final result to stakeholders via Slack, Teams, or email.
Advanced analysis capabilities
The Kagi engine analyzes structure, tone, and named entities to extract the deep meaning of conversations.
- Target connector: The agent performs the right actions in universal summarizer by kagi based on event context.
- Automated actions: Automatic synthesis of long documents. Action plan extraction (to-do lists). Participant and role identification. Sentiment and roadblock detection.
- Native governance: All analyses are kept in Swiftask to ensure a history of your decisions.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-universal-summarizer-by-kagi@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 this automation?
Instant clarity
Turn hours of audio into a few essential paragraphs.
Action tracking
Never miss a deadline or a commitment made in a meeting again.
Standardization
All your minutes follow the same format, making them easier for management to read.
Massive time savings
Reduce administrative processing time by 90%.
Confidentiality
Swiftask ensures the secure processing of your meeting data.
Commitment to security and compliance
Swiftask applies enterprise-grade security standards for your universal summarizer by kagi automations.
- Data encryption: All transcripts are encrypted during transfer to the summarization engine.
- GDPR compliant: We adhere to the strictest standards regarding personal data protection.
- Full control: You decide which transcripts are analyzed and who has access to the results.
- Continuous audit: Track every operation performed by the agent in your Swiftask logs.
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 | 60+ minutes | Less than 2 minutes |
| Missed action rate | High | Near 0 |
| Team adoption | Low (resistance) | High (automated) |
| Operational cost | High (man-hours) | Reduced (AI) |
Take action with universal summarizer by kagi
Save hours of weekly work by reading only the essential parts of your discussions.