Summarize complex, long reports with Lettria AI
Swiftask connects your workflows to Lettria's NLP expertise. Instantly transform bulky documents into structured, actionable summaries.
Result:
Stop wasting hours reading. Get the bottom line in seconds.
AI Agents
lettria
Connector lettria · Secure OAuth 2.0
Information overload kills decision-making
Annual reports, meeting transcripts, legal documents: the volume of information you need to process is growing. Manually reading, analyzing, and extracting key points consumes a disproportionate amount of your time.
Main negative impacts:
Operational time loss
Manual document processing is a repetitive task that distracts talent from high-value analysis.
Risk of missing critical details
When faced with hundreds of pages, the human eye can easily miss a crucial insight or an emerging trend.
Slow decision-making
Decision-making is slowed down by the time required to read and synthesize incoming documents.
Swiftask automates this process by routing your documents to Lettria. The AI analyzes, structures, and writes a concise summary, directly integrated into your existing tools.
BEFORE / AFTER
What changes with Swiftask
The traditional way
An analyst receives a 50-page report. They must read it entirely, highlight important points, and write a summary note. This takes hours and ties up an expensive resource.
The Swiftask + Lettria way
The document is automatically uploaded to your system. Swiftask triggers the analysis via Lettria. Within moments, the summary is ready, waiting to be shared or archived.
4 steps to automate your summaries
1
STEP 1 : Set up your workflow
In Swiftask, define your document sources (email, cloud storage, API).
2
STEP 2 : Activate the Lettria connector
Integrate Lettria as your semantic analysis engine to process your text files.
3
STEP 3 : Define output formats
Choose the level of detail for your summaries (bullet points, executive summary, data extraction).
4
STEP 4 : Automate and deliver
The result is automatically sent to your CRM, project management tool, or communication channel.
Semantic analysis capabilities
Lettria excels in contextual understanding and named entity extraction within complex texts.
- Target connector: The agent performs the right actions in lettria based on event context.
- Automated actions: Automatic summarization. Key entity extraction. Sentiment analysis. Thematic categorization. Multi-format support.
- Native governance: Swiftask handles full orchestration, ensuring the right summary reaches the right person.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-lettria@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?
Fast execution
Reduce analysis time from hours to seconds.
Consistent accuracy
The AI doesn't get tired and maintains a constant level of synthesis regardless of volume.
Standardization
All your summaries follow the same structure, making comparison and archiving easier.
Scalability
Process hundreds of documents simultaneously without extra effort.
Seamless integration
Connect your results to your entire existing software stack.
Privacy and compliance
Swiftask applies enterprise-grade security standards for your lettria automations.
- Secure processing: Your data is processed via encrypted channels compliant with GDPR standards.
- Data control: You maintain full control over the documents sent for analysis.
- Full audit trail: Keep a log of all generated summaries for compliance needs.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Operational performance
| Metric | Before | After |
|---|---|---|
| Synthesis time | Several hours | Under 1 minute |
| Volume handled | Limited by headcount | Unlimited (automated) |
| Cost per document | High (human time) | Dramatically reduced |
Take action with lettria
Stop wasting hours reading. Get the bottom line in seconds.