Swiftask orchestrates your workflows using Lettria's advanced text analysis. Turn unstructured data into instant, automated actions.
Result:
Boost precision and drastically reduce manual processing of complex documents.
AI Agents
lettria
Connector lettria · Secure OAuth 2.0
Extracting value from thousands of documents (emails, contracts, tickets) is a major challenge. Teams waste massive amounts of time manually analyzing information, leading to errors and bottlenecks.
Main negative impacts:
Inefficient manual processing
Human analysis of repetitive documents is expensive, slow, and fails to scale as volumes increase.
Siloed data
Extracted insights often remain trapped in files or tools, failing to drive downstream business processes.
Limited responsiveness
Latency between receiving a document and processing it prevents real-time decision-making.
Swiftask connects Lettria to your business tools. Once a document is detected, Lettria analyzes it, and Swiftask automatically triggers the appropriate actions in your ecosystem.
BEFORE / AFTER
Before automation
A team member receives a complex email, reads it, extracts key entities, enters this info into a CRM, then triggers an email response. Slow and error-prone.
With Swiftask + Lettria
The document is received. Lettria analyzes the text and identifies structured data. Swiftask pulls this data, updates your CRM, and sends a personalized response automatically.
1
STEP 1 : Define the logic
Create your workflow in Swiftask. Identify triggers (email, file upload, webhook) that require text analysis.
2
STEP 2 : Configure Lettria
Integrate Lettria as your analysis engine. Configure NLP models to extract entities and intents specific to your business.
3
STEP 3 : Map the data
Match Lettria's outputs with the fields of your target applications in Swiftask.
4
STEP 4 : Go live
Activate the workflow. Swiftask processes every document in real-time, ensuring seamless and error-free execution.
The agent finely analyzes each document: intent classification, named entity extraction, sentiment analysis, and automatic summarization.
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.
Eliminate human entry errors through structured data extraction powered by Lettria.
Handle thousands of documents per hour without adding human resources.
Free your teams from repetitive reading tasks to focus on complex cases.
Modify your workflows quickly in Swiftask without redesigning your NLP infrastructure.
Ensure standardization of extracted information across all your business tools.
Swiftask applies enterprise-grade security standards for your lettria automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Processing time per doc | 10-15 minutes | A few seconds |
| Entry error rate | 5-10% | Near 0% |
| Volume handled | Limited by humans | Unlimited (automated) |
| Operational ROI | High processing costs | 80% reduction in costs |
Boost precision and drastically reduce manual processing of complex documents.