Swiftask connects your AI agents to InfoLobby to understand the deep meaning of your documents. Don't search for keywords, find answers.
Result:
Accelerate the retrieval of critical information and eliminate fruitless searches in your document bases.
Why traditional keyword search fails in InfoLobby
Storing information in InfoLobby is efficient, but finding it is often a challenge. If you don't know the exact term used in a document, you miss the information. This limitation holds back your team's productivity.
Main negative impacts:
Swiftask implements a semantic search layer over your InfoLobby data. By using embeddings, the AI understands the intent behind your question and identifies relevant documents, even without keyword matches.
BEFORE / AFTER
What changes with Swiftask
Traditional InfoLobby search
You type 'onboarding procedure'. The system only displays documents containing these two words exactly. You miss the document titled 'New Hire Integration Guide' because the terms don't match.
Semantic search with Swiftask
You ask the question: 'How to integrate a new employee?'. The AI agent analyzes the meaning and immediately suggests the 'New Hire Integration Guide', as it understands the semantic relationship between the concepts.
Activate intelligent search in 4 steps
STEP 1 : Connect your InfoLobby instance
Configure secure access to your InfoLobby base from the Swiftask interface to enable indexing of your documents.
STEP 2 : Intelligent data indexing
Swiftask processes your documents to create semantic vector representations, making the content 'understandable' by the AI.
STEP 3 : Define search agents
Create an agent dedicated to knowledge extraction. Define its search scope and allowed document types.
STEP 4 : Query your bases in natural language
Ask your questions in natural language. The agent browses InfoLobby and provides precise answers with associated sources.
Advanced semantic analysis capabilities
The agent evaluates the contextual relevance between the user query and the document chunks indexed in InfoLobby.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-infolobby@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 knowledge management
1. Increased productivity
Drastically reduce time spent searching for information. Get direct answers instead of lists of files.
2. Better data utilization
Unlock the value of your entire InfoLobby document base, including documents overlooked by traditional searches.
3. Reduced errors
Access the correct version of a document or the up-to-date procedure, thanks to superior contextual understanding.
4. Simplified adoption
Natural language interface allows any employee to query the base without technical training.
5. Full transparency
Each answer is supported by cited sources, ensuring user trust in the provided results.
Security and data privacy
Swiftask applies enterprise-grade security standards for your infolobby automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
AI search performance indicators
| Metric | Before | After |
|---|---|---|
| Average search time | Several minutes | A few seconds |
| Answer precision rate | Random (depends on keywords) | High (contextual) |
| Volume of accessible documents | Limited to titles and tags | Full semantic content |
| User training effort | Learning search syntaxes | None (natural language) |
Take action with infolobby
Accelerate the retrieval of critical information and eliminate fruitless searches in your document bases.