Master your data with Hansei semantic search
Swiftask integrates Hansei to deliver precision semantic search. Stop searching for keywords; find answers based on meaning and context.
Result:
Eliminate the frustration of unsuccessful searches and drastically accelerate access to business information.
AI Agents
hansei
Connector hansei · Secure OAuth 2.0
Traditional keyword search limits your teams
In a sea of documents, traditional text search fails as soon as vocabulary changes. If your query doesn't contain the exact word, the information remains invisible. This inefficiency paralyzes decision-making.
Main negative impacts:
Document search time loss
Employees spend hours navigating folders without finding specific information due to lack of exact matches.
Information silos
Critical data remains isolated because current systems do not understand the semantic relationships between documents.
Reduced productivity
The inability to extract knowledge quickly hinders complex task execution and onboarding of new hires.
Thanks to the Swiftask and Hansei integration, your knowledge base becomes an intelligent search engine. AI analyzes the deep meaning of your documents to answer user questions precisely.
BEFORE / AFTER
What changes with Swiftask
Without semantic search
You search for 'refund policy'. If the document uses 'return procedure', the search engine returns nothing. You try five different phrasings, waste 10 minutes, then ask a colleague manually.
With Swiftask + Hansei
You ask your question in natural language: 'How do I return a product?'. Hansei understands the intent, identifies the 'refund policy' document, and gives you the immediate answer.
Deploying your AI search engine
1
STEP 1 : Connect sources to Hansei
Centralize your documents and knowledge bases in Hansei via Swiftask to create your semantic index.
2
STEP 2 : Configure the search agent
Define Swiftask agent settings to query the Hansei index with tone and precision levels tailored to your needs.
3
STEP 3 : Train on business context
Adjust search vectors to prioritize internal documents and ensure result relevance.
4
STEP 4 : Integrate and query
Publish your search interface to your collaborative tools or via a dedicated API, ready for use.
Intelligent search capabilities
Hansei processes natural language to map concepts, not just characters. It captures synonyms, business jargon, and contextual nuances.
- Target connector: The agent performs the right actions in hansei based on event context.
- Automated actions: Multi-source search, synthesized answers with cited sources, metadata filtering, complex question comprehension, real-time index updates.
- Native governance: Precision is guaranteed by a RAG (Retrieval-Augmented Generation) architecture optimized for the enterprise.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-hansei@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 the organization
Increased precision
Get relevant answers even when search terms differ from source content.
Unified access
Query all your document silos from a single, secure entry point.
Support reduction
Reduce repetitive requests through a high-performance self-service knowledge base.
Massive time savings
Transform complex hours-long searches into seconds of AI conversation.
Business scalability
Add new documents: the semantic index adapts automatically without manual re-indexing.
Data governance and security
Swiftask applies enterprise-grade security standards for your hansei automations.
- Secure access control: Access control ensures users only see information they are authorized to access.
- Privacy guaranteed: Your data remains isolated in your instance and is not used to train public models.
- Enterprise compliance: Fine-grained read permission management and full audit trail of queries performed.
- Robust infrastructure: Architecture designed for large-scale deployment and high availability.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Measurable impact on search
| Metric | Before | After |
|---|---|---|
| Search time | Several minutes | Under 5 seconds |
| Relevance rate | Low (too much noise) | Very high (contextual) |
| Unanswered questions | Frequent | Negligible |
| User satisfaction | Dissatisfaction due to search | Process optimization |
Take action with hansei
Eliminate the frustration of unsuccessful searches and drastically accelerate access to business information.