Swiftask turns your Bilionis databases into an intelligent knowledge source. Query your data in natural language and get answers based on context, not exact matches.
Result:
Save valuable time by instantly accessing relevant information, even if it's not described by your specific keywords.
AI Agents
bilionis
Connector bilionis · Secure OAuth 2.0
Traditional search systems rely on exact matching. If your query doesn't contain the exact term present in your Bilionis documents, the information remains invisible. Your teams waste endless time trying to guess the right keyword.
Main negative impacts:
Unsuccessful searches
The lack of lexical correspondence hides vital information, reducing the efficiency of your employees.
Cognitive overload
Faced with a multitude of irrelevant results, users must filter manually, increasing decision fatigue.
Information silos
Valuable data remains isolated simply because it isn't tagged with standard search terms.
Swiftask implements a semantic search layer on top of Bilionis. Our AI understands the intent behind the query and the context of the documents, ensuring relevant results even without direct textual correspondence.
BEFORE / AFTER
Classic search in Bilionis
A user searches for 'billing issues'. The system only shows documents containing those exact words. Reports mentioning 'payment errors' or 'amount disputes' are ignored.
Semantic search with Swiftask
Semantic search understands that 'billing issues', 'payment errors', and 'disputes' share the same meaning. All relevant documents are surfaced instantly, regardless of their vocabulary.
1
STEP 1 : Connect your Bilionis instance
Configure the secure connection between your Bilionis space and Swiftask via our native connector.
2
STEP 2 : Automated vector indexing
Swiftask automatically analyzes and vectorizes your Bilionis documents to understand the semantic relationships between concepts.
3
STEP 3 : Search agent configuration
Define the search scope and the level of precision expected for your AI agents.
4
STEP 4 : Natural language querying
Ask your questions simply in the Swiftask interface. The AI browses Bilionis and synthesizes the answer.
The AI analyzes structure, vocabulary, and semantic relationships within your Bilionis data to rank results by actual relevance.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-bilionis@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.
Never miss out on critical data just for lacking precise keywords.
Drastic reduction in time spent searching for and verifying information in Bilionis.
A comprehensive and relevant view of your data allows for decisions based on exhaustive knowledge.
No need to master complex search syntaxes, just ask your questions.
The system automatically adapts to the addition of new documents in Bilionis.
Swiftask applies enterprise-grade security standards for your bilionis automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Search time | Several minutes per query | A few seconds |
| Relevance rate | Low (lots of 'noise') | High (targeted results) |
| Query complexity | Limited keywords | Full natural language |
| Data accessibility | Expertise required | Accessible to everyone |
Save valuable time by instantly accessing relevant information, even if it's not described by your specific keywords.