Swiftask connects your AI agents to your Asters knowledge base. Stop searching by keywords, ask questions in natural language and get precise answers.
Result:
Save valuable time by eliminating tedious manual searching. Access your company's knowledge in seconds.
AI Agents
asters
Connector asters · Secure OAuth 2.0
In complex environments like Asters, finding a specific document or data point is a challenge. Traditional keyword search returns too many irrelevant results or fails to find conceptually linked documents, leading to daily time loss.
Main negative impacts:
Time wasted searching
Your employees spend hours navigating file trees to find a specific piece of information.
Irrelevant results
Simple text search ignores context, drowning you in documents that don't answer your actual question.
Knowledge silos
Useful information remains isolated because it is not intelligently indexed and accessible to all departments.
Swiftask revolutionizes your access to information on Asters through semantic search. Our AI agents understand the intent of your query and explore your data to extract the exact answer.
BEFORE / AFTER
Without Swiftask
You are looking for a specific procedure. You test several keywords in Asters, browse the results, open each document one by one to check if it contains the info, and eventually ask a colleague.
With Swiftask + Asters
You ask your question in natural language to the Swiftask agent: 'What is the procedure for validating a client contract?'. The agent analyzes your Asters documents and answers you instantly, citing its sources.
1
STEP 1 : Create your Swiftask agent
Configure an agent dedicated to analyzing and searching through your documents.
2
STEP 2 : Connect your Asters source
Link Swiftask to your Asters instance to allow secure indexing of your data.
3
STEP 3 : Intelligent indexing
The agent automatically analyzes and vectorizes your content to make semantic search possible.
4
STEP 4 : Query your data
Ask your questions via the Swiftask interface and get immediate contextual answers.
The agent analyzes conceptual relevance, semantic proximity, and the freshness of documents indexed in Asters.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-asters@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.
Drastically reduce information retrieval time.
Get answers based on context, not just keywords.
Everyone can query the knowledge base without complex training.
Strict respect for access rights defined in Asters.
The agent improves as you add new documents.
Swiftask applies enterprise-grade security standards for your asters automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Average search time | 10-20 minutes | Less than 30 seconds |
| Result relevance rate | Low | High (>90%) |
| Team adoption | Difficult | Instant |
Save valuable time by eliminating tedious manual searching. Access your company's knowledge in seconds.