Swiftask connects your AI agents to Guru to turn your documentation into an intelligent, conversational engine. Stop struggling with keyword-based searches.
Result:
Your teams get precise answers in seconds, based on the real context of your knowledge base.
Traditional keyword search is killing your productivity
Guru is a goldmine of information, but finding the exact answer is often a struggle. Traditional search requires guessing the right terms. If the user doesn't type the exact keyword, they find nothing. This friction slows down support, sales, and onboarding.
Main negative impacts:
Swiftask adds a semantic search layer to Guru. Your AI agent understands the intent behind the question and extracts the exact answer, even if the terms differ from those in the base.
BEFORE / AFTER
What changes with Swiftask
Standard Guru search
A sales rep searches for a specific procedure. They try several keyword queries. They end up opening three different articles, reading entire paragraphs to finally find partial information. Meanwhile, the prospect has hung up.
Swiftask + Guru semantic search
The sales rep asks a natural language question to the Swiftask agent. The AI analyzes the query, performs a semantic search in Guru, and writes a concise, sourced answer. The response is ready in 3 seconds.
Implementing your AI search engine
STEP 1 : Connect your Guru instance
Integrate Guru with Swiftask in a few clicks via secure API. The agent automatically indexes your cards to prepare for semantic analysis.
STEP 2 : Define the search scope
Select the Guru collections or folders the agent should consult to ensure the relevance of the answers.
STEP 3 : Configure the agent's tone
Adjust the agent's personality to ensure it responds according to your communication standards (formal, direct, educational).
STEP 4 : Deploy instant access
Publish your agent in your workflow tools (Slack, Teams, Web) for immediate access to knowledge.
Intelligent search capabilities
The agent analyzes semantics, user context, and document hierarchy to isolate the most relevant information.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-guru@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.
Why switch to semantic search
1. Unmatched access speed
Go from reading documents to obtaining immediate, actionable answers.
2. Knowledge standardization
Ensure every team member accesses the most up-to-date version of information.
3. Reduced support load
The agent answers recurring questions, freeing up experts for higher-value tasks.
4. Ease of use
No need to learn how to formulate complex queries: just ask your question.
5. Guaranteed compliance
The agent respects Guru's permissions, ensuring only authorized documents are consulted.
Security and privacy
Swiftask applies enterprise-grade security standards for your guru automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on internal performance
| Metric | Before | After |
|---|---|---|
| Search time | 5-10 minutes per question | Under 5 seconds |
| Autonomous resolution rate | Low (expert-dependent) | High (via AI) |
| Answer accuracy | Variable | Standardized and sourced |
| Guru adoption | Limited | Maximized by AI |
Take action with guru
Your teams get precise answers in seconds, based on the real context of your knowledge base.