Swiftask transforms how you interact with Gistly. Stop searching by keywords, ask questions in natural language, and get precise answers based on your documents.
Result:
Save hours every week. Access your business knowledge instantly, regardless of the exact terms used.
Classic keyword search limits your productivity
In Gistly, finding specific information becomes complex as your document base grows. Traditional text search fails when terms differ slightly or context is implicit.
Main negative impacts:
Swiftask indexes your Gistly content to offer advanced semantic search. The AI understands the intent behind your query and brings you the exact answer, even if the words differ.
BEFORE / AFTER
What changes with Swiftask
Traditional search
You search for a refund policy document. You type 'refund'. If the document uses the term 'credit policy' or 'return procedure', your search returns no relevant results. You have to refine manually.
Swiftask + Gistly semantic search
You ask: 'What is the procedure to return a product?'. The Swiftask AI agent analyzes the meaning, understands the refund need, and instantly extracts the relevant paragraph from your Gistly document.
Deploying your semantic search engine in 4 steps
STEP 1 : Connect Gistly to Swiftask
Integrate your Gistly spaces into Swiftask in a few clicks. The agent begins indexing your documents securely.
STEP 2 : Configure the search agent
Define the search scope (specific folders or the entire workspace) and the expected tone of the answers.
STEP 3 : Contextual training (optional)
Give specific instructions to the agent on how to interpret your business documents for higher precision.
STEP 4 : Natural language querying
Your users can now ask complex questions via the Swiftask interface and get synthesized answers.
Advanced capabilities of your search agent
The agent doesn't just find a document. It analyzes the semantics of your question, compares concepts vectorized in Gistly, and synthesizes a relevant answer.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-gistly@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 adopt semantic search
1. Increased precision
Get results based on meaning rather than exact character matching.
2. Operational time savings
Drastically reduce time spent searching for scattered information.
3. Improved onboarding
New employees immediately access collective knowledge without depending on experts.
4. Reduced errors
By accessing the right information, decisions are based on up-to-date and verified data.
5. Intuitive interface
No need to master complex search operators, natural language is enough.
Confidentiality and data mastery
Swiftask applies enterprise-grade security standards for your gistly automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Measurable impact on your business knowledge
| Metric | Before | After |
|---|---|---|
| Average search time | 5-10 minutes | Under 10 seconds |
| Search success rate | Variable (depends on formulation) | Very high (semantic understanding) |
| User satisfaction | Average (frustration) | High (autonomy) |
| Setup time | Complex development | A few minutes (no-code) |
Take action with gistly
Save hours every week. Access your business knowledge instantly, regardless of the exact terms used.