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Supercharge your document search with Droxy's semantic power

Swiftask integrates with Droxy to provide context-aware search. Find the exact answer, even without the exact keyword.

Result:

Cut down search time and eliminate the frustration of irrelevant results.

Classic search engines hinder your productivity

Keyword search is outdated. Your staff wastes time testing query variations without finding target documents, simply because they don't know the exact vocabulary used in your databases.

Main negative impacts:

  • Time lost in search: Hours are wasted every week digging through poorly indexed folders and knowledge bases.
  • Irrelevant results: The engine returns a list of documents based on word frequency, ignoring the actual context of the query.
  • Knowledge silos: Information exists but remains inaccessible, creating dependency on experts for simple questions.

The Swiftask + Droxy integration analyzes the intent behind every question. It understands the deep meaning of your documents to extract the precise answer, instantly.

BEFORE / AFTER

What changes with Swiftask

Traditional keyword search

You type 'billing' into your database. The system returns 50 PDFs containing the word. You have to open each document to see if it's a policy, a procedure, or an example. It's slow and inefficient.

Semantic search with Swiftask + Droxy

You ask: 'What is the procedure to dispute a client invoice?'. The AI understands the intent, scans your Droxy documents, and gives you the answer directly with cited sources.

Deploying your intelligent search engine

STEP 1 : Connect your Droxy base

Link your Droxy data sources to your Swiftask workspace via a secure configuration.

STEP 2 : Semantic indexing

Swiftask automatically analyzes and vectorizes your document content for granular understanding.

STEP 3 : Agent configuration

Define permissions and the response tone of your search agent.

STEP 4 : Natural language querying

Your teams start asking complex questions and get immediate answers.

Augmented search capabilities

The agent analyzes semantic structure, document context, and relevance to the user's query.

  • Target connector: The agent performs the right actions in droxy based on event context.
  • Automated actions: Multi-document search, answer synthesis, source citation, support for various formats (PDF, Docx, Markdown), metadata filtering.
  • Native governance: Precision improves over time thanks to user feedback on provided answers.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-droxy@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 enterprise advantages

1. Increased precision

Get exact answers rather than a list of potentially useful links.

2. Productivity gains

Free your teams from tedious search tasks for high-value work.

3. Knowledge accessibility

Democratize access to internal information for all employees, regardless of their level.

4. Error reduction

Ensure your teams always use the most recent versions of your documents.

5. Scalability

The system remains high-performing even as your knowledge base grows exponentially.

Data security and privacy

Swiftask applies enterprise-grade security standards for your droxy automations.

  • End-to-end encryption: All indexed data is protected according to banking standards.
  • Granular access control: You decide who has access to which document via fine-grained permission management.
  • GDPR compliance: The infrastructure meets the strictest standards for personal data protection.
  • Environment isolation: Each client has an isolated and secure search environment.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Measurable impact on your operations

MetricBeforeAfter
Average search time10+ minutes per docUnder 5 seconds
Employee satisfactionLow (frustration)High (efficiency)
Information qualityUneven (manual search)Standardized (AI)
Document capacityLimited by indexingUnlimited (vectorization)

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Cut down search time and eliminate the frustration of irrelevant results.

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