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Query your knowledge base from Microsoft Teams with AI

Swiftask turns your documents into a source of immediate answers. Ask your questions to your AI bot directly in your Teams channels.

Result:

Stop wasting time searching for files. Get precise, cited answers in seconds.

The hidden cost of information retrieval

Employees spend up to 20% of their time searching for information scattered across emails, shared folders, or wikis. This fragmentation slows down decision-making and creates daily frustration.

Main negative impacts:

  • Internal information silos: Data is spread across multiple platforms, making access complex for employees who need quick answers.
  • Overburdened subject matter experts: The same questions are asked repeatedly to experts, distracting them from high-value tasks.
  • Operational misalignment: Using obsolete document versions leads to costly errors and a lack of process consistency.

The Swiftask bot connects to your data sources and becomes your conversational search engine within Teams. It understands context and extracts relevant information in real time.

BEFORE / AFTER

What changes with Swiftask

Traditional searching

An employee looks for a refund policy. They browse SharePoint, dig through emails, then eventually ask a colleague on Teams. They wait 30 minutes for an answer, disrupting everyone's workflow.

Searching with Swiftask AI

The employee simply asks the Swiftask bot in Teams: 'What is the refund procedure?'. The AI analyzes authorized documents and responds instantly with the link to the exact source.

Activate your search assistant in 4 steps

STEP 1 : Centralize your data sources

Connect your knowledge bases (PDFs, Notion, SharePoint, Confluence) to your secure Swiftask workspace.

STEP 2 : Deploy the bot in Microsoft Teams

Add the Swiftask app to your Teams environment. Configure permissions to ensure access to the right information.

STEP 3 : Set search capabilities

Define your bot's areas of expertise. The AI will learn to index and prioritize your internal documents.

STEP 4 : Query and get answers

Your teams can now ask questions in natural language directly in Teams and receive cited answers.

Intelligent search capabilities

Swiftask AI goes beyond keyword matching: it performs semantic search based on understanding the meaning and context of the question.

  • Target connector: The agent performs the right actions in microsoft teams bot based on event context.
  • Automated actions: Instant multi-source search. Citations for verification. Granular access control. Support for various formats (PDF, docx, txt, markdown). Answers adapted to your company's tone.
  • Native governance: All interactions are secure and comply with your company's privacy policies.

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

Each Swiftask agent uses a dedicated identity (e.g. agent-microsoft-teams-bot@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.

Productivity benefits

1. Instant information access

Drastically reduce time spent navigating between storage tools.

2. Employee autonomy

Each team member accesses answers without constantly asking experts.

3. Data reliability

The AI relies on your official documents, ensuring up-to-date and verified answers.

4. Conversational experience

No complex interface: a simple chat in Teams is enough to get results.

5. Effortless scalability

Add new knowledge sources, and the assistant automatically integrates them into its search engine.

Data privacy and security

Swiftask applies enterprise-grade security standards for your microsoft teams bot automations.

  • Private local indexing: Your data remains isolated in your instance and is not used to train public models.
  • Granular control: Configure precisely which users or groups can access which document categories.
  • GDPR compliance: Swiftask adheres to the strictest security standards to protect your sensitive information.
  • Access traceability: Every question asked and source accessed is logged for total security.

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

RESULTS

Performance metrics

MetricBeforeAfter
Average search time15+ minutesUnder 5 seconds
Expert query volumeHighReduced by 60%
Response accuracyVariable (manual search)High (semantic indexing)
User adoptionLow (complex tools)High (via Teams)

Take action with microsoft teams bot

Stop wasting time searching for files. Get precise, cited answers in seconds.

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