Instantly retrieve knowledge buried in Slack
Swiftask turns Slack into an accessible knowledge base. Ask a question, and your AI agent extracts the exact answer from your documents and history.
Result:
Save hours every week. Stop searching, start finding.
AI Agents
workspace test app
Connector workspace test app · Secure OAuth 2.0
Critical information is scattered across thousands of Slack messages
Slack has become a graveyard for corporate knowledge. Between endless threads, shared documents, and private decisions, finding specific information is a daily challenge for your teams.
Main negative impacts:
Massive time loss
Employees spend an average of 20% of their time searching for internal information. This is time lost for actual production.
Repetitive questions
The same questions are asked repeatedly in channels, unnecessarily burdening experts and managers.
Information silos
Knowledge stays trapped in private channels or forgotten threads, preventing effective sharing of best practices.
Swiftask intelligently indexes your content and makes it queryable via a conversational AI agent. You ask the question in Slack, the agent provides the answer with sources.
BEFORE / AFTER
What changes with Swiftask
Traditional Slack search
You use the native search bar. You get 50 unsorted results. You have to open each thread to verify if it's the right document version. You give up and ask a colleague.
Swiftask AI retrieval
You ask your agent a specific question in Slack. It analyzes your documents, threads, and files, then gives you a concise, sourced answer in seconds.
Deploy your search agent in 4 steps
1
STEP 1 : Centralize your sources
Connect Swiftask to your storage spaces (Drive, Notion, Confluence) and Slack channels to build your knowledge base.
2
STEP 2 : Configure the retrieval agent
Define the agent's search scope. What data can it access? Which channels is it permitted to read?
3
STEP 3 : Integrate into Slack
Install the Swiftask app in your Slack workspaces. Your users can now interact with the agent directly via mentions.
4
STEP 4 : Query, retrieve, validate
Ask your questions naturally. The agent provides answers backed by direct links to original sources.
Advanced search capabilities of your agent
The agent performs semantic search (understanding meaning) rather than just keyword matching. It takes channel context and access rights into account.
- Target connector: The agent performs the right actions in workspace test app based on event context.
- Automated actions: Multi-source simultaneous search. Answer synthesis from complex documents (PDF, Docs). Precise citation of sources with deep links. Role-based secure access.
- Native governance: The knowledge base is updated dynamically. Every new message or document is indexed in real time.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-workspace-test-app@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.
Benefits for your productivity
Reduced search time
Find information in seconds instead of minutes.
Employee autonomy
Every employee becomes capable of finding answers alone, without interrupting colleagues.
Knowledge capitalization
Transform the ephemeral Slack flow into lasting corporate memory.
Answer accuracy
Thanks to RAG (Retrieval Augmented Generation), the agent relies solely on your data to avoid hallucinations.
Data security
The agent strictly respects existing file and channel access permissions.
Data management and privacy
Swiftask applies enterprise-grade security standards for your workspace test app automations.
- Data isolation: Your corporate data stays siloed in your Swiftask space and is not used to train public models.
- Permission respect: The agent only answers with information the user already has access to in their tools.
- Encryption and compliance: All communications and storage adhere to the highest security standards (ISO, SOC2).
- Audit and control: Track requests made and sources consulted to maintain strict governance.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Measure the impact on efficiency
| Metric | Before | After |
|---|---|---|
| Average search time | 10-15 minutes per request | Under 30 seconds |
| Expert interruptions | Frequent (multiple times/day) | Reduced by 80% |
| Document accessibility | Scattered (multiple tools) | Centralized via Slack |
| Satisfaction rate | Low (search frustration) | High (rapid access) |
Take action with workspace test app
Save hours every week. Stop searching, start finding.