Swiftask connects your AI agents to your Power BI datasets. Ask your questions in plain English and get precise answers, instantly.
Result:
Democratize data access. No need to master DAX or BI tools to get your key performance indicators.
BI tool complexity hinders insight discovery
Extracting specific information from Power BI dashboards often requires technical expertise or help from an analyst. This bottleneck slows down decision-making and creates unnecessary reliance on technical teams.
Main negative impacts:
Swiftask turns your Power BI into an interactive knowledge base. Through semantic search, your AI agents interpret your natural language questions and extract relevant data directly from your datasets.
BEFORE / AFTER
What changes with Swiftask
Without Swiftask
A manager looks for revenue by region for the last quarter. They must open Power BI, filter columns, adjust slicers, and hope the visual shows the right data. If the question changes, they have to start manually all over again.
With Swiftask + Power BI
The manager asks their Swiftask agent: 'What is the revenue by region this quarter?'. The agent queries the Power BI dataset, processes the data, and provides a clear summary instantly, with no technical effort.
4 steps to enable semantic search on your data
STEP 1 : Connect your Power BI workspace
Authenticate Swiftask with your Power BI environment. The agent indexes your dataset metadata to understand their structure.
STEP 2 : Define the analysis scope
Select the datasets the agent is allowed to query. You maintain full control over information confidentiality.
STEP 3 : Configure interpretation capabilities
Teach your agent your company's business vocabulary so it translates your questions into accurate data queries.
STEP 4 : Query and gain insights
Ask your questions via the Swiftask interface. The agent analyzes, synthesizes, and provides the expected answer in seconds.
The power of semantic AI search
The agent goes beyond simple keywords. It understands context, relationships between tables, and the intent behind your question to cross-reference data effectively.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-microsoft-power-bi@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 choose Swiftask for your data
1. Business team autonomy
Every employee becomes capable of analyzing their own data without relying on a BI analyst.
2. Real-time insights
Get immediate answers to complex questions, drastically accelerating decision-making.
3. Cost reduction
Decrease BI support ticket volume and free up your data experts for higher-value projects.
4. Semantic precision
The AI understands business meaning, preventing interpretation errors related to simple text searches.
5. Enhanced security
Data access remains governed by existing Power BI permissions, ensuring your governance compliance.
Data governance and security
Swiftask applies enterprise-grade security standards for your microsoft power bi automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your analytical performance
| Metric | Before | After |
|---|---|---|
| Time to insight | Several hours (manual) | A few seconds (AI) |
| IT/BI dependency | Systematic | Nearly zero for querying |
| Result accuracy | Human error risk | Source data reliability |
| Query volume capacity | Limited by resources | Unlimited and instant |
Take action with microsoft power bi
Democratize data access. No need to master DAX or BI tools to get your key performance indicators.