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Summarize your Power BI reports in natural language with AI

Swiftask analyzes your Power BI data and automatically writes clear, actionable summaries. Decision-makers get the insights they need without navigating complex dashboards.

Result:

Save valuable time on data analysis and speed up strategic decision-making.

Reading Power BI reports is time-consuming and complex

Power BI dashboards are powerful, but interpreting them requires time and expertise that not everyone has. Managers spend too much time hunting for trends, creating decision-making bottlenecks.

Main negative impacts:

  • Cognitive overload: Faced with dozens of charts, employees struggle to identify the key insights needed to take action.
  • Inconsistent analysis: Each user interprets data differently, leading to decisions based on conflicting readings.
  • Repetitive manual reporting: Analysts spend hours writing manual comments to accompany reports, at the expense of deep analysis.

Swiftask automates the synthesis of your Power BI reports. Our AI agent extracts key data, identifies anomalies, and writes a natural language summary ready to share.

BEFORE / AFTER

What changes with Swiftask

The traditional process

A manager opens Power BI, spends 20 minutes filtering, comparing, and interpreting data. They then have to write a summary email for their team. The process is slow and prone to human error.

With Swiftask + Power BI

As soon as a report is updated in Power BI, Swiftask automatically generates a synthetic summary. Key information is sent directly via email or Teams, enabling immediate action.

Setting up your AI summaries in 4 steps

STEP 1 : Connect your Power BI data

Link your Power BI instance to Swiftask in a few clicks. No changes to your existing reports are required.

STEP 2 : Define key performance indicators

Select the KPIs and metrics you want the AI agent to monitor and summarize within your reports.

STEP 3 : Set the summary style

Configure the tone, language, and format of the summary (e.g., executive style, technical, or alert).

STEP 4 : Automate distribution

Choose the generation frequency and the receiving channel (email, Slack, Teams, Swiftask).

Your agent's analysis capabilities

The agent examines trend variations, threshold breaches, correlations between variables, and deviations from set goals.

  • Target connector: The agent performs the right actions in microsoft power bi based on event context.
  • Automated actions: Natural language summary generation. Automatic anomaly detection. Time-based comparisons. Highlighting critical KPIs. Multilingual support for global teams.
  • Native governance: You retain full control over interpretation rules to ensure perfect alignment with your business strategy.

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.

Benefits for your management

1. Data democratization

Make your data accessible to everyone, even non-analyst profiles, through clear synthesis.

2. Fact-based decisions

Avoid manual interpretation bias. The AI provides neutral summaries based on your real data.

3. Increased productivity

Free your analysts from reporting tasks so they can focus on optimization.

4. Enhanced reactivity

Be alerted immediately to significant changes in your performance indicators.

5. Strategic alignment

Ensure the entire organization receives the same key information at the same time.

BI data security

Swiftask applies enterprise-grade security standards for your microsoft power bi automations.

  • Secure access: Swiftask uses OAuth authentication to access only authorized reports.
  • Guaranteed confidentiality: Your data is not used to train public models. Your information remains private.
  • GDPR compliance: All processing meets the strictest standards for enterprise data protection.
  • Audit and logs: Review the history of generated summaries to ensure decision traceability.

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

RESULTS

Impact on your performance

MetricBeforeAfter
Report reading time20-40 minutesUnder 2 minutes
Analyst time per report1-2 hours0 (automated)
Data adoption rateLow (too complex)High (accessible)

Take action with microsoft power bi

Save valuable time on data analysis and speed up strategic decision-making.

Supercharge your Power BI forecasting with AI

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