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  Dashboard Interface

AI-Powered Business Intelligence (BI) Agent

Inspiration

The AI-Powered BI Agent was inspired by the inefficiencies executives face with traditional BI tools: generic, time-consuming reports that fail to deliver quick, actionable insights. By focusing on personalized, role-specific reporting and natural language interaction, the solution aims to accelerate decision-making and improve business outcomes tailored to the needs of executives.

What it does

This multi-agent AI system delivers personalized, real-time business insights tailored to executive roles. It enables natural language data queries, customized report generation, and presents actionable visualizations within Power BI. Key features include predictive analytics, anomaly detection, and automated scheduling for ongoing insight delivery.

How we built it

The architecture is modular with distinct agents handling natural language processing, data retrieval, personalization, and visualization. The NLP agent utilizes advanced models to comprehend user queries, while the data agent draws from diverse enterprise sources. The visualization agent dynamically generates dashboards and charts. A personalization engine adapts reports via user feedback, delivering sub-1m-second response times for smooth interactivity. Seamless Power BI integration ensures executives can use AI-enhanced familiar tools.

Challenges

• Complex integration of fragmented enterprise data with data consistency and quality maintenance.
  
• Iterative NLP training to manage ambiguous and domain-specific queries with advanced context handling.
  
• Low-latency real-time predictive analytics requiring efficient multi-agent orchestration.
  
• Ensuring strict, role-based security for sensitive data.
  
• Designing an intuitive interface for non-technical executives to foster adoption.

Accomplishments

• Scalable multi-agent design enabling automatic personalized BI reporting without manual effort.
  
• Smooth Power BI integration supporting customized visualizations.
  
• Natural language chat interface accuracy exceeding 90% in testing for complex queries.
  
• 80% reduction in manual report creation time, boosting executive productivity.
  
• Continuous learning feedback system, adapting content and suggestions from real user input.

What we learned

Personalization and role-based reporting are crucial for effective executive BI tools. Multi-agent AI combined with natural language interfaces significantly simplifies complex data access. Strong data governance and real-time performance are needed for trust and usability. Ongoing user feedback is key to evolving AI-driven BI experiences aligned with business priorities.

What’s next

Plans include expanding executive roles and business domains, advancing predictive analytics and anomaly detection, and facilitating dynamic collaboration among executive teams. Mobile access with offline capabilities will be added. Implementation of a Service Level Management (SLM) framework will allow on-premises deployment for strict enterprise data compliance and ensure data sovereignty. The final product will move from cloud-based LLMs to on-premises AI to meet enterprise data policies.

Additional Feature: Data Ownership Chat

The Agentic BI will enable executives to chat with their own data by truly owning it themselves. This empowers users to maintain full control and ownership of their enterprise data, ensuring privacy and compliance, while leveraging the AI agent’s capabilities for personalized insights. This feature strengthens trust and aligns with enterprises’ data sovereignty requirements.

Built With

• fastapi
• kimi
• llm
• nextjs
• python
• redis
• tidb-cloud
• websockets