Multi-Agent AI Platform for Enterprise Analytics

Key Challenges

The client needed to simplify how users consume complex digital experience analytics — enabling interaction with large volumes of performance data through conversational AI and personalized summaries, instead of manually interpreting dashboards and reports.

Key Results

Aloha delivered a multi-agent analytics platform that turns dashboards into a conversational experience — surfacing persona-specific summaries, real-time insights, and grounded recommendations that dramatically cut the time to business decisions.

Our Solution

Designed a multi-agent architecture coordinated by a central orchestration layer to manage AI workflows.
Built AI-powered dashboard summarization generating persona-specific insights for executives, product, and technical users.
Enabled conversational analytics, answering natural language questions from live analytics data.
Integrated enterprise analytics APIs for real-time metrics, user behavior, and operational insights.
Used Retrieval-Augmented Generation (RAG) to keep AI responses grounded in enterprise data.
Added intelligent caching and evaluation frameworks to improve speed and measure AI quality.