Analytics, Reinvented for the AI Era.
Ailytics is Bandhan’s AI-led analytics framework on Azure and generative AI, uniting modern data architecture, AI-augmented analytics, and conversational data products to deliver enterprise insight at the speed your business actually decides and your customers actually move.
Built for Chief Data and Analytics Officers, Heads of BI and Analytics, Data Platform Leaders, and Digital Transformation Sponsors responsible for analytics ROI and modernization.
The Analytics Gap We Solve
Modernizing Analytics for the AI Era
The Ailytics Architecture
Ailytics is built on a modern Azure analytics architecture combining governed data, AI-augmented analytics, and conversational interfaces.
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Step 1
Data Foundation
Modern Azure data architecture using Microsoft Fabric, Lakehouse, and OneLake patterns with built-in governance.
Step 2
Semantic and Metric Layer
Governed semantic model defining business metrics, dimensions, and definitions consistently across the enterprise.
Step 3
AI-Augmented Analytics
Forecasting, anomaly detection, segmentation, and root-cause analytics applied automatically across data products.
Step 4
Conversational Interface
Generative AI-powered natural language query layer grounded in the governed semantic model.
Step 5
Delivery and Adoption
Power BI, embedded analytics, and conversational endpoints serve insights into the tools users already work in.
What Powers the Intelligence Layer
Modern Azure Data Foundation
AI-Augmented Analytics
Conversational Data Products
Governed Semantic Layer
Power BI and Fabric Integration
Industry Accelerators
Faster Answers, Consistent Metrics
Faster insight delivery
AI-augmented analytics and conversational interfaces compress question-to-answer timelines from days to seconds
Reduced data engineering bottleneck
Business users get answers from governed data without queuing for new reports
Consistent metrics across the enterprise
Governed semantic layer ends three-teams, three-numbers debates
Higher analytics adoption
Insights delivered in the tools and channels users already work in
Lower analytics total cost of ownership
Modern Azure architecture and consolidated tooling reduce platform sprawl
Foundation for AI-native operations
A governed, AI-augmented analytics layer is the substrate for downstream AI applications