CASE STUDIES
AI Database Assistant
Query business data in plain language — no SQL, no dashboards, just a question and an answer, with permission-aware access built in.
An AI Database Assistant lets people interact with business databases using natural language instead of SQL or complex dashboards — turning "can someone pull this data for me" into a question anyone on the team can just ask.
Key use cases
- Natural-language database search
- AI-generated SQL queries
- Business data analysis
- Customer/profile search
- Sales analysis
- Inventory lookup
- Financial reporting
- Customer segmentation
- Data summarization
- Database anomaly detection
- Automated reports
- Cross-table analysis
- Data-quality checking
- Data exploration for non-technical users
Examples
"Show customers from Mumbai who purchased more than ₹50,000 this year." · "How many active customers did we acquire last month?" · "Which products have declining sales?" · "Find matrimonial profiles matching these preferences." · "Show overdue invoices above ₹1 lakh."
Industries
- Retail — sales, customers, inventory
- Matrimonial — profile search and matching
- Real Estate — property and lead analysis
- Healthcare — patient/appointment data analysis
- Finance — transactions and reporting
- Manufacturing — production and inventory
- Education — student and admission analytics
- Professional Services — client/project analysis
Product concept
The critical enterprise feature is permission-aware access: AI should only query data the user is authorized to access.
See our AI Business Automation case study for how the Database Assistant fits alongside the other five AI products into one platform.