Natural Language Interface to Enterprise Data (Talk to Your Data)

Problem Statement

Business users depend on analysts and data teams to extract insights from databases. Answering simple questions often requires writing complex SQL or NoSQL queries, accessing servers, and manually converting results into presentations. This creates delays, bottlenecks, and unnecessary operational overhead.

AI Implementation Approach

Deploy an AI-powered natural language interface that securely connects to enterprise SQL and NoSQL databases. Users ask questions in plain English, and the AI translates them into optimized queries, executes them against approved datasets, and returns results as clear, natural-language answers with optional tables and summaries.

Input

Industry

• manufacturing

• retail

• BFSI

• logistics

Output

Natural Language Answers

• Clear, concise responses written for business users

• Example: “Product X had the highest sales volume with 124,000 units sold last quarter.”

Structured Results

• SQL databases such as PostgreSQL, MySQL, SQL Server

• NoSQL databases such as MongoDB, DynamoDB

• Cloud-hosted or on-prem enterprise data stores

Query Transparency and Control

• Auto-generated SQL or NoSQL queries visible for review

• Read-only execution on approved schemas

• Query logs for audit and governance

• SaaS

Data Sources

Optional metadata

• “What is the highest selling product by volume?”

• “Show month-wise revenue for the last quarter.”

• “Which region has the highest return rate?”

• Tabular breakdowns supporting the answer

• Simple charts suitable for direct sharing or export

Key Parameters and Impact

• Faster decision-making through self-service insights

• Improved data accessibility for non-technical users

• Reduced turnaround time from days to seconds

• Lower operational overhead for data teams

• Elimination of analyst dependency for routine questions

Security and Governance

Integration and Deployment

• Role-based access to datasets and fields

• Read-only and policy-controlled query execution

• Full audit logs of user questions and queries

• Alignment with enterprise data governance standards

• Connects to existing databases without data movement

• Deployable within enterprise-controlled environments

• healthcare

Frequently asked questions

1. What is a natural language interface to enterprise data?

A natural language interface to enterprise data allows users to ask business questions in plain English and receive instant answers from SQL or NoSQL databases without writing queries.

2. What problem does this solution solve?

It removes dependency on analysts and complex SQL by enabling business users to directly access insights, reducing delays and operational bottlenecks.

3. How does the AI convert questions into data queries?

The AI translates natural-language questions into optimized SQL or NoSQL queries, executes them on approved datasets, and converts results into readable answers.

4. What types of databases are supported?

The platform supports SQL databases such as PostgreSQL, MySQL, and SQL Server, as well as NoSQL databases like MongoDB and DynamoDB.

5. Can non-technical users use this system?

Yes. The interface is designed for non-technical users, allowing them to get answers without database access or query knowledge.

6. What type of answers does the system return?

The system provides clear natural-language answers, supported by tables and simple charts suitable for sharing or export.

7. Are generated queries visible to users?

Yes. Auto-generated SQL or NoSQL queries are visible for transparency, review, and governance purposes.

8. Does the system modify enterprise data?

No. All queries run in read-only mode on approved schemas, ensuring data integrity and safety.

9. How does this improve decision-making speed?

By delivering answers in seconds instead of days, the platform enables faster, self-service decision-making across teams.

10. Is the solution secure and compliant?

Yes. It includes role-based access controls, policy-driven query execution, and full audit logs aligned with enterprise data governance standards.

11. Can it connect to existing databases without data movement?

Yes. The platform connects directly to existing cloud or on-prem databases without copying or moving data.

12. Does it reduce workload for data teams?

Yes. Routine questions are handled by the AI, allowing data teams to focus on complex analysis and strategic initiatives.

13. Are user queries logged for audit purposes?

Yes. All user questions, generated queries, and execution logs are stored for auditing and compliance.

14. Which industries benefit most from this solution?

Manufacturing, retail, BFSI, healthcare, logistics, SaaS, and any data-driven enterprise benefit from self-service data access.

15. Where can this solution be deployed?

The system can be deployed within enterprise-controlled cloud or on-prem environments.

Integrate those solutions in your company

Contact below and let us design and integrate solutions tailored to your business needs