Enabled Self-Service ERP Analytics and Reduced Manual Reporting Effort by 50% Without Compromising Security
A secure, role-aware “Talk to Data” AI layer embedded inside the ERP enabled business users to reduce manual reporting effort by 45–55%, accelerate decision-making by 30–40%, and unlock actionable insights from ERP data without violating governance or access controls, based on enterprise analytics workflow benchmarks.
Talk to Data Secure Intelligent Analytics for ERP Systems
Technologies Used
Infrastructure
Manual Report Requests → Self-Service NLQ Analytics
45–55% reduction in manual reporting effort
Dependency on Technical Teams → Business-User-Driven Insights
30–40% faster access to operational insights
Delayed Risk Visibility → Real-Time, AI-Generated Analysis
20–30% earlier identification of operational risks
USP
- Delivers AI Insights that provide actionable intelligence such as supplier cost exposure and inventory aging
- Enables non-technical users to access deep analytics through a conversational interface
- Strictly adheres to organizational governance, security policies, and access controls
- Designed as a multi-tenant, role-based AI engine for enterprise-grade environments
Problem Statement
Business Problem
The ERP system handled core transactional workflows but lacked intelligent, user-friendly analytics:
- Business users depended on analysts or IT for reports
- Extracting insights required complex queries or static dashboards
- No safe way for non-technical users to query ERP data conversationally
- High risk of data leakage without strict permission enforcement
- Leadership lacked fast visibility into supplier risk, inventory aging, and cost exposure
As a result, ERP data remained underutilized, slowing decisions and reducing ROI on enterprise systems.
Solution
NeuraMonks Solution
NeuraMonks designed Talk to Data, a secure, multi-tenant, role-based AI analytics layer embedded directly into the ERP environment.
Key capabilities delivered:
- Natural language querying over structured ERP datasets
- Role-Based Access Control (RBAC) tightly coupled with ERP permissions
- User-level authorization enforcing strict data visibility rules
-Multi-tenant isolation to prevent cross-entity data leakage
- AI-generated insights such as supplier cost exposure and inventory aging
- Exact-match structured querying with validation to prevent hallucinations
The system transforms ERP data into an intelligent, conversational analytics experience—without weakening security.
Challenges
Challenges Solved
- Strict security and compliance enforcement across all AI interactions
- Complex permission hierarchies mapped directly to AI query execution
- Multi-tenant isolation in shared enterprise environments
- Data accuracy guarantees for financial and operational metrics
- Concurrent usage scalability for 100+ active users
Why Neuramonks
Why Choose us
- Outcome-driven AI delivery focused on enterprise usability
- Pre-GPT era AI expertise in secure decision systems
- Production-grade AI architectures for regulated environments
- On-prem / air-gapped deployment capability for sensitive ERP data
- Cost-efficient AI inference aligned with enterprise scale
- Deep understanding of ERP security, governance, and data models
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