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Talk to Data - Secure ERP Analytics

Case Study Topics

Client Overview

The client is an ERP platform provider whose customers depended on reporting teams to retrieve operational information from ERP databases.

Business users needed a faster way to obtain live answers without writing SQL or exposing underlying business records to the AI model.

Business Challenge

The existing reporting workflow created several limitations:

  • Every business question became a ticket for the reporting team
  • Users waited for analysts to prepare reports
  • Decisions were often based on scheduled exports instead of live ERP data
  • Traditional analytics approaches could require copies of sensitive data

The client needed secure self-service analytics in natural language.

Project Overview

A natural-language ERP analytics platform was developed to convert business questions into executable SQL.

The AI model reads the database schema rather than the underlying records, allowing users to retrieve live results while keeping business data outside the model.

Solution Delivered

Natural-Language Query Agent

  • Turns business questions into executable SQL statements

Schema-Only Integration

  • The model reads database structure, not underlying records

Secure MCP Tool Layer

  • Queries run within boundaries defined by the database owner

Query Validation

  • Generated SQL is checked before reaching the database

Self-Service Analytics UI

  • Business users retrieve answers without writing SQL

Multi-Tenant Rollout

  • One integration can support multiple customers of the ERP platform

Technology Stack

  • MCP
  • Large Language Models
  • SQL Generation
  • ERP Integration
  • Role-Based Access

Engagement Model

Four phases covering reporting-workflow discovery, schema integration, query-agent development and validation, and multi-tenant rollout.

Delivered by a partner network company of SilwaTech.

Security & Compliance Focus

  • The AI model sees database schema rather than underlying records
  • Database owners define roles and query limits
  • Generated SQL is validated before execution
  • Supports on-premise or air-gapped deployment where policy requires it

Value Delivered

  • 50% reduction in manual reporting effort
  • Decisions delivered roughly 35% faster
  • Risk flagged up to 25% earlier
  • 100+ users supported on one shared query engine
  • Live answers from ERP data without moving underlying records into the model

Selected Enterprise & Public Sector Experience

Our project experience spans government authorities, regulated enterprises, and major organisations across multiple industries.

References shown may include direct SilwaTech engagements and work delivered through our contracted partner network. Inclusion does not imply a direct contractual relationship with, or endorsement of, SilwaTech.

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