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AI Research Lab

Bringing AI to Legacy ERP Solutions

At GBC Research, we focus on unlocking the value hidden in traditional ERP databases. By layering semantic search and autonomous agents over legacy setups, we transform databases into active intelligence.

GBC AI ERP Research

Why Retrofit Legacy ERPs with AI?

Replacing a legacy ERP system completely is high-risk, expensive, and takes months. Our research focuses on retrofitting: injecting AI capabilities directly onto existing database schemas. This allows enterprises to keep their trusted systems while getting modern natural language querying and autonomous automation.

Research Directions

Core Research Areas

Explore how we translate advanced ML concepts into practical upgrades for corporate software.

Vector Embeddings for Legacy Schema

Developing specialized embedding models that map relational ERP tables (SQL) to dense vector spaces. This enables natural language search across complex tables without writing SQL queries.

Autonomous Agent Actions

Researching secure execution loops where AI agents can autonomously call internal ERP APIs (such as purchase orders or logistics routing) while adhering to strict security policies.

RAG Over Enterprise Knowledge

Creating advanced Retrieval-Augmented Generation (RAG) pipelines that ingest unstructured corporate files (PDF invoices, SOP manuals, emails) to answer complex operational questions.

Predictive Audits & Anomalies

Training neural network classifiers to monitor incoming database entries in real time, instantly flagging billing discrepancies or potential inventory leakage.

Implementation

The Upgrade Methodology

How we bring advanced search and cognitive actions onto legacy systems.

1

Secure API Mapping

GBC builds custom wrapper APIs around your legacy ERP database files, allowing modern AI pipelines to access database records safely without modifying core configurations.

2

Semantic Embedding Layer

We process your databases and documentation through vector embedding models, storing representations in secure enterprise vector indices.

3

Agent Deployment

Intelligent chatbot assistants and automated script triggers are deployed, allowing users to query data and execute tasks via natural language.

Data Trust

Securing Enterprise Data & Non-Disclosure

ERP systems house critical financial and client data. Our research respects database boundaries: all embeddings are hosted locally on secure cloud infrastructure, LLM queries are sanitized, and system scripts run through audit logging tools.

Upgrade Your Legacy ERP With AI

Want to see how vector search and cognitive agents can integrate with your current SQL database structure? Let's connect.