Most companies make a critical mistake when trying to use Artificial Intelligence:they copy and paste their sales or finance Excel sheets directly into ChatGPT.
This is not only inefficient, it's asecurity breach.
If you want an AI to answer questions about your stock, your clients, or your historical billing, you don't need to upload your data to the public cloud. You need aRAG (Retrieval-Augmented Generation)architecture connected to your local or private SQL database.
This is how we develop this solution for secure corporate environments.
1. The Problem: 'Hallucinations' and Data Leaks
Generative AIs (LLMs) don't 'know' what's happening in your company today. If you ask them about the current stock, they will invent a number.
- The common mistake:Trying to re-train (Fine-Tune) a model. It's expensive, slow, and requires massive hardware.
- The technical solution:RAG. Inject the real context (your SQL) at the moment of the query, without the data permanently leaving your control.
2. The Secure Architecture (Backend Middleware)
We don't connect the AI directly to your database (that would be suicidal). We develop aMiddleware(typically in Python or Node.js) that acts as a guardian.
The technical flow we implement is:
- Frontend (Your Web/Intranet):The user asks"How much did we sell in Lima last month?".
- Sanitization:The middleware receives the question and removes sensitive data (PII).
- Vectorized SQL Query:The system searches only for relevant data fragments on your local server.
- Context Injection:We send to the API (OpenAI/DeepSeek/Local Llama) only the necessary data with the instruction:"Use this data to answer".
- Response:The AI responds with mathematical precision, not creatively.
3. Why do you need custom development?
'All-in-one' WordPress or Shopify plugins do not have deep access to your legacy databases (SQL Server, Oracle, old MySQL).
Custom development allows for:
- Granular Permissions:The seller only sees their sales, and the manager sees everything.
- Log Auditing:Knowing exactly who asked what to the AI.
- Local Models:If privacy is paramount, we can deploy Open Source models (like Llama 3) on your own servers, never going out to the internet.
Conclusion
AI is not magic, it'sdata engineering. If your company needs to query internal information conversationally, don't expose your privacy.
Do you need to integrate AI into your current ERP or CRM?We develop the necessary backend layer to connect your data with intelligence, maintaining the security of your infrastructure. 👉[Schedule a technical review of your database here]