ELETECH Solutions
All work

AI Accounts Analysis

Voice/text to SQL querying without exposing raw data

AI Accounts Analysis Dashboard
Service
Custom AI Agents
Sector
Healthcare & Revenue Cycle
Built with
  • Python
  • On-Premise LLM (30B)
  • SQL Server
  • Speech-to-Text

The constraint

Non-technical staff couldn't query account data without writing SQL or waiting on the data team for custom reports.

What we built

Built an AI-powered interface using an on-premise offline LLM with 30 billion parameters and SQL DB schema that converts voice/text prompts into SQL queries, returning tailored results from the database within seconds.

Outcomes

  1. 01Business users get instant self-service access using plain English
  2. 02No SQL knowledge required
  3. 03No risk of exposing PII-sensitive data outside the company network
Parameter on-premise model
30B
Time to answer, from waiting on the data team
Seconds

Next project

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Self-learning ML ensemble that predicts which accounts will pay

Read the write-up
PayPulse: Self-Learning Payment Predictions
Start here

Tell us what the process costs you today.

That number decides whether any of this is worth building. Bring it to the call and we can get to a straight answer inside half an hour.

30 min · no charge

Pick a time and we’ll talk it through.

  • 30 min, and no charge for it
  • Bring the process and what it costs you today
  • A straight answer — including “don’t build this”
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