Money Doesn’t Tolerate Hallucinations: Why We Bet on SQL Server for AI Finance
By DESA Solutions Engineering Team
If there is one thing I’ve learned in over 14 years of developing data architectures, it’s that the financial world has zero sense of humor about precision.
Right now, the tech industry is in a frenzy over Generative AI. Developers are rushing to dump everything into vector databases and unstructured data lakes, chasing the dream of a completely flexible, AI-driven future. For a creative writing app, that works perfectly.
But when you are building tools for mutual fund analysis or tax planning—like we are at DESA Solutions—"mostly correct" isn't a feature; it's a bug.
The Problem with Probabilities
Large Language Models (LLMs) deal in probabilities. Financial systems deal in absolutes. If an AI "hallucinates" a creative ending to a story, it’s art. If an AI hallucinates an extra zero on a portfolio balance, it’s a lawsuit.
🧪 Interactive Lab: The Stability Test
See the difference between "Generative Prediction" and "Database Rigidness" below.
🤖 Pure AI (Probabilistic)
Portfolio Balance:
$1,045,230.00
Status: Dreaming...🛢️ SQL Server (ACID)
Portfolio Balance:
$1,045,230.00
Status: Locked & VerifiedThe Hybrid Approach: Calculator vs. Analyst
To solve this, we adopted a strict architectural rule: Never ask the AI to do the math.
We treat our system like a high-end financial firm. You have the Accountant (SQL Server) who keeps the ledgers perfect, and the Advisor (AI) who explains the context. In our stack, including our mutual fund tool Osherverst, the roles are clear:
- The "Accountant" (SQL Server): The Source of Truth. It handles transactional data and computes exact XIRR down to the last decimal.
- The "Analyst" (AI Layer): It receives the structured data and explains why the portfolio is down or suggests strategies.
Why Experience Beats Raw Compute
There is a trend to simply "throw hardware at the problem." But after 14 years in SQL Server development, I know that bad architecture costs money forever.
At DESA Solutions, we obsess over Schema Design and Query Optimization.
🏎️ Speed Test: Set-Based vs. Iterative
Drag the slider to increase data volume. Notice how the App Layer (Python/JS) slows down, while SQL Server stays instant.
The Best of Both Worlds
The future isn't about choosing between stability and intelligence. It’s about fusing them.
Innovate with AI. Validate with SQL.
If you need a development partner who understands that "cool code" doesn't matter if the numbers don't add up, let's talk.