Probabilistic vs Deterministic Engineering
The current technology market is saturated with exaggerated AI claims. Every vendor promises that generative AI will run entire enterprise operations autonomously.
In production engineering, however, reliability is paramount. If a financial transaction must trigger an invoice, deduct stock, and notify the customer, you do not want an LLM guessing the next step. You need a deterministic state machine that executes with 100% mathematical predictability.
Where AI Genuinely Creates Leverage
Generative AI and Large Language Models excel at unstructured inputs: translating dialect-heavy Arabic customer inquiries, summarizing 200-page engineering tender specifications, or evaluating intent from open-ended customer emails.
Once the AI parses the unstructured input into structured JSON data, deterministic automation engines must take over to execute database updates, financial accounting entries, and field dispatches.
The most resilient enterprise systems combine both: AI for natural human interface and comprehension, and rock-solid deterministic code for core transactional execution.