Predictive Engines: Integrating LLMs into Business Logic

The highest-value uses of large language models aren't conversations; they're steps inside existing workflows: classifying tickets, drafting responses, extracting data from documents, and flagging risks.

A general model knows nothing about your business. Retrieval over your own data, structured prompts, and strict output schemas turn it into a specialist.

Deterministic business rules should wrap model output, validating it before it changes anything important.

Confidence thresholds route uncertain cases to people, and every decision is logged for review. Automation handles the volume; people keep the judgment.