FAQs: The Right Application of AI
What is the "right" way to apply AI in business?
Focus on augmenting human capabilities, automating repetitive tasks, and solving specific, measurable problems rather than replacing core business logic with unpredictable models. The right application is constrained, verifiable, and directly tied to ROI.
When should we use Agentic AI vs. standard LLMs?
Use standard LLMs for drafting, summarizing, and brainstorming. Use Agentic AI (like SAGE) when you need deterministic, schema-valid outputs, multi-step reasoning, and strict adherence to business rules.
How do we ensure AI outputs are reliable?
Implement a robust validation loop. AI should generate drafts that are programmatically validated against strict schemas and invariants. If validation fails, the AI reflects and revises until correct.
Is AI ready for proprietary, mission-critical IP?
Yes, but only if constrained by domain-specific rules. Generic models hallucinate; constrained, agentic workflows produce reliable, proprietary artifacts.