Explainable AI
AI systems designed to provide human-understandable justifications for their outputs, enabling trust, debugging, and regulatory compliance.
A black-box AI that says "reject this loan application" is useless in a regulated industry. Explainable AI (XAI) in BasaltHQ means every decision comes with a structured explanation. When BASALTCRM's lead scoring agent ranks a prospect as "High Priority," it provides a breakdown: "This score is driven by 3 factors: (1) the prospect's company raised Series B funding 2 weeks ago (40% weight), (2) they visited the pricing page 7 times this month (35% weight), (3) their tech stack includes 3 tools we integrate with (25% weight)." This transparency is not just good practice—it is required by the EU AI Act for high-risk AI systems.
Related Concepts
See also:
LLM Reasoning Chain
A structured sequence of logical steps an LLM follows to arrive at a verifiable conclusion, analogous to showing your work in mathematics.
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Prompt Engineering
The discipline of designing, testing, and optimizing the textual instructions given to an LLM to maximize the quality, accuracy, and consistency of its output.
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Audit Trail
An immutable, chronological record of every action, decision, and data access event within an enterprise system.