This article explores the emerging role of explainable artificial intelligence (XAI) in automating security questionnaire responses. By surfacing the reasoning behind AI‑generated answers, XAI bridges the trust gap between compliance teams, auditors, and customers, while still delivering speed, accuracy, and continuous learning.

This article explains how AI‑driven predictive risk scoring can forecast the difficulty of upcoming security questionnaires, automatically prioritize the most critical ones, and generate tailored evidence. By integrating large language models, historical answer data, and real‑time vendor risk signals, teams using Procurize can reduce turnaround time by up to 60 % while improving audit accuracy and stakeholder confidence.