Before AI can make accurate matches, your data needs structure and consistency. Building a strong foundation means defining what success looks like for every position and ensuring all job, candidate, and performance data speak the same language. At Eastridge, this foundation empowers AI to recommend talent with confidence, not just faster, but smarter. Start with better job data Use a market intelligence platform (like Lightcast) to identify in-demand and adjacent skills. Eastridge enriches every job description before posting, ensuring AI tools match accurate skills and competencies. Centralize everything in one system Capture all job, candidate, and hiring data within your ATS (like Avionté). A single source of truth allows Eastridge to track time-to-fill and quality of hire across every business unit. Create reusable skill templates Standardize your definitions of success. Eastridge builds AI-ready templates for recurring roles within Avionté, reducing setup time and improving consistency. Lay the foundation for clean data Eliminate free-text fields where possible and enforce structured entries. Eastridge uses standardized dropdowns for titles and certifications, ensuring the AI can interpret data accurately.