This article is a product release announcement from Lattice, a performance management software vendor, outlining its Spring/Summer 2026 platform updates. The central argument is that AI, embedded into core performance workflows, can reduce administrative burden for HR teams and managers while improving review quality, coaching consistency, and compensation cycle management. Key features announced include Evidence-based AI Reviews, which generate performance review drafts grounded in aggregated talent data such as 1:1 notes, feedback, and past reviews; an AI agent capable of joining and summarizing one-on-one meetings; and an Employee Health tool designed to surface early turnover risk signals. The release also includes operational enhancements to performance cycle configuration, compensation cycle flexibility, HRIS integrations with Workday and Rippling, and UI/UX updates. The article concludes that these developments collectively position Lattice as a 'People + AI platform' where intelligence is embedded into daily performance moments. All claims originate from the vendor and are unverified by independent research or third-party evaluation. Key insights: Lattice positions its AI review feature as augmentative rather than autonomous — managers retain full control over ratings and final submission, and the AI agent cannot submit reviews independently. The release reflects a broader vendor trend of embedding AI directly into recurring HR workflows such as 1:1s, review cycles, and compensation planning rather than offering AI as a standalone module. Employee Health, described as a turnover risk identification tool available at no additional cost to existing customers, signals competitive pressure to bundle predictive analytics into core PMS offerings. Practical takeaways: Organizations evaluating AI-assisted performance reviews may note Lattice's evidence-grounding approach — drafts sourced from 1:1s, feedback, and prior reviews — as one design pattern for reducing blank-page bias in manager writing tasks. The announcement of bidirectional Workday integration and a new Rippling integration reflects ongoing market demand for tighter HRIS-PMS data synchronization, particularly for calibration scores and demographic data alignment.