AI That Proves Itself: Lattice Links Usage to Real Performance Outcomes

Most companies think they're tracking AI adoption. They're not. They're tracking activity — logins, tokens, prompt counts — and calling it a strategy. At Lattiverse 2026, Lattice CEO Sarah Franklin drew a line between quantity signals and quality signals, and announced a product designed to cross it: AI Leverage Insights. AI Leverage Insights connects AI tool usage data directly to employee performance outcomes — making Lattice the first people platform to actually link how someone uses AI to whether it's making them better at their job. That's a fundamentally different question than 'is the seat active?' We also dig into Lattice MCP, the first performance management platform to implement the Model Context Protocol standard — letting AI assistants like Claude, ChatGPT, and Slack pull real employee data (reviews, 1:1 notes, goals, feedback) directly into conversations. No more generic advice from AI tools that know nothing about your team. Finally, we cover three new features — an AI coaching agent inside 1:1 meetings, evidence-based review drafts that fight recency bias, and voice modality for managers who can't type on a warehouse floor. Plus: if Lattice handles the post-hire side of AI fluency measurement, what handles the pre-hire side? We talk about how OVI's audio-chat screening agents are helping teams assess AI collaboration skills before day one.