Lattice, a prominent human resources data platform, announced the rollout of an advanced Workforce Intelligence suite during its keynote address to more than 2,000 corporate people leaders assembled in San Francisco. The system is engineered to directly link an enterprise’s organizational strategy with quantifiable business outcomes. By introducing solutions that monitor employee performance alongside artificial intelligence tools, the software helps companies identify quality signals, optimize coaching workflows, and make informed personnel placement choices.
The introduction of the suite addresses a massive global corporate productivity crisis, which recent 2026 data from Gallup estimates is a $10 trillion operational problem. While public conversation frequently focuses on how automation displaces corporate roles, the operational issue stems from treating technology as an isolated solution. Without transparent performance metrics, leadership groups struggle to identify if AI tools are driving high-value outputs or merely amplifying general administrative volume, leading to misaligned resources and slower corporate growth.
“People aren’t tokens,” she said in her keynote address to more than 2,000 HR and people leaders gathered in San Francisco. “The companies that will win aren’t the ones cutting people the fastest. They’re the ones figuring out how people and AI succeed together.”
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Integrating Historical Performance Data into Active Workflows
The platform introduces Lattice MCP, making it the first performance management architecture to natively implement the open Model Context Protocol (MCP) standard. This configuration changes how automated applications interface with internal corporate personnel records.
By linking historical performance indicators such as annual reviews, localized 1:1 records, peer feedback, structured goals, and real-time project updates Lattice MCP feeds continuous operational context directly into day-to-day productivity applications including Claude, ChatGPT, Glean, and Slack. This removes the need for department heads to manually piece together historical employee contexts or hunt through fragmented corporate databases before conducting critical career conversations or evaluating team contributions.
“Performance reviews have always been one of the most important and most dreaded processes in any organization,” said Sophie Hurcombe, Chief People and Operations Officer at Lattice. “Lattice MCP changes the game. When managers have real context at their fingertips, reviews stop feeling like a compliance exercise and start feeling like the meaningful conversations they were always meant to be.”
Measuring Technological Quality Rather Than Processing Volume
Concurrently, Lattice unveiled AI Leverage Insights, a data analytics module built to answer a critical question increasingly raised by Chief Financial Officers and corporate boards: whether ongoing investments in generative technologies are yielding measurable business value.
While typical software tracking tools measure productivity through basic token counts and prompt volumes, AI Leverage Insights introduces a qualitative evaluation framework. The software blends raw usage data with active manager assessments, employee performance records, and target output signals to provide a complete picture of internal technology adoption. This allows human resources executives to separate high-performing employees who are successfully leveraging automation to accelerate complex projects from individuals generating volume without strategic value, providing companies with the visibility required to replicate effective workflows across the broader enterprise.
“Token counts are a quantity signal, not a quality signal,” said Franklin. “For the first time, people leaders can answer not just ‘how much is AI being used?’ but ‘are we getting value, is it being used wisely and solving business problems?'”
The development positions Lattice as an early mover in linking worker performance variables directly to modern automation metrics. The data capabilities are live and available for early access integration across the company’s global enterprise client base.
