Lattice AI screenshot

What is Lattice AI?

Lattice is a people management platform that uses AI to help organisations manage performance, engage employees, and make data-driven decisions about their workforce. The tool combines performance tracking, feedback collection, and HR analytics in one place. It's designed for mid-to-large companies that want to move away from traditional annual reviews and build a more continuous feedback culture. Lattice helps managers and HR teams set goals, gather regular feedback from colleagues, track progress, and identify high performers or people at risk of leaving. The platform aims to make people decisions more objective by surfacing patterns in performance data and engagement metrics.

Key Features

Goal setting and tracking

Create and monitor OKRs and individual goals with progress updates throughout the year

Continuous feedback

Collect 360-degree feedback, peer reviews, and manager input on an ongoing basis rather than once yearly

Performance reviews

Build custom review cycles that combine feedback, goals, and calibration discussions

Engagement surveys

Measure employee satisfaction and identify retention risks through pulse surveys and analytics

AI insights

Get recommendations on performance patterns, flight risk identification, and suggested actions

Integration with HR systems

Connect with existing payroll, HRIS, and other HR tools via API or pre-built connectors

Pros & Cons

Advantages

  • Free tier makes it accessible for smaller teams or those testing the platform before committing to paid plans
  • Reduces bias in performance decisions by encouraging regular feedback and structured evaluation processes
  • Provides visibility into employee engagement and retention risks before people hand in notice
  • Replaces multiple standalone tools (survey software, goal tracking, review forms) with a single platform

Limitations

  • Implementation and customisation requires time and HR involvement to set up workflows that match your company culture
  • Success depends on manager adoption and consistent use; poorly maintained data reduces the usefulness of AI insights
  • Pricing scales significantly as you add users, which can become expensive for large organisations

Use Cases

Companies transitioning from annual reviews to continuous feedback and want structure around the change

HR teams managing multiple performance cycles and needing visibility into calibration decisions

Organisations trying to predict and prevent turnover by identifying disengaged employees early

Growing companies that need to formalise goal-setting and align teams around shared objectives

Distributed or hybrid teams that lack natural in-person feedback opportunities