Lattice AI Agents
Automate performance management, employee engagement, and people analytics with Lattice AI agents.
Trusted by leading companies worldwide
Popular Lattice Use Cases
Performance Management
- Review cycle automation
- Feedback collection workflows
- Calibration session prep
Engagement Analytics
- Survey distribution automation
- Sentiment trend analysis
- Action plan tracking
Goal Tracking
- OKR progress monitoring
- Goal alignment visualization
- Completion rate reporting
What are Lattice AI Agents?
Lattice AI agents are autonomous systems that integrate with Lattice's people management platform to automate performance reviews, engagement surveys, goal tracking, and people analytics. These agents handle tasks like scheduling review cycles, analyzing engagement data, tracking OKR progress, and generating people insights.
By connecting with Lattice's HR data and workflow engine, these agents can streamline performance calibrations, identify engagement trends, monitor goal completion rates, and deliver actionable people analytics—helping HR teams build high-performing organizations.
Benefits of Lattice AI Agents
Manual performance review scheduling
Low survey response rates
Disconnected goal tracking
Subjective people decisions
Automated review cycles and reminders
Higher engagement participation
Real-time OKR dashboards
Data-driven people insights
Industry-Specific Lattice Applications
Technology
Scale performance management for engineering teams, automate 360 reviews, and track engineering OKRs across departments.
Enterprise HR
Manage performance cycles across thousands of employees, automate compliance reporting, and track organization-wide engagement.
Startups
Set up lightweight performance frameworks, automate feedback loops, and build data-driven culture from day one.
Considerations when using Lattice AI Agents
Data Privacy
Performance and engagement data is highly sensitive. Ensure AI agents comply with HR data privacy policies and access controls.
Review Timing
Automated review reminders should respect company review cycles. Don't overwhelm employees with off-cycle requests.
Bias Awareness
Review AI-generated performance insights for potential bias. Use as decision support, not decision replacement.
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