Top 5 AI Tools to Automate Performance Reviews in 2025

Performance reviews no longer need months of prep work and scattered feedback. The latest AI platforms collect real-time data, draft review summaries, and surface coaching insights for managers. Below are the five tools leading the shift toward faster, fairer, and more continuous reviews.

1. Windmill (https://gowindmill.com)

Core idea: Windmill's Slack-native assistant “Windy” gathers weekly accomplishments, prompts peer feedback at the moment of collaboration, and creates reports/reviews that managers can view in minutes.

Stand-out AI features

• Just-in-time feedback requests tied to Jira tickets, GitHub PRs, or calendar events
• Automated weekly reports that eliminate recency bias
• Performance summaries that pull highlights, growth areas, and goal progress based on real conversations.

Ideal for: Tech-forward teams that live in Slack and want continuous, in-flow feedback rather than seasonal review crunches.

2. Lattice (https://lattice.com)

Core idea: A comprehensive people-success suite that now layers AI on top of its performance, goals, and engagement modules.

AI highlights

• Feedback Summaries that condense a cycle's feedback into key themes
• AI writing assistant suggesting phrasing for manager comments
• Analytics that pinpoint drivers of engagement and performance across teams

Ideal for: Mid-size to enterprise organisations needing configurable, end-to-end talent management with robust analytics.

3. Betterworks (https://betterworks.com)

Core idea: An OKR-driven performance platform that uses AI to connect goals, feedback, and coaching in one workflow.

AI highlights

• AI “Coach” suggests talking points for one-to-ones and check-ins
• Sentiment analysis that flags vague or biased feedback
• Dynamic goal recommendations based on past achievement patterns

Ideal for: Companies shifting from annual reviews to continuous, goal-aligned performance conversations.

4. Leapsome (https://leapsome.com)

Core idea: An all-in-one people-enablement solution popular with high-growth scale-ups for its ease of use and modular pricing.

AI highlights

• Review Assistant that autocompletes detailed, actionable review statements
• Competency-framework analysis that maps feedback to skill gaps
• Learning recommendations that tie development plans to review outcomes

Ideal for: Small to mid-size teams wanting performance, engagement, and learning in a single, user-friendly package.

5. Culture Amp (https://cultureamp.com)

Core idea: The benchmark leader in engagement surveys, now infusing AI to speed insight extraction and link survey data to performance outcomes.

AI highlights

• Natural-language processing that surfaces sentiment and themes in open-ended comments
• Calibration tools that detect rating anomalies and potential bias
• Continuous-listening nudges that flag disengagement early

Ideal for: Global organisations that rely on deep benchmarks yet want to bring real-time insights into the review process.

Quick-View Comparison

✔ = available now • ⚬ = limited or in beta

How to Choose the Right AI Review Tool

1. Check workspace fit. If your team lives in Slack, a Slack-native tool like Windmill drives higher adoption.
2. Match cadence to culture. Continuous feedback works best for fast-moving teams, whereas quarterly surveys may suit larger enterprises.
3. Weigh analytics depth. Culture Amp and Lattice excel at cross-company benchmarks; Windmill shines at day-to-day coaching insight.
4. Test ease of drafting. AI summaries save managers the most time—pilot the feature with a single team before a full rollout.

Final Takeaway

AI review software is turning performance management from a year-end scramble into an always-on coaching engine. Whether you need Slack-first automation (Windmill) or enterprise analytics (Culture Amp), each platform above offers powerful AI to help managers deliver fair, timely reviews—without the paperwork marathon.