Writing performance reviews is one of those tasks that eats way more time than it should — not because the evaluation is hard, but because staring at a blank document trying to turn mental notes into professional paragraphs is brutal.
Here’s the thing: artificial intelligence (AI) can draft review language from structured inputs. It can summarize months of feedback into themes. It can even flag biased phrasing before it becomes a legal problem. What it can’t do is evaluate your people. That’s still your manager’s job.
Let’s break down what actually works.
AI Drafts the Words, You Make the Call
Tools like Lattice, Notion AI, and ClickUp AI take bullet-point notes from managers and turn them into paragraph-form review language. The manager then edits for accuracy and tone.
Think about it this way: a manager with 8 direct reports spending roughly an hour or more writing each review — which is consistent with what industry surveys typically report — is looking at a full day of documentation work. Using AI to generate initial drafts from existing notes could realistically cut that drafting time roughly in half. Vendor claims run higher — 70-80% reductions — but treat those skeptically.
**What it costs:** Lattice uses custom pricing — you’ll need to request a demo for current rates, and costs vary depending on which modules (performance, engagement, compensation) you need. Notion AI is available as an add-on; check notion.so/pricing for current rates, as Notion has been iterating on how AI features are bundled across plan tiers, and pricing differs depending on monthly versus annual billing. If you’re a smaller team just wanting draft assistance, Notion AI or ClickUp AI are the more budget-friendly options compared to a dedicated human resources (HR) platform like Lattice.
**The critical distinction:** these tools generate *language*, not *evaluations*. They automate documentation, not judgment. If your manager’s bullet points are vague, the AI draft will be vague too.
Summarizing Months of Feedback Without Losing Your Mind
This is where AI shines for small businesses specifically. If you’re the person who wears the HR hat *plus* three other hats, reading through six months of check-in notes, peer reviews, and self-assessments for 30 employees is genuinely painful.
Tools like 15Five’s AI Assist pull from feedback and check-in data already in the system to produce thematic summaries. Consolidating months of weekly notes into patterns and highlights is exactly the kind of task large language models (LLMs) — the AI brains behind tools like ChatGPT — handle well.
**What it costs:** 15Five offers multiple plan tiers, and AI features are available on higher-tier plans. Pricing has changed multiple times, so check 15five.com/pricing for current rates before committing. Don’t assume a number you saw in a review article six months ago is still accurate.
Catching Biased Language Before It Becomes a Problem
Here’s one most small businesses don’t think about. Research — including analyses of tens of thousands of performance reviews by Textio and independent academic work by Stanford’s Shelley Correll — has shown that women’s reviews disproportionately contain personality-based feedback while men’s reviews focus on skills and outcomes.
Tools like Textio flag these patterns automatically. Small businesses typically don’t have employment lawyers reviewing every review document, so AI language analysis acts as a lightweight compliance check. Textio operates on custom quotes and is positioned as a premium product, so it may not fit every budget.
Your One Takeaway
Start with the simplest version: have your managers type their bullet-point notes into Notion AI or a similar writing assistant and let it generate a first draft. Edit from there. You’ll save real time on the documentation grind without outsourcing the actual thinking to a machine. That’s the line worth holding — AI handles the paperwork so your managers can focus on the conversation that actually matters.