Leapsome AI features and use cases for people teams

Leapsome embeds AI across four core workflows: performance reviews, engagement surveys, goals and OKRs, and manager support. Use this post to understand exactly what each feature does, where it appears in the platform, and how it reduces manual work without removing human oversight.

You'll learn about: 

• AI-generated review questions tailored to competencies
• Survey analysis that surfaces themes in minutes
• Goal suggestions aligned to company objectives
• Leapsome’s AI copilot, Leapy, which drafts feedback and coaching prompts

Each example comes from live platform workflows, so if you're evaluating HR platforms and need to understand what's built versus what's roadmap, this is your go-to reference. Use it to map features against your current gaps and identify what to pilot first.

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What vendors don't tell you about their AI features

Most product information about AI in human resources discusses what the tool should be able to do in the near future rather than what it can do now and how you can use it within your current processes. This makes it virtually impossible to accurately compare solutions and select the right platform for your team.

This guide provides a practical solution to that problem by showing you real Leapsome AI workflows so you can properly judge usefulness, admin controls, and day-to-day impact.
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HR leaders often get vague answers about AI tools

When vendors are vague about their platform’s AI capabilities, you’re left with a disconnect between what’s promised and what you can practically get done. 

You see claims about smart summaries without knowing where they appear, what triggers them, or who can edit the output. You hear about copilots without clarity on which data they use, what permissions apply, or how suggestions become actions. And you get slides for goals and OKRs without seeing how key results are generated or reviewed. 

The result is guesswork and stalled adoption. The next sections close that gap with concrete workflows, feature locations, and admin controls you can verify.
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What people teams want to know when evaluating AI

Use this checklist as you read, so you can map Leapsome’s AI features to your process and decide what matters for your rollout. Each point highlights a practical question to answer before shortlisting a platform.

• Where AI appears in performance reviews and how it supports clear, constructive feedback

• How survey analytics work after a round closes and how comment summaries reduce manual reading time

• How goals and OKRs become clearer with suggested key results and in-product guidance

• How the AI copilot influences daily manager workflows without changing your policies

• What controls exist for pilots, permissions, and data privacy, and whether each feature is optional

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AI in reviews helps managers give clearer, more useful feedback

Leapsome’s AI features support managers at three points in the review workflow. This helps turn rough drafts into clear feedback, condenses multi-source input into a single view, and checks grammar for consistent quality. Meanwhile, you’re in control throughout.

Below, we take a look at each of those three key steps.
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Summarize multi-source feedback into a single view

For 360° feedback, Leapsome’s AI features condense comments from peers, direct reports, self-assessments, and managers into a concise summary. 

This surfaces common themes and notable outliers, so reviewers can spot patterns and prepare a balanced response faster. At the same time, it reduces manual skimming and lowers the chance of inconsistent interpretation across managers, while also helping to keep the conversation focused on the most relevant behaviors and outcomes. 

It also proposes action plan ideas based on the summarized input, so teams quickly move from findings to constructive next steps.

Turn rough feedback into clear, constructive suggestions

Leapsome's AI Review Assistant helps managers refine their feedback as they write. Managers draft in their own words, then the assistant suggests rewrites that improve clarity, tone, and specificity while keeping the manager's original intent.

The assistant proposes constructive phrasing and growth-oriented follow-ups, so feedback reads as actionable and fair. Managers can accept, edit, or ignore suggestions, which keeps ownership of the message with the reviewer.

This works especially well when feedback feels blunt or vague. The assistant helps frame observations with examples and next steps, so employees understand what to continue and what to change.

Grammar support improves feedback quality across teams

Grammar and clarity suggestions help managers write professionally and with confidence, so our AI features flag phrasing issues, long sentences, and tonal inconsistencies.

This is especially useful for global teams where English may not be a first language. Managers stay in control by applying only the changes that fit the situation, and employees benefit by receiving clearly expressed feedback that’s easy to understand and act on.

‍⭐ Give feedback that drives performance
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‍Help managers write clear, constructive reviews with AI assistance that keeps their voice intact.
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‍👉 Explore Reviews

AI helps make sense of survey data faster

After a survey round ends, you need to sort through the comments, identify patterns, and determine the next steps. 

Leapsome’s AI features help you through this process by turning open text into themes you can sort by sentiment and filter by team or location. They also highlights what changed since the last round, so you can see movement.

This allows you to spend less time reading and more time planning useful actions.
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Generate comment summaries that adapt to filters

You can use Leapsome AI to group open text into clear themes, which you can then tag by sentiment. By applying filters by department, manager, location, or custom attributes, and using AI summaries to match that view, you can easily compare experiences across groups without reading every response. 

This potentially saves you hours of sifting through hundreds of responses. Additionally, since the assistant also reduces the likelihood of a few loud comments skewing your interpretation of the survey, the results better reflect the overall signal from your employees.

You get a fast path to the core issues that matter, then you can drill into the original comments when you need detail. 

Move from insight to action plan in one step

Based on the themes it identifies, Leapsome AI features suggest follow-up actions you can adapt to your core objectives and the context of the survey. Throughout, you stay in full control, with the opportunity to review, edit, or ignore suggestions before sharing plans with managers.

📊 Turn survey data into action plans faster
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‍Surface themes, track sentiment, and move from insight to impact without manual analysis.
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‍👉 Explore Surveys

Leapsome AI improves goal clarity and alignment

Leapsome AI features supports goal writing by sharpening wording as employees and managers type, then suggesting measurable key results that align work across departments. You can see how this works in practice, below.
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Refine goals and OKRs with smart, real-time input

As users draft goals, the assistant highlights any vague phrasing and suggests clearer, outcome-focused wording. It nudges writers to add scope, time frames, and ownership, which raises the quality of goals across teams. 

This is especially useful for organizations new to OKRs, where people often start setting goals with activity lists or broad aspirations instead of outcome-based objectives, which can affect alignment and make reviews harder to manage.

The guidance helps people distinguish between objectives and key results, and connect each objective to the current goal cycle and planning cadence. The result is clearer goals that are easier to track and review.

🎯 Set goals that connect strategy to execution
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Help teams write clearer objectives and measurable key results with AI-powered suggestions and real-time guidance.
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Auto-generate key results to make goals measurable

Once the objective is drafted, Leapsome AI (which is trained on OKRs from our experience working with thousands of HR departments) proposes key results that make progress visible. Suggestions draw on the goal’s wording, then prompt you to add owners, baselines, targets, and time frames, so each KR is trackable from day one.

Reviewers can select, refine, or replace any proposal, which keeps ownership with the team while speeding up the first pass. 

This helps users avoid the issue of having to contend with a blank page. It also helps experienced teams standardize how they measure success with consistent metrics, review cadences, and check-in prompts across departments. Teams already exploring AI in human resources will find that these suggestions reinforce good measurement habits inside the goal flow.

The AI Copilot supports daily decisions

Leapsome AI includes an in-product copilot, called Leapy, that helps your teams take action based on what they see in the platform. It answers questions, summarizes context, and suggests next steps across reviews, goals, surveys, and knowledge. Here we take a look at some of Leapy’s core functions.
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Answers and suggestions tailored to the user’s context

Leapy responds based on what the user can see in Leapsome. It utilizes the user’s role, recent feedback, goals, and meeting notes to provide relevant answers. 

When connected to your full HRIS suite, Leapy pulls in additional context—like employment status, location, team structure, and compensation bands—to deliver more precise guidance. 

For example, a manager inquiring about promotion timelines receives answers informed by tenure data and salary progression policies, rather than just performance review history. 

All of Leapy’s suggestions remain editable, so users can always retain their unique voice as they complete essential people management tasks more efficiently.
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Connected company documents

Leapy can also search your HRIS documentation, policies, and handbooks, then provide the relevant passages, only returning information that the user has permission to view, which protects sensitive content. 

This allows people to ask practical questions, such as how sick leave works or which benefits apply in their country, and receive an answer that points back to the source document. This helps new hires and managers address routine questions within the workflow.

🏢 Connect your people data in one platform
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Leapsome integrates with your HRIS to give teams context-aware answers and streamlined workflows.
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AI accelerates competency framework creation

Leapsome AI helps teams get from a blank page to a usable framework quickly. You can generate draft competencies by role or department, then edit wording and levels to match your organization’s expectations.
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Generate draft frameworks from a few simple inputs

Start by selecting a role or department and adding a short description of what success looks like. Leapsome AI generates a baseline set of competencies with corresponding level descriptions that you can review in one place. 

You can rename categories, tweak behaviors, and add or remove levels to fit your structure. This provides HR and managers with a quick starting point that is easy to refine and share. It also helps standardize language across teams while keeping room for local variations. 

The drafts are fully editable in the same workflow, so you can move from an initial outline to a competency framework your leaders can pilot with minimal setup.
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Settings and permissions keep teams in control

Leapsome AI is configurable, so you decide where it appears and who can use it. This helps you pilot features safely and roll out changes at your own pace.

To prepare for a safe rollout, use an AI readiness assessment to confirm data access, ownership, and change management steps.
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Every AI feature is optional and fully configurable

Use the following controls to decide where AI appears and who can use it.

• Super admins can enable or disable AI features by module, for example, reviews, surveys, goals, and the copilot.
  
  
• You can pilot features with specific teams or roles first, then expand access once you confirm fit.
  
  
• Permissions follow your existing role setup, so managers and employees only see the AI where they already have access.
  
  
• Changes are reversible, so you can adjust settings as feedback comes in from your pilot.

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The AI only accesses what the user can see

Leapsome AI respects the platform’s permission model. It uses the same visibility rules as the rest of the product and does not access or infer beyond data a user can already view. For details on privacy and security, visit our Trust Center.

"Using Leapsome, especially for engagement surveys, saves me hours. I used to collect everything in Excel, run calculations, and compare results manually. Now it’s all in one place — it’s faster, easier, and gives us clearer data."

-Lianne De Vries, People Lead at TicketSwap

See Leapsome’s AI features in action

All Leapsome’s AI features in this guide are live today across reviews, surveys, goals, and the copilot. See them working on your own data in a guided tour and how they handle real workflows.

🚀 See how AI fits your workflows
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Test Leapsome's AI features on your own data—across reviews, surveys, goals, and coaching.
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FAQs

What does Leapsome AI include today?

Leapsome AI appears in reviews, surveys, goals, and the AI copilot. It helps draft and refine feedback, summarize multi-source input, generate survey comment summaries, suggest post-survey actions, sharpen goal wording, propose key results, and contextually answer product questions.
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Can I use some features and turn others off?

Yes. Super admins can enable or disable AI features by module and pilot with specific teams or roles before wider rollout. Settings are reversible, so you can adjust access as you gather feedback.
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How does Leapsome AI handle data privacy?

Leapsome AI follows the platform’s existing permission model. It only uses data a user can already see and does not access or infer beyond that scope. For details on security, storage, and compliance, visit the Trust Center.
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What makes Leapsome AI different from other tools?

Leapsome AI is embedded in core workflows your teams already use. That means guidance appears in the flow of reviews, surveys, and goals, with admin controls that match your rollout plan. The copilot answers from your context and your documents, while respecting permissions.
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Do managers need training to use the AI features?

Minimal training is needed. Guidance appears in context and suggestions are optional and editable. Most teams learn by using the AI features during a pilot, with admins sharing short how-to notes or quick Loom videos as needed.