Target keyword: best ai tools for hr professionals 2028 | Last updated: Feb 2028
Human resources in 2028 has been transformed by AI more comprehensively than most HR professionals expected — and in a different pattern than the "AI replaces HR" narrative suggested. The transformation has been additive in the knowledge-intensive parts of HR work (strategic people analytics, compensation modeling, workforce planning) and substitutive in the high-volume, low-judgment parts (resume screening, interview scheduling, routine employee inquiries). The HR professionals doing the most valuable work in 2028 are those who have moved up the value stack, using AI to handle volume so they can focus on the judgment, relationship, and culture work that doesn't scale.
This guide covers the AI tools that are making that shift possible — organized by HR function.
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Best AI HR Tools at a Glance
| Tool | Use Case | Company Size | Starting Price |
|---|---|---|---|
| Ashby | AI-powered recruiting and ATS | Growth stage + enterprise | From $150/mo |
| Findem | AI talent search across professional data | Mid-large firms | Enterprise |
| Lattice AI | Performance management and engagement | All sizes | From $11/person/mo |
| Leapsome | AI performance reviews and learning | All sizes | From $8/person/mo |
| Eightfold AI | Talent intelligence platform | Large enterprises | Enterprise |
| Workday AI | HRIS with embedded AI features | Mid-large enterprises | Enterprise |
| Glint (LinkedIn) | Employee engagement and sentiment | Mid-large enterprises | Enterprise |
| 15Five | AI-powered employee performance and engagement | All sizes | From $9/person/mo |
Deep Dives: AI Tools for HR
Ashby: AI-Native Recruiting for Growing Companies
Ashby has built the AI-first ATS from the ground up rather than adding AI to legacy recruiting software. The result is a recruiting platform where AI is integrated into the workflow at each stage: parsing incoming applications, scoring candidates against role requirements, drafting outreach messages, scheduling interviews, summarizing interview feedback, and producing offer recommendations based on comp bands.
The candidate scoring feature is the most consequential: Ashby's AI evaluates resumes and application materials against role requirements and produces a ranked list of candidates with brief rationale for each score. For high-volume roles where the team is manually reviewing 200+ applications, AI-assisted screening that identifies the 20 candidates most worth reviewing saves hours per hire. The quality depends heavily on how well the role requirements are specified — AI scoring against a vague job description produces vague results; AI scoring against a structured requirements document produces useful signal.
The interview intelligence features — where Ashby synthesizes structured interview feedback from multiple interviewers into an integrated recommendation — reduce the time cost of panel interviews and improve consistency. Structured feedback forms that capture specific evidence for each evaluation criterion, rather than free-form impressions, produce better inputs for the synthesis AI and better outcomes in the hiring decision.
For companies between 50 and 2,000 employees where recruiting is a primary operational challenge, Ashby's pricing and feature set positions it well against both spreadsheet-based recruiting operations and enterprise ATSs like Greenhouse or Lever.
Eightfold AI: Talent Intelligence at Enterprise Scale
Eightfold AI is the AI talent platform for large enterprises that need to understand their workforce across dimensions — skills, experience, potential, flight risk — that traditional HR systems don't capture. The platform ingests data from the HRIS, ATS, performance management, and learning systems and builds a skills graph of the workforce that supports recruiting, internal mobility, succession planning, and workforce planning.
The skills gap analysis — identifying where the organization's current workforce skills diverge from projected future needs — is the feature that drives strategic planning value. For enterprises navigating technology transitions or business model shifts, understanding which skills exist in the workforce, which skills are short, and which adjacent skills in the workforce could be developed into needed capabilities is a workforce planning question that's impossible to answer manually and table-stakes for boards and C-suites in 2028.
Internal mobility is the feature with the most immediate ROI: Eightfold identifies employees whose skill profiles match internal open roles and surfaces those matches to recruiters before posting externally. For large enterprises where the recruiting team doesn't have visibility into the full employee population's skills, this automated matching fills roles faster and with better retention outcomes than external hires in most cases.
Lattice AI: Performance Management That Works
Lattice has built AI into its performance management platform in ways that address the two failure modes of traditional performance reviews: reviews that are too infrequent to be useful, and reviews that are so burdensome to complete that managers defer them or complete them superficially.
The AI-assisted review writing feature generates a draft performance summary for each employee from structured data inputs: goal completion, peer feedback, check-in notes, and manager observations. The manager reviews, edits, and adds context. For managers with 10 to 15 direct reports, the difference between writing 15 performance reviews from scratch and editing 15 AI-generated drafts is 6 to 10 hours of work per review cycle — and the outputs are more consistent and better documented.
The engagement AI in Lattice synthesizes pulse survey responses, check-in patterns, and goal completion data into a people risk dashboard that surfaces employees showing early signs of disengagement or flight risk. This early-warning capability lets managers and HR partners intervene before disengagement becomes resignation, which is both a talent retention and a cost avoidance story: replacing a mid-level employee costs 50–150% of their annual salary when recruiting, onboarding, and productivity ramp are included.
Findem: AI Talent Search Across the Open Web
Findem's AI searches across professional profiles, publication databases, patent records, conference speaker lists, open source contribution history, and other publicly available signals to identify candidates who match specific attribute requirements. The capability goes beyond what LinkedIn Recruiter provides: Findem can find candidates who have a specific combination of attributes (built a product used by 1M+ users, led a team of 10+, has a background in healthcare AI) that aren't reliably captured in standard profile fields.
For hard-to-fill roles where the standard talent pools are exhausted — engineering leadership, specialized technical roles, niche industry expertise — Findem's broader search surface and attribute-based matching identifies candidates that keyword-based search would miss. The candidate profiles include rationale for why they match, which accelerates the recruiter's evaluation and outreach prioritization.
The outreach personalization feature drafts initial recruiter messages personalized to each candidate based on their background, recent work, and the specific attributes that made them relevant to the role. Personalized outreach consistently outperforms template messages in response rates, and Findem's AI makes personalization scalable — the recruiter reviews and approves rather than writing from scratch.
15Five: Continuous Performance Management
15Five takes a different approach to performance management than annual or semi-annual review cycles: continuous check-ins, structured goals, and regular pulse surveys that produce a current, data-rich picture of employee performance and engagement rather than a snapshot at review time.
The AI features in 15Five automate the overhead of continuous performance management: synthesizing check-in responses into themes, surfacing goal progress anomalies, and identifying engagement patterns in pulse survey data. For HR partners managing multiple teams, the AI-generated summaries of team health across multiple data streams are more efficient than reading every check-in individually.
The manager coaching feature — where 15Five's AI suggests specific conversation topics and coaching approaches based on an employee's recent check-in responses and performance data — addresses the manager capability gap that limits the value of continuous performance management. A manager who doesn't know how to have a career development conversation is less likely to have one; a manager who receives a suggested approach has a starting point that's better than nothing.
For a complete overview, see our guide to the best AI HR tools — comparing the top options, pricing, and use cases.
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