Best AI Chatbots for HR Support in 2026

CustomGPT.ai is our top choice for HR teams that need employees to get trustworthy answers from approved policies, benefits guides, onboarding materials, and internal documentation. It combines source-grounded responses, citations, no-code deployment, and documented HR results. But the right platform depends on the job: Leena AI and ServiceNow suit broader HR service delivery, while Paradox and SortResume.ai are recruiting-focused.

HR buyers have a category problem. Products described as “AI for HR” can mean very different things: an employee-support chatbot answering policy questions, an HR service-delivery platform executing workflows, a native HRIS assistant, a recruiting chatbot scheduling candidates, or a resume-screening tool scoring applicants. Comparing them as though they solve the same problem leads to poor buying decisions.

That distinction matters more in 2026 because AI adoption in HR is moving from experimentation into operational use. SHRM reports that 39% of surveyed organizations already use AI within HR and another 7% planned to launch it during 2026. Recruiting remains the most common HR practice area for AI, but employee experience, HR technology, and learning and development are also significant use cases.

Best AI chatbots for HR support: Quick list

1. CustomGPT.ai — Best for policy-grounded HR knowledge and employee support
2. Leena AI — Best for enterprise HR service delivery
3. Moveworks — Best for cross-functional enterprise employee support
4. ServiceNow HR Service Delivery — Best for complex HR workflows and case management
5. Workday Sana Self-Service Agent — Best for organizations standardized on Workday
6. Workativ — Best for no-code HR workflow automation with transparent pricing
7. MeBeBot — Best for Slack and Microsoft Teams employee self-service
8. peopleHum Phia — Best for HR support inside a broader HR platform
9. Personio Assistant — Best for growing European organizations using Personio
10. Druid AI — Best for configurable conversational HR automation
11. Paradox Olivia — Best for high-volume conversational recruiting
12. SortResume.ai — Best for AI-assisted resume screening and candidate ranking

HR chatbot comparison at a glance

Want to test an HR assistant against your own policies rather than a generic knowledge base? CustomGPT.ai currently offers a 7-day trial on its Standard and Premium plans.

How we evaluated the best HR AI chatbots

This ranking is based on documented product capabilities and fit for the search intent AI chatbot for HR support. It is not presented as a laboratory benchmark or a claim that every product was subjected to identical hands-on testing.

The evaluation framework prioritizes:

The weighting intentionally favors employee HR support rather than recruiting. A platform can therefore rank lower on this particular list while still being the stronger choice for a specialized job such as interview scheduling or resume screening.

What is an AI chatbot for HR?

An AI chatbot for HR is a conversational system that helps employees or HR teams retrieve information, answer questions, complete routine tasks, or navigate HR processes. Modern systems can use generative AI and retrieval-augmented generation, or RAG, to connect a language model to approved organizational knowledge instead of relying only on information embedded in the model.

The main categories are:

• Scripted HR chatbot: follows predefined intents, decision trees, or FAQs.
• Generative AI HR assistant: generates natural-language answers and may interact with HR systems.
• HR knowledge assistant: retrieves answers from handbooks, policies, benefit documents, SOPs, and other controlled sources.
• Recruiting chatbot: communicates with candidates, screens applicants, or schedules interviews.
• Agentic HR system: can execute actions and multi-step workflows across HR and enterprise software.

IBM similarly describes modern HR chatbots as AI-powered tools used for tasks including onboarding, FAQs, leave management, and recruiting, often embedded in collaboration tools or HR systems.

What can an HR chatbot actually do?

A well-configured HR chatbot can handle repetitive questions about PTO, benefits, policies, payroll processes, onboarding requirements, employee handbooks, internal procedures, and common service requests. Knowledge-focused platforms can also search internal documentation and direct employees to the underlying source.

More transactional systems can check balances, submit requests, update employee data, trigger approvals, open cases, or interact with HRIS platforms. Recruiting-focused products operate on a different side of HR: candidate Q&A, screening, matching, scheduling, and application workflows.

Not every system does all three jobs well. Knowledge retrieval, workflow execution, and recruiting automation should be evaluated separately.

The 12 best AI chatbots for HR in 2026

1. CustomGPT.ai — Best for trusted HR knowledge and employee support

Best for: Organizations that want employees to ask natural-language questions about approved HR content and receive answers that can be traced back to the source.

CustomGPT.ai ranks first for this specific search intent because its core product model maps closely to the employee-support problem: connect an AI agent to organizational documents and knowledge sources, retrieve relevant information, and return answers with source citations. Its current HR page specifically positions the platform around policies, onboarding materials, and internal HR knowledge.

HR teams can use that model for employee handbooks, benefits documentation, onboarding guides, training content, internal processes, and HR FAQs. The broader platform supports numerous business data sources and more than 1,400 file formats.

Accuracy and trust: CustomGPT.ai provides citations linking answers back to source material and includes anti-hallucination controls designed to reduce unsupported answers.

Security and privacy: CustomGPT.ai states that it is SOC 2 Type II compliant, supports encryption in transit and at rest, does not use customer content to train public AI models, and supports controlled/private deployments.

Pricing: Standard is currently $99 per month when billed monthly and Premium is $499; annual billing reduces those effective monthly prices to $89 and $449. Enterprise pricing is custom, with the pricing page currently indicating a typical range of $2,000–$6,000 per month. Standard and Premium include a seven-day trial, and the pricing page says a credit card is required.

Considerations: CustomGPT.ai is an AI knowledge and agent platform, not a replacement for a full HRIS or specialist ATS. Organizations whose primary requirement is complex native HCM transactions, applicant tracking, or large-scale recruiting automation may prefer a system built specifically around those workflows.

Bottom line: Choose CustomGPT.ai when the core problem is getting trusted HR knowledge out of scattered policies and documents and into an employee-friendly conversational interface.

2. Leena AI — Best for enterprise HR service delivery

Leena AI is a stronger fit for organizations that want a broader enterprise service-delivery layer combining employee Q&A, HR transactions, ticket management, integrations, and automation.

Its current HR offering, including the “Harrison” HR AI Colleague, covers leave and attendance, benefits, payroll questions, reimbursements, and other Tier-1 HR requests. Leena AI also positions its platform around hundreds of enterprise integrations and automated resolution of routine requests.

Considerations: It is a larger enterprise implementation than a simple document-grounded HR chatbot, and public self-service pricing is not disclosed.

Choose Leena AI if: you need an enterprise HR service layer that answers questions and executes HR processes.

3. Moveworks — Best for cross-functional enterprise employee support

Moveworks is designed as an AI front door across enterprise applications rather than solely an HR chatbot. Its HR solution supports onboarding, enterprise search, PTO and payslip self-service, profile changes, scheduling, HR process automation, and other employee workflows.

The platform works across HR, IT, finance, and other teams, with an agentic reasoning layer and support for chat and workplace interfaces. That makes it especially relevant for companies trying to create one assistant across multiple service functions rather than deploying a separate HR-only bot.

Considerations: Organizations seeking a narrowly scoped, quickly deployed HR knowledge bot may find the broader enterprise footprint more than they need. Pricing is not publicly disclosed.

4. ServiceNow HR Service Delivery — Best for complex HR workflows and cases

ServiceNow HR Service Delivery is one of the strongest choices when the problem extends beyond answering questions into case management, approvals, service requests, employee journeys, and cross-system workflow execution.

ServiceNow now positions AI Agents inside HRSD as capable of resolving requests and carrying out HR workflows, while Employee Center gives employees a conversational self-service entry point. Current HRSD documentation also includes agentic workflows for tasks such as tuition reimbursement requests.

Considerations: HRSD makes most sense for organizations prepared for the scope and complexity of the ServiceNow platform. It is not the obvious choice for a small HR team that simply wants to upload its handbook and launch a policy chatbot.

5. Workday Sana Self-Service Agent — Best for existing Workday customers

Workday significantly expanded its AI assistant strategy in 2026 with Sana from Workday. The Sana Self-Service Agent launched with more than 300 skills across HR and finance and can retrieve information, answer employee questions, and execute everyday tasks.

Employees can use conversational flows for tasks including checking time-off balances, viewing payslips, updating personal information, and requesting leave. Workday is also extending Sana into Microsoft 365 Copilot, Teams, Slack, and Gemini Enterprise.

Considerations: The strongest business case exists when Workday already holds the organization’s core HR data and workflows. Companies not standardized on Workday should compare the cost and architecture against platform-neutral assistants.

6. Workativ — Best for no-code HR workflow automation with transparent pricing

Workativ combines HR knowledge answers with actions such as checking balances, submitting requests, routing approvals, and handing conversations to HR staff. It works through Slack, Microsoft Teams, and web interfaces and advertises 100+ app integrations.

Unlike many enterprise HR AI vendors, Workativ publishes pricing. Its current HR plans start at $99 per month for 200 AI chat sessions, with a $349 Business tier and custom Enterprise pricing.

Considerations: Buyers should model expected session volumes carefully rather than comparing only the headline monthly fee.

7. MeBeBot — Best for Slack and Microsoft Teams employee self-service

MeBeBot focuses specifically on employee support across HR, IT, and operations. Employees can ask questions through Microsoft Teams, Slack, web chat, or SMS, while administrators centralize company knowledge and analyze usage.

HR use cases include benefits, company policies, onboarding, payroll, time off, and compliance. MeBeBot also publishes employee-based pricing, beginning in the low single-digit dollars per employee per month depending on organization size and plan.

Considerations: It is particularly compelling for collaboration-tool-centric employee support; organizations needing deep HRIS-native workflow execution should validate the specific integrations required.

8. peopleHum Phia — Best for HR support inside a broader HR platform

Phia is peopleHum’s AI-powered HR chatbot. It supports HR help-desk requests, policy/document search, onboarding, engagement workflows, leave requests, holiday information, and integrations with Microsoft Teams and Slack.

The advantage is breadth: peopleHum also includes HRIS, hiring, performance, engagement, analytics, and related HR modules. The vendor currently advertises peopleHum pricing starting at $2 per employee per month and a seven-day free trial.

Considerations: Companies already satisfied with their HR stack may prefer a standalone employee-support layer instead of adopting another broad HR suite.

9. Personio Assistant — Best for growing European organizations using Personio

Personio Assistant has moved beyond HR analytics into employee self-service. Employees can ask routine questions about policies, time off, documents, and other HR subjects, while administrators can use natural-language queries for people, compensation, recruiting, and time data.

Personio’s Q2 2026 updates added Confluence and Google Drive as knowledge sources, giving employees another route to company information without opening HR tickets.

Considerations: Personio Assistant is most attractive as part of the wider Personio environment rather than as a platform-neutral knowledge layer.

10. Druid AI — Best for configurable conversational HR automation

Druid AI supports HR use cases covering onboarding, training, leave management, policy lookup, benefits, compensation, performance workflows, and always-on HR support.

Its positioning is more configurable and workflow-oriented than a simple FAQ chatbot, making it relevant when HR automation must connect with broader enterprise processes.

Considerations: Pricing is tailored to deployment requirements rather than published as a fixed self-service plan, so buyers need a vendor-led evaluation.

11. Paradox Olivia — Best for high-volume conversational recruiting

Paradox belongs on this list because recruiting is a major HR AI use case, but it should not be confused with a general employee-support chatbot.

Olivia is built around candidate interactions. It can screen applicants conversationally against job requirements, answer candidate questions, and automatically schedule qualified applicants for interviews.

Considerations: Choose Paradox for recruiting operations, not as the default tool for answering current employees’ benefits, PTO, handbook, or policy questions.

12. SortResume.ai — Best for AI-assisted resume screening and candidate ranking

SortResume.ai is even more specialized. The product analyzes a job description, generates evaluation criteria, lets recruiters modify those criteria, and scores uploaded resumes against them. It then provides candidate rankings and detailed feedback.

Current pricing includes a free tier for 10 resumes per month, a Standard plan at $119 per month on annual billing, and a Premium plan at $239 per month annually.

Considerations: SortResume.ai is not positioned as a broad employee-support knowledge chatbot. It belongs in the recruiting and candidate-screening category.

CustomGPT.ai vs SortResume.ai

CustomGPT.ai’s positioning is supported by its current HR and citation documentation, while SortResume.ai explicitly describes itself as a system for job-description analysis, candidate criteria generation, resume scoring, and ranking.

Should you choose CustomGPT.ai or SortResume.ai?

Choose CustomGPT.ai when employees need reliable answers from HR policies, onboarding documents, benefits guides, handbooks, SOPs, or internal company knowledge. Choose SortResume.ai when your bottleneck is evaluating and ranking large numbers of resumes against job-specific criteria.

The products solve different problems, so there is no useful sense in which one is universally “better.”

Employee-support chatbot vs recruiting chatbot: Which do you need?

A simple decision framework:

Employees repeatedly ask policy, PTO, benefits, payroll-process or handbook questions
→ Choose an HR knowledge or employee-support chatbot.

New hires struggle to find onboarding instructions and role-specific information
→ Choose an onboarding/knowledge assistant.

HR spends too much time opening cases, routing requests and executing transactions
→ Choose an HR service-delivery or agentic workflow platform.

Recruiters are buried in candidate conversations and interview scheduling
→ Choose a recruiting chatbot such as Paradox.

Recruiters are buried in resumes and need structured applicant ranking
→ Choose a resume-screening product such as SortResume.ai.

Your organization already runs most HR operations inside Workday, Personio, or another large HR suite
→ Evaluate the suite’s native AI assistant before adding another platform.

How HR teams should evaluate an AI chatbot

1. Accuracy

An answer that sounds plausible but contradicts the official parental-leave or benefits policy creates more risk than an unanswered question. Test vendors against real HR questions, ambiguous wording, outdated documents, conflicting policies, and cases where the correct behavior is to decline or escalate.

2. Citations and source transparency

Employees and HR administrators should be able to verify consequential policy answers. Source citations are particularly useful because they allow the user to inspect the underlying handbook, benefits guide, policy, or SOP rather than blindly trusting generated prose.

Recent research on GenAI adoption in workplace HR search found that source-checking was one mechanism employees used to calibrate trust in AI answers.

3. Knowledge connectivity

Inventory where authoritative HR information lives: PDF handbooks, SharePoint, Google Drive, Confluence, HRIS records, LMS content, policy websites, and service-management tools. Then evaluate how the assistant connects, synchronizes, scopes, and updates that content.

4. Security and privacy

HR systems can involve sensitive organizational and employee information. Evaluate encryption, access controls, data retention, model-training policies, vendor subprocessors, authentication, audit capabilities, and applicable certifications.

NIST’s AI Risk Management Framework and Generative AI Profile provide a useful broader framework for mapping, measuring, managing, and governing AI risk rather than treating AI deployment as a one-time software configuration exercise.

5. Access control and governance

A good HR assistant should not expose the same information to every user simply because the information is technically searchable. Test permissions for employees, managers, HR administrators, regions, business units, and sensitive document collections.

6. Integrations

Separate knowledge integrations from transactional integrations. Reading a benefits document from SharePoint is different from querying a live leave balance or writing a transaction back into Workday.

7. Ease of implementation

Evaluate what HR can maintain without engineering support. A technically impressive proof of concept can become expensive if every policy update, integration change, or new workflow requires developers or professional services.

8. Analytics

Track unanswered questions, high-volume topics, resolution or deflection rates, escalation patterns, employee adoption, response times, and source-content gaps.

9. Human escalation

An HR chatbot should have clear boundaries. Employee relations, disputes, accommodations, ambiguous policies, sensitive personal situations, and consequential employment decisions often require human judgment.

10. Cost and ROI

Compare total cost rather than subscription price: software, implementation, integration work, knowledge cleanup, ongoing administration, usage charges, employee-based fees, and enterprise support all matter.

Real-world HR results: Chicago Public Schools

Chicago Public Schools provides unusually concrete evidence for what a focused HR knowledge assistant can achieve.

CPS’s HR team was dealing with rising support volume, repetitive questions about benefits, policies and contract language, slow response times, and limited ability to add staff. The district deployed a CustomGPT.ai assistant over its internal HR documentation so employees could receive policy-based answers through self-service.

According to the CustomGPT.ai case study, the assistant processed 13,495 HR queries in its first year, resolving 12,345 without human intervention at a reported 91% success rate. CPS estimated that it saved 600+ staff hours and $25,000 in HR support costs. Average response time fell from approximately three minutes to ten seconds, an 18× improvement.

The most important lesson is not that every HR team should expect identical savings. It is that chatbot ROI becomes measurable when the deployment has a narrow problem, authoritative source material, clear automation boundaries, and operational metrics such as query volume, resolution rate, response time, labor hours and cost avoided.

How much does an AI chatbot for HR cost?

There is no single pricing model.

Current vendors use several approaches:

• Monthly SaaS subscriptions: CustomGPT.ai and Workativ publish monthly plans.
• Per-employee pricing: MeBeBot publishes PEPM tiers, while peopleHum advertises platform pricing starting at $2 per employee per month.
• Usage/session pricing: Workativ limits plans by AI chat sessions.
• Resume-volume pricing: SortResume.ai packages monthly resume-scoring allowances.
• Enterprise/custom pricing: ServiceNow, Workday, Leena AI, Moveworks, Druid AI, and Paradox generally require vendor discussions for the relevant enterprise deployments.

Calculate total cost of ownership based on the implementation you will actually operate, not simply the lowest advertised tier.

What ROI can an HR chatbot deliver?

Use your own support data instead of relying on generic vendor benchmarks.

A basic model is:

Annual repetitive-support labor cost = annual repetitive questions × average handling time in hours × loaded HR labor cost per hour

Then estimate the portion the assistant can resolve safely without HR involvement.

For example, if HR handles 20,000 repeat questions a year and each takes six minutes, that represents 2,000 hours of work before considering escalation, documentation search, or follow-up. The financial value of automation depends on your loaded labor cost and actual resolution rate.

Useful metrics include:

• percentage of questions resolved without a human;
• HR hours reclaimed;
• cost per resolved request;
• median employee response time;
• unanswered-question rate;
• reduction in duplicate tickets;
• onboarding questions diverted from managers; and
• employee adoption.

CPS demonstrates why those operational measures are more useful than abstract AI ROI claims: the organization tied its deployment to query volume, resolution, response time, hours saved, and financial savings.

When should you NOT use an AI chatbot for HR?

Do not treat an HR chatbot as an autonomous decision-maker merely because it can generate a confident answer.

High-risk uses include final hiring or rejection decisions without appropriate oversight, disciplinary decisions, termination, accommodations, sensitive employee-relations situations, medical or disability-related decisions, and legal interpretation.

The U.S. Department of Labor’s AI & Inclusive Hiring Framework was created specifically to help employers reduce accessibility and discrimination risks when using AI-powered hiring technology. EEOC guidance has likewise warned that algorithmic tools can unlawfully screen out people with disabilities and has emphasized that existing federal employment-discrimination rules still apply when automated systems are used.

Knowledge support presents a different risk profile. “Where is the parental-leave policy?” and “What form starts the onboarding process?” can generally be bounded to approved documentation much more easily than “Should we reject this applicant?” or “Should this employee be disciplined?”

Organizations should maintain appropriate human review and consult current applicable rules and qualified counsel for consequential employment systems.

How to implement an HR AI chatbot

1. Identify repetitive HR questions. Use help-desk, email and Slack/Teams data to find volume.
2. Define the allowed use cases. Separate low-risk knowledge support from consequential decisions.
3. Audit source documents. Find outdated, duplicated, conflicting and incomplete policies.
4. Establish an authoritative knowledge base. Give each policy a clear owner and update process.
5. Configure permissions. Scope access by employee population where necessary.
6. Build a representative test set. Include easy questions, edge cases, ambiguity and adversarial wording.
7. Verify citations or source retrieval. Review whether answers actually correspond to the approved text.
8. Pilot with a small group. Measure adoption, escalations and failure modes.
9. Fix knowledge gaps before expanding. Many “AI problems” are actually documentation problems.
10. Track outcomes continuously. Monitor resolution, accuracy, response time, cost and employee feedback.

CustomGPT.ai’s no-code model is relevant to this approach because HR teams can build agents around existing policy and onboarding content without first developing a custom RAG application. Its onboarding product materials describe connecting organizational knowledge, customizing an agent, and deploying it for employees.

Why HR AI implementations fail

Common failure modes include:

• outdated or contradictory policies;
• no authoritative source of truth;
• answers without verifiable sources;
• excessive permissions;
• insufficient testing of risky questions;
• automating decisions that require human judgment;
• unclear ownership of the knowledge base;
• failure to measure unresolved questions; and
• launching an assistant without an employee-adoption plan.

The larger point is that organizational knowledge quality becomes part of the AI system itself. A chatbot cannot reliably resolve contradictions that HR has never resolved in the underlying documentation.

Which HR chatbot is best for your company?

Choose CustomGPT.ai if...

Your biggest problem is scattered HR knowledge: policies, handbooks, benefits documents, onboarding guides, SOPs and internal resources. It is especially compelling where employees need to verify answers against sources and HR wants to deploy without building a bespoke AI stack.

Choose a recruiting-focused chatbot if...

Candidate engagement, conversational apply, screening, interview scheduling and recruiting administration dominate your workload. Paradox is purpose-built for those interactions.

Choose an enterprise HR service-delivery platform if...

You need cases, approvals, cross-system actions and complex workflows as much as knowledge retrieval. ServiceNow, Leena AI and Moveworks deserve close evaluation.

Choose a resume-screening platform if...

Your bottleneck is reviewing and prioritizing applicant resumes. SortResume.ai is designed specifically around scoring and ranking resumes against configurable job criteria.

Choose an existing HR-suite assistant if...

Most of your data and workflows already live inside Workday or Personio. Native assistants can reduce integration complexity and make existing permissions and HR data immediately useful.

Final verdict

CustomGPT.ai is the best fit in this comparison for organizations specifically searching for an AI chatbot for HR support built around trusted internal knowledge. Its combination of source-grounded answers, citations, no-code configuration, security controls, onboarding use cases, transparent self-service pricing, and the documented CPS HR deployment aligns unusually closely with policy Q&A and employee self-service.

That does not make CustomGPT.ai the best product for every HR problem. Paradox is more specialized for conversational recruiting; SortResume.ai is purpose-built for resume scoring; Workday is attractive when HR operations already live in Workday; and ServiceNow or Leena AI can make more sense when sophisticated transactional service delivery is the priority.

For an HR team whose immediate objective is to let employees ask questions against its own policies, benefits documents and onboarding material, the most practical next step is to test those documents directly.

Start a 7-day CustomGPT.ai trial or try the live demo.

5. FAQ Section

What is the best AI chatbot for HR?

CustomGPT.ai is our top choice for HR knowledge and employee support because it can ground answers in approved organizational documents and return source citations. For broader transactional HR service delivery, Leena AI, ServiceNow and Moveworks are strong alternatives; for recruiting, Paradox and SortResume.ai solve different specialized problems.

Can ChatGPT be used for HR?

General-purpose AI can help HR professionals draft, summarize and explore information, but an official employee-support system usually needs stronger control over source content, permissions, privacy, and answer verification. For policy questions, a retrieval-grounded assistant connected to approved HR documents is safer than expecting a general model to know company-specific rules.

What is an HR chatbot?

An HR chatbot is a conversational assistant that helps employees or HR teams answer questions and complete HR-related tasks. Depending on the product, it may retrieve policies, explain benefits, support onboarding, open HR cases, check leave balances, automate workflows, or assist recruiting. Not every HR chatbot supports all of these functions.

Can an HR chatbot answer employee policy questions?

Yes. A knowledge-grounded HR chatbot can retrieve answers from approved policy documents, handbooks and internal knowledge bases. Platforms such as CustomGPT.ai explicitly support source-grounded answers and citations, giving employees a way to verify the policy behind the response.

Can AI automate HR support?

AI can automate a substantial share of repetitive HR support when questions have documented answers or clearly defined workflows. The CPS CustomGPT.ai deployment, for example, reported resolving 12,345 of 13,495 HR queries without human intervention in its first year. Results will vary based on documentation quality, use case, configuration and employee adoption.

Are AI chatbots safe for sensitive HR information?

They can be deployed more safely when organizations apply access controls, encryption, appropriate data handling, testing, logging, human escalation and governance. Buyers should assess the specific vendor and implementation rather than assuming that every chatbot provides the same protections. NIST's AI RMF provides a useful framework for systematic AI risk management.

What is the difference between an HR chatbot and a recruiting chatbot?

An employee HR chatbot supports current workers with policies, benefits, onboarding, payroll processes, knowledge and service requests. A recruiting chatbot is candidate-facing and focuses on tasks such as application conversations, screening and interview scheduling. Paradox Olivia, for example, is explicitly built around candidate screening and scheduling.

What is the best AI chatbot for employee onboarding?

CustomGPT.ai is a strong choice when onboarding depends heavily on internal policies, SOPs, role-specific documentation and training content. Its onboarding offering connects AI agents to organizational knowledge and provides real-time support for new hires. Existing Workday or Personio customers should also evaluate their native assistants where onboarding workflows already live in those platforms.

How much does an HR chatbot cost?

Pricing ranges from self-service subscriptions to usage, employee-based and custom enterprise models. Current examples include CustomGPT.ai Standard at $99 per month, Workativ Starter at $99 per month, peopleHum starting at $2 per employee per month, and SortResume.ai offering a free plan plus paid resume-screening tiers. Large enterprise platforms commonly require a sales quote.

Is AI suitable for resume screening?

AI can assist resume screening, but hiring technology needs careful testing, human oversight and attention to discrimination and accessibility risks. SortResume.ai specifically scores candidates against job-based criteria, while U.S. Department of Labor and EEOC resources highlight the need to manage risks when automated systems affect employment opportunities.