Summary
AI agents have the potential to transform how human resources (HR) departments operate. From efficiency and productivity gains to reduced costs and employee empowerment, advanced technology provides teams the opportunity to reimagine the workforce.
Enhanced experiences: AI agents accelerate the onboarding process, support employee engagement efforts, assist with skills development opportunities and free staff from tedious, repetitive work.
Strategic balance: HR teams must maintain a human-in-the-loop framework to ensure that AI-generated recommendations align with company values and ethical standards, and mitigate legal and compliance exposure.
Core connections: Having a central system of record that seamlessly integrates with core line of business (LOB) systems limits content duplication and is crucial to a configurable, AI-powered operation.
Key benefits of AI agents in HR
A Boston Consulting Group survey of chief human resources officers (CHROs) showed that 70% of the organizations that were experimenting with AI or generative AI were doing so within HR. The reasons are many, and it starts with the organizations’ most important resources.
Improved employee experiences: Freed from time-consuming, repetitive tasks, HR leaders can focus on strategic initiatives. Agentic AI can also provide instant access and accurate answers to questions about such topics as benefits and compensation.
Increased productivity: AI agents streamline payroll processing, benefits administration, onboarding, performance reviews and rewards programs – boosting efficiency and allowing HR staff to spend more time on employee services.
Enhanced decision-making: With immediate access to data points and workforce trends, HR departments can make more informed decisions about hiring, promotions and employee retention.
Task automation: By automating routine inquiries and document processing, HR professionals can shift their time from administrative tasks to strategic programs such as talent development, engagement and workforce readiness.
Reduced operational costs: AI agents help companies handle high volumes of content and inquiries without adding administrative overhead. This can lead to cost savings in recruitment, onboarding and other operations.
Key capabilities and use cases of AI agents in HR
AI agents modernize human resources by automating document-centric workflows and routing complex exceptions. Key capabilities include accelerating employee onboarding, tracking real-time sentiment, creating performance development plans, processing leave requests and managing benefits administration. These intelligent tools integrate into core applications to streamline repetitive data work and improve process visibility.
Employee onboarding
HR departments can deploy AI agents to instantly process incoming resumes, extract relevant applicant data and sync that information directly into applicant tracking systems. Hyland IDP, for example, uses AI-powered document capture to ingest unstructured HR files, validate the data and route the documentation to the correct hiring manager for review. This eliminates manual handoffs between departments and significantly reduces time-to-hire metrics.
Employee engagement and retention
AI can personalize communication and support, and assess employee sentiment and engagement patterns. HR staff, meanwhile, can devote more resources to workplace culture, as workers seek more meaningful human connections.
Career and performance development
Employees can get real-time feedback on internal positions and skills development opportunities, while HR staff rely on AI agents to create actionable goals and career development plans. The technology can also assist with performance reviews, helping to gather feedback and create a rough draft, as employees and managers focus on in-depth conversations about expectations and room for growth.
Leave requests and approvals
AI agents can connect with existing systems to evaluate employees’ time-off balances against company policies in real time. When a worker requests leave, the agent verifies the data, updates the human capital management (HCM) platform and issues an approval or routes complex cases to a human supervisor. Employees get instant resolutions, and organizations maintain compliance with corporate policies.
Benefits administration
Agentic document processing automatically classifies payroll forms, benefits enrollments and expense reports. AI agents can predict coding requirements, validate line-item data and enrich documents before securely transferring the information to HCM systems.
Of organizations that are experimenting with AI or generative AI are doing so within HR
CHROs who are planning to reskill their workers to be more competitive in an AI-heavy market
CHROs who believe AI agents will empower them to reassign workers to more relevant roles
Best practices for AI agent deployment in HR
A successful deployment of AI agents in HR requires a strategic balance of advanced technology and human oversight.
Keeping a human in the loop ensures that AI-generated recommendations align with company values and ethical standards. AI agents can handle data extraction and initial processing, leaving HR professionals to review sensitive decisions regarding hiring, promotions and performance evaluations.
This framework enhances transparency, preserves human connection, and mitigates legal and compliance exposure.
Reimagine your workforce
The increase in AI agent adoption is also causing HR leaders to rethink how they structure the workforce. A Salesforce survey of 200 global HR executives showed that more than 80% of CHROs are or are planning to reskill their workers to be more competitive in an AI-infused market. Further, 89% believe AI agents will empower them to reassign employees to new, more relevant roles, and 88% believe redeployment is more cost effective than hiring outside the business for new roles.
Connect your core systems
HR departments can have a dozen — or even 30-plus — content repositories. That can lead to employee frustration, plus security and compliance risks.
To limit frustration and content duplication, Hyland Product Evangelist Tess Venhoff and Product Manager Stephanie Lavallee recommend storing documents in a central system of record. The enterprise content management (ECM) solution needs to be able to seamlessly integrate with core LOB systems to ensure data accuracy, visibility and workforce planning.
Hyland has integrations with HCM systems such as SAP SuccessFactors and Workday that allow HR teams to access and view information without leaving familiar screens. The integrations are configurable, AI-enabled and provide a modern user experience.

Harvard Business Review Analytic Services pulse survey insights
Going beyond traditional AI and toward agentic AI
Many organizations find themselves unprepared to harness the full potential of AI. This pulse survey from Harvard Business Review Analytic Services reveals that while 94% of leaders recognize the importance of well-connected data for AI success, only 27% have achieved it.
Implementation and risks
AI agents in HR can bring gains in efficiency, productivity and decision-making. The technology also comes with its share of risks.
Privacy and data security: Like their human counterparts, AI agents “can cause harm unintentionally, through poor alignment, or deliberately if they become compromised,” a McKinsey analysis said.
Unauthorized access to systems: Compromised agents can exploit internal trust to gain unwanted privileges, potentially turning a minor breach into a system-wide failure.
Legal and compliance exposure: Agents can exchange data autonomously, often bypassing traditional audit logs, making it almost impossible to track when personally identifiable information is shared externally. This can create a huge compliance blind spot.
Discrimination and algorithmic bias: AI agents are only as reliable — and fair — as the humans who program them and the data they are trained on.
Lack of transparency: Organizations should be clear about the decision-making processes of AI agents and ensure that there are steps for human intervention when necessary.
To better understand and manage the risks, and avoid unnecessary confusion, Hyland’s experts recommend starting with simple, high-impact use cases. Choosing the right tools (many legacy systems weren’t designed to operate with AI) and constantly monitoring and improving processes are also crucial.
The future of AI agents in HR
Despite the need to work faster and more efficiently, an overwhelming majority of CHROs say their organization hasn’t fully implemented agentic AI. They’re often operating in departments that have manual, paper-heavy work tied to applications, resumes and other documents.
With agentic document processing from Hyland, HR teams can deploy AI agents to perform tedious and complex jobs such as payroll automation, benefits administration and expense reporting.
With our help, you’ll shorten business cycles and generate measurable ROI by unifying content and decisioning across core systems.
FAQs
What is agentic automation and how does it differ from standard AI assistants?
Standard AI assistants are primarily reactive — they provide information or generate content based on a direct prompt. Agentic AI represents a shift toward autonomous entities that can reason, plan and execute multistep workflows across different systems, often without constant human oversight.
How do AI agents improve the HR recruitment process?
Agents can create job postings based on requirements identified by the organization and identify the applicants who are most closely aligned with the employer’s needs. Agents can also handle sourcing, screening and scheduling from start to finish, significantly reducing hiring times and guiding candidates through the application process.
How can AI agents assist with employee requests?
Self-service, via an AI agent that provides information, allows employees to quickly find the answers they need and can be an easy win for HR teams. AI assistance also helps employees with automated tasks and provides resolutions to issues. This is especially helpful to new employees who are going through onboarding and aren’t familiar with the organization’s processes.
How do we determine which actions require a human-in-the-loop checkpoint?
Organizations should categorize agent actions based on their potential impact on the business. High-impact actions — such as any transaction exceeding a specific dollar threshold or the deletion of permanent records — should trigger a mandatory human approval. By setting these confidence thresholds within Hyland Automate, you ensure that agents handle the repetitive work while humans retain oversight of critical business decisions.
How can AI ensure fairness and compliance in HR processes?
AI can mitigate bias in hiring and help maintain fairness and compliance in performance evaluations, promotion decisions and compensation adjustments. AI can remove human subjectivity and analyze data objectively, reducing the risk of subjective decisions and helping ensure that all employees are evaluated fairly based on their performance and contributions.

Article
How AI is changing HR for the better
Explore the benefits and challenges of implementing AI in HR and solutions that support human-AI collaboration for efficiency, compliance and enhanced decision-making.

Article
Five steps to reclaim HR's role as a strategic partner
Unlock your HR department's strategic potential with an enterprise content solution, empowering them to focus on your organization’s most important asset: Your people.

Article
Navigating agentic AI risks: A framework for resilient autonomy
Navigating agentic AI risks: A framework for resilient autonomy

Article
Real-world agentic AI use cases by industry
Explore real-world agentic AI use cases across healthcare, finance, HR and more. See how AI agents can automate workflows, lower costs and accelerate business growth.

