Hiten Bhuta demos AI agents for HR at SHRM Atlanta summit

Hiten Bhuta showed how AI agents can handle HR onboarding, policy questions and workforce analytics at SHRM Atlanta’s HR Forward summit on Sept. 18 at Georgia Tech’s CODA Tech Square. The demo reflected a bigger shift in HR software, where value is moving from seats and licenses toward workflows, outcomes and human oversight.

Why it matters: - HR leaders are being pushed to rethink how work gets done as AI agents take on tasks that once required employees to move through multiple software systems. - The shift could change how HR software is priced, purchased and measured, with more emphasis on completed work and business outcomes. - Core HR functions such as payroll, compliance and sensitive employee decisions still require human judgment and strong governance.

What happened: - Hiten Bhuta took part in SHRM Atlanta’s HR Forward: AI & Workforce Innovation Summit on Sept. 18 at Georgia Tech’s CODA Tech Square in Atlanta. - Bhuta presented during the Lunch & Tech Demos session from 11:45 a.m. to 12:30 p.m. - The demo showed AI agents supporting employee onboarding, policy Q&A and workforce analytics. - The summit brought together HR and business leaders focused on artificial intelligence, automation, workforce analytics, cybersecurity, governance, compliance, talent development and human capabilities in an AI-enabled workplace.

The details: - Bhuta tied the demo to a larger question for HR leaders: which workflows still need traditional user interfaces and individual software seats as AI begins performing more work across software systems. - ADP reports more than 1.1 million clients in more than 140 countries and payroll processing for more than 42 million workers worldwide. - ADP reported $21.9 billion in fiscal 2026 revenue. - Workday reported $9.552 billion in fiscal 2026 revenue. - Workday said its platform delivered 1.7 billion AI actions during fiscal 2026. - In Workday’s third-quarter fiscal 2026 earnings discussion, executives said 75% of new sales included an AI solution. - Gartner estimated in July 2026 that up to $234 billion of enterprise application SaaS spending could be exposed to “agentic arbitrage” by 2030, equal to roughly 20% of enterprise application SaaS spending. - The Gartner estimate applies to enterprise applications broadly, but the mechanism affects workforce technology because AI agents can work across systems through APIs and workflows without employees using every application directly. - Workday has described a move from employee-based economics toward a hybrid consumption model for AI through its Flex Credits model. - Zendesk has introduced outcome-based pricing for AI-agent resolutions. - GitHub Copilot moved toward usage-based AI credits in 2026. - Bhuta said, “The seat is no longer the only unit of value. AI agents are shifting HR software toward workflows and outcomes, while payroll, compliance and human judgment remain essential.” - Rules-based, forms-heavy and information-driven HR processes are increasingly suitable for AI-assisted workflows. - Employee onboarding questions, policy retrieval, information routing, recurring administrative requests and some workforce analysis can be handled through agents operating across existing systems. - Core payroll, regulatory compliance, sensitive employee decisions and systems of record remain higher-risk areas because accuracy, privacy, auditability, governance and human oversight are critical. - Workday announced a restructuring in February 2025 that initially contemplated eliminating about 8.5% of its workforce. - Company filings later showed the completed plan reduced the workforce by about 7.5%. - Workday announced a separate restructuring in February 2026 that affected about 2% of the workforce. - Those restructuring actions do not prove AI caused the reductions, but they show how major technology companies are reallocating people, capital and product priorities in an AI-driven enterprise software market. - Fortune Business Insights estimates the global HR technology market at about $46.3 billion in 2026.

Between the lines: - The Atlanta demo was less about replacing HR software and more about changing where value sits inside HR technology stacks. - The clearest opportunities for AI agents appear in repetitive, rules-based workflows where data can move safely across systems. - The most sensitive HR decisions still depend on governance, oversight and human accountability, which limits how far automation can go. - Bhuta’s broader work spans AI-agent development, workforce automation, AI training, Answer Engine Optimization, implementation planning and AI-powered business technologies through Cyberweb Hotel, LLC; CGS Infotech Solutions; and OpenClearFuture. - The goal is practical adoption, not automation for its own sake. - One possible next-step format is an educational program such as “Build Your First AI Agent for HR,” aimed at helping HR professionals move from AI awareness to a supervised workflow with data boundaries and human review.

What's next: - Bhuta’s team is open to AI-agent demonstrations, workforce AI training, responsible implementation, AEO, interviews and educational programs. - Organizations, HR associations, educational institutions and business leaders interested in follow-up discussions can contact Suraj Thakur, who is serving as media and collaboration coordinator. - The broader market will keep testing whether HR value is defined by seats, usage or outcomes as AI agents become more capable inside enterprise systems.

The bottom line: - HR is moving toward a model where AI agents handle more of the routine work, while people remain essential for judgment, compliance and oversight.