• Proving AI ROI in HR: Moving Beyond “Time Saved” to Measurable Workflow Value
  • Proving AI ROI in HR: Moving Beyond “Time Saved” to Measurable Workflow Value

    • Speaker : Maya Reynolds
    • Session Code : MRJUN2625
    • Date : 26th June 2025
    • Time : 1:00 PM Eastern Time / 10:00 AM Pacific Time
    • Duration : 75 Mins

Overview:

 

Artificial intelligence has moved quickly into HR, but many organizations are now facing a harder question: what has it actually changed? HR teams are using AI to draft faster, screen faster, respond faster, summarize faster, and produce content faster. Yet speed by itself rarely satisfies a CFO, CEO, CHRO, or board when the real question is whether hiring improved, employee service became more reliable, managers executed better, costs were reduced, or risk was controlled.

 

Recent research makes that gap difficult to ignore. Gartner reported that 88% of HR leaders say their organizations have not realized significant business value from AI tools. SHRM’s 2026 research found that more than half of HR functions do not formally measure the success of AI investments. In recruiting, SHRM found that 89% of HR professionals using AI report time savings, while only 24% say it has improved their ability to identify top candidates. That gap is exactly where many HR AI pilots lose credibility: the team feels faster, but leadership still cannot see measurable workflow value.

 

This webinar is designed for HR, talent, HR operations, HR technology, and business leaders who need to move beyond adoption updates, usage dashboards, and “time saved” claims. The session will show how to evaluate AI through the lens of real workflow transformation: speed, quality, economics, outcomes, and trust. Attendees will learn how to separate local enthusiasm from enterprise value, identify hidden rework, avoid shifted-work illusions, and translate AI activity into leader-ready operating impact.

 

The program will focus on practical HR workflows where AI is already being used or considered, including talent acquisition, HR service delivery, manager enablement, and learning/capability development. Instead of treating AI ROI as a broad technology promise, the session will show how to define the workflow, establish a baseline, assign ownership, select meaningful KPIs, apply trust checks, and use a 90-day rhythm to decide whether to stop, fix, or scale a pilot.

 

Attendees will leave with a clearer way to answer the question every executive eventually asks: what changed for the business?

 

Areas Covered:

 

  • Why many HR AI pilots struggle to prove business value even when adoption appears strong
  • The difference between task-level efficiency and measurable workflow transformation
  • Why “time saved” can be a weak or misleading headline for AI ROI
  • How AI can shift work downstream to managers, HR specialists, or hiring leaders without showing up in pilot dashboards
  • How to translate AI activity into operating impact that executives can understand
  • The five lenses of HR AI value: speed, quality, economics, outcomes, and trust
  • How to build a one-page workflow scorecard for HR AI pilots
  • How to establish baseline data before launching or expanding an AI pilot
  • How to select one speed metric, one quality metric, and one outcome metric
  • How to define trust checks, human review rules, escalation pathways, and stop conditions
  • Recruiting and talent acquisition: measuring AI beyond faster shortlists and drafting support
  • HR service delivery: measuring first-contact resolution, avoidable escalations, and knowledge-base risk
  • Manager enablement: using AI to support documentation and feedback without replacing managerial judgment
  • Learning and capability: moving beyond content production and completion rates toward skill readiness
  • Why tool integration alone does not create durable adoption
  • The role of manager reinforcement, workflow fit, and lightweight governance in AI adoption
  • How to separate proven benefits from projected benefits in an AI business case
  • How to account for real costs, including training, process redesign, governance, and quality review
  • How to use a 90-day execution rhythm to decide whether to stop, fix, or scale an AI pilot
  • How to prepare an AI ROI case that can withstand a skeptical executive review

 

Handouts Included:

 

  • HR AI Pilot Workflow Scorecard
  • HR AI ROI Business Case Builder

 

Why should you attend?

 

AI is already being used across HR, but many teams are still struggling to prove whether it is actually improving the work. Faster drafting, faster screening, faster answers, and higher usage rates may look impressive in a pilot report, but executives want a clearer answer: did hiring improve, did service get better, did managers work more consistently, did costs or rework go down, and can the organization trust the results?

 

This webinar will help you move beyond broad AI excitement and build a practical way to measure real HR value. You will learn how to evaluate AI pilots through workflow impact, not just tool activity, and how to spot hidden problems such as shifted work, weak baselines, downstream rework, unclear ownership, and trust gaps that can make an AI initiative look successful on the surface while failing in practice.

 

Attend this session if your HR team is using, testing, or considering AI and needs a stronger way to defend the investment. You will leave with a practical scorecard mindset, a clearer business-case structure, and a 90-day rhythm for deciding whether an AI pilot should be stopped, fixed, or scaled.

 

Who Will Benefit?

 

This webinar is designed for HR, talent, people operations, HR technology, and workforce analytics professionals who are responsible for evaluating whether AI is improving HR work in measurable, defensible ways. It will be especially valuable for leaders and practitioners involved in AI pilots, HR workflow redesign, service delivery, talent operations, manager enablement, or HR business-case development; those include:

 

  • CHROs/Chief People Officers
  • VPs of Human Resources/VPs of People Operations
  • Directors of Human Resources/HR Transformation Leaders
  • HR Operations Leaders/People Operations Directors
  • HR Shared Services Leaders/HR Service Delivery Managers
  • HR Technology Leaders/HRIS Directors
  • HRIS Managers/HR Systems Managers
  • People Analytics Leaders/Workforce Analytics Managers
  • Talent Acquisition Leaders/Recruiting Operations Leaders
  • Talent Operations Managers/HR Business Partners
  • Senior HR Business Partners/HR Program Managers
  • HR Project Managers/HR Change Management Leaders
  • Learning and Development Leaders/Talent Development Managers
  • Manager Enablement Leaders/Organizational Development Leaders
  • Employee Experience Leaders/HR Compliance Leaders
  • HR Risk and Governance Professionals/AI Governance Professionals Supporting HR
  • HR Technology Implementation Consultants/People Analytics Consultants
  • HR Transformation Consultants/Human Capital Management Consultants

 

Maya “The Workflow Value Coach” Reynolds is a senior HR transformation strategist, people analytics practitioner, and HR technology advisor with deep experience helping organizations evaluate and improve technology-enabled people workflows.

 

Her work sits at the intersection of HR operations, talent strategy, people analytics, service delivery, workforce technology, and organizational change. She is especially focused on helping HR teams bring stronger measurement discipline to complex people processes, where success often depends on more than adoption rates, user satisfaction, or faster task completion.

 

Maya has worked with HR leaders, talent teams, HR operations groups, and people analytics functions to strengthen how they define workflow success, establish baseline data, interpret performance signals, and communicate business value to senior leadership. Her perspective is practical and measured, shaped by the reality that HR technology investments must be evaluated through quality, consistency, employee experience, manager execution, cost, risk, and trust.

 

She is known for translating complex HR technology and analytics issues into clear, business-focused language that HR professionals can use with executives, finance partners, and operational leaders. Her approach is grounded, cautious, and evidence-oriented—well suited for organizations trying to make smarter decisions about emerging AI capabilities without overstating what the technology can reliably deliver.



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Tags: AI in HR, HR AI ROI, HR Technology, People Analytics, HR Analytics, HR Operations, HR Transformation, AI Governance, HR Service Delivery, Talent Acquisition, Manager Enablement, Learning and Development, Workforce Analytics, HR Business Case, HR Compliance, Responsible AI, Maya Reynolds, June 2026,