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.
Enrollment Options
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,

