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AI in HR: What's Real
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The AI+HR Revolution Is Here
Every workforce shift needs a people leader to own it. This one is waiting for you.
Are you leading it, or cleaning up after it?
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AI & the Workforce: Clarity for Executives & Employees
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A Deep Dive into AI in the Workplace with Vinay Gidwaney, Chief Product Officer at OneDigital
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The HR Leader's Guide to Building an AI Strategy That Puts People First
Join OneDigital’s HR consulting experts for a practical conversation on what AI transformation really requires—and how leading organizations are getting it right. No hype, just where to start and what to prioritize.
- A people-first framework for introducing AI thoughtfully and aligning with business goals
- How to identify AI use cases that solve real workforce challenges
- Early actions to reduce risk across compliance, privacy, and data
Tuesday, April 28, 2pm ET
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People Strategy Drives AI Success
AI can boost productivity, but outcomes depend on how you prepare and support your workforce.
2.5x
Organizations investing in upskilling and reskilling are 2.5 times more likely to achieve positive AI outcomes.Technology alone doesn’t drive results—how you equip and enable your people does. Organizations that prioritize skill-building, manager readiness, and workforce adoption are better positioned to turn AI investments into meaningful business impact.
21%
Only 21% of companies have redesigned workflows to capture value from AI.At the same time, many organizations are still building readiness for employees to work effectively alongside AI—creating an opportunity to lead with a stronger people strategy.
Experience as our Credential
OneDigital is leading the way in AI adoption, having already transformed its own people practices and business operations.
That firsthand experience now helps organizations accelerate their AI workforce strategy with clarity, speed, and confidence. Many organizations are not starting from zero. They are starting from scattered tools, isolated pilots, and employees using AI without direction. OneDigital helps turn that activity into a unified, forward‑looking strategy.
You do not need every answer to begin. You need a clear starting point and a partner who has done this successfully at scale.
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DOWNLOADABLE RESOURCE
From Ad Hoc to Intentional: What a Real AI Workforce Strategy Looks Like
AI is creating real-world risks today: bias in hiring, privacy concerns, and high-stakes decisions without human oversight. Many small and mid-sized businesses still lack an AI strategy or acceptable use policy. This is a governance responsibility, guided by the leaders who oversee how people are supported and evaluated in your organization.
Use this checklist to manage AI responsibly—whether you’re just starting or refining your approach.
OneDigital's AI+HR Contributing Authors
Meagan KarryNational Practice Leader of Human Resources Consulting
Carrie AllenManager, HR Consulting
Scott WhamDirector of Compliance, Field
Jenni BedellHuman Resources Consulting Practice Leader of Tennessee and Carolinas
Maelyn MorrisonHuman Resources Consulting and Benefits Counsel
Lisa McKeownDirector, Total Rewards, Nonprofit Practice
Chris BarrientesManaging Consultant, HR Consulting
AI & the Workforce: Clarity for Executives & Employees
Most AI workforce initiatives don't fail because of bad technology; they fail because of unclear communication, misaligned expectations, and employees who feel left behind. This FAQ is designed to close those gaps: giving executives the framework they need to lead decisively, and giving employees the honest answers they deserve.
At its core, AI in the workplace means using software that can learn from data, recognize patterns, and make recommendations or decisions, without needing a human to program every step. Think of it this way: AI is already helping colleagues write job postings faster, flag a benefits plan that isn't being used, or predict which employees may be at risk of burnout. It's a tool, a very powerful one, and like any tool, its value depends entirely on how thoughtfully it's used.
An AI-ready organization doesn't have the most technology; it has the most clarity. Leaders know which problems they're trying to solve, employees understand how AI affects their work, and governance structures are in place before issues arise. AI-ready organizations share four traits:
- A defined AI strategy tied to business outcomes, not technology trends
- Clean, accessible workforce data that AI tools can actually use
- HR and Finance leaders who speak the same language around AI investment
- A culture where employees feel informed, not blindsided
» Executive Insight: The #1 barrier to AI adoption isn't technology, it's trust. Organizations that communicate clearly before, during, and after AI deployment see 2x faster adoption rates.
Fear about AI is almost always a communication gap, not a technology gap. Employees don't resist AI; they resist uncertainty. Your communication strategy should answer three questions every employee is silently asking:
- Is my job safe?
- Will I be trained and supported?
- Does leadership actually have a plan?
Best practices for executives rolling out AI initiatives:
- Announce the 'why' before the 'what', lead with business purpose, not product names
- Be specific about which roles AI will support vs. replace (if any)
- Provide a clear timeline with milestones that employees can anticipate
- Open a two-way feedback channel, town halls, pulse surveys, and manager Q&A guides
Before approving any AI workforce initiative, CFOs should demand answers to five financial clarity questions:
- What specific cost or productivity problem are we solving, and what's the baseline today?
- What is the fully-loaded cost (technology + integration + training + ongoing governance)?
- What does a conservative, realistic, and optimistic ROI scenario look like over 12, 24, and 36 months?
- What happens if we don't invest? What's the cost of inaction?
- How will we measure success, and who owns accountability?
Without these answers, an AI investment is a budget request, not a business case.
» CFO Framework: Target a 12–18 month payback period for operational AI tools (recruiting, scheduling, benefits admin). Strategic AI investments, predictive analytics, and workforce planning may warrant a 24–36 month horizon.
Role clarity is one of the most overlooked aspects of AI transformation. When AI handles the transactional, data entry, scheduling, and routine reporting, what remains must be redefined, not just redistributed.
A practical approach:
- Conduct a task-level analysis for each role, separating what AI can do from what requires human judgment, empathy, or creativity
- Redesign job descriptions to reflect augmented responsibilities
- Update competency frameworks to include AI fluency as a core skill
- Revisit compensation bands; augmented roles often deliver more value and should be priced accordingly
This is not just an HR exercise. Executives need to sponsor it, and Finance needs to fund the transition.
This is the most asked question, and it deserves a straight answer. AI will automate specific tasks, not entire roles. Jobs that consist mostly of repetitive, rule-based tasks will change significantly. But most roles will evolve rather than disappear, and many new roles will be created that don't exist today.
What this means for you:
- Focus on building skills AI can't replicate: critical thinking, communication, problem-solving, and relationship management
- Embrace AI tools as a way to work faster and more effectively. Employees who use AI well will be more valuable, not less
- Ask your manager and HR team about upskilling programs and career development pathways
Transparency is a right, not a privilege. Employees should know when AI tools are involved in decisions that affect their employment, including hiring screens, performance assessments, promotion eligibility, or benefits recommendations. What responsible AI governance looks like from an employee's perspective:
- You are informed when AI plays a role in a decision that affects you • A human manager or HR professional reviews and owns every final decision
- You have a clear process to ask questions or flag concerns
- Your data is used only for the purposes clearly communicated to you
If your organization doesn't yet have these standards, this is an important conversation to start with your HR team.
AI literacy doesn't mean becoming a data scientist. It means understanding enough about how AI tools work to use them confidently in your role. Start with three practical steps:
- Learn the tools your organization uses; most have free tutorials and built-in help guides. Thirty minutes a week adds up quickly.
- Experiment with general AI tools (like AI writing assistants or data summarization tools) in low-stakes tasks to build confidence.
- Ask your manager about formal learning programs; many organizations now offer AI upskilling as part of their benefits and development investment.
Remember: the goal isn't to master AI. The goal is to stay curious and adaptable.
Governance isn't bureaucracy, it's protection. For employees, it ensures fairness. For executives, it reduces legal and reputational risk. Every organization deploying AI in HR functions should establish:
- An AI Use Policy that defines what AI can and cannot decide independently
- A bias audit process for any AI tool used in hiring, performance, or compensation
- A data privacy framework that complies with applicable laws (CCPA, GDPR, state-level AI employment laws)
- A clear escalation path for employees who believe an AI-assisted decision was unfair
- An annual review cycle to update policies as AI capabilities and regulations evolve
» Compliance Watch: New York City's Local Law 144, the EU AI Act, and emerging U.S. federal AI guidance are creating a fast-moving regulatory environment. Your policies need to be living documents.
Clarity before complexity. Here's where to start:
- Establish a cross-functional AI task force, HR, Finance, IT, Legal, and an employee voice. Alignment at the table prevents conflict in the field.
- Audit your current state. What AI tools are already in use (often more than leaders realize)? What workforce data do you have, and is it clean? Where are your highest-cost workforce pain points?
- Communicate proactively. Don't wait until you have all the answers. Employees trust leaders who share what they know, acknowledge what they don't, and commit to keeping people informed.
OneDigital's workforce strategy consultants partner with HR leaders and CFOs to build AI roadmaps that are practical, compliant, and built around your people.