AI in the Workplace

AI delivers real business value when people and technology work together. See how to build an AI-ready workplace.

Creating an AI-Ready Workplace

You’re spending millions on AI. You’re testing tools, launching experiments, and running pilots—but still can’t see any ROI.

That’s because technology on its own won’t deliver the return you’re hoping for.

You need leaders who can guide AI transformation, people with the skills to use AI well, and a culture where teams have room to experiment.

Get those elements right, and you create what neither people nor AI can do alone.

People bring judgment and creativity. AI brings speed and scale. Together, they create value in ways that weren’t possible before.

Is your organization set up for AI success?

Scaling AI Pilots to Drive Performance

A strong pilot is one thing. Scaling AI across the business is a lot harder.

You can’t just layer AI onto existing structures and ways of working. That’s where many organizations get stuck.

Real impact comes when AI becomes part of how the business operates. That means redesigning work and reshaping the organization around new ways of working.

How to Assess Your AI Readiness

Getting AI to work across your business takes more than one change.

Our AI Readiness Diagnostic helps you understand where you are in your AI journey and what may be holding progress back.

It focuses on the areas that help AI move beyond pilots and into everyday work, including:

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    Strategy & Vision

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    Leadership

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    Organization Design

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    Workforce Skills

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    Culture

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    Movement Making

Your results show where you’re ready to scale AI and what to focus on next.

AI Leadership

Leaders set the tone for everything. If they’re unsure about AI, everyone else will be too.

AI-ready leaders bring confidence and clarity from the start. They move fast without being reckless, and they look beyond short pilots to build impact that lasts.

When the work gets difficult, they hold the vision steady.

That means learning as they go and creating an environment where others can do the same.

Organization

“The real ‘aha’ moment is realizing that AI is a way to transform work itself, not simply do the same work faster.”
Shanda Mints, VP, AI Strategy & Transformation, Korn Ferry

Organizations don’t become AI-ready by accident.

It starts with how work is designed. Jobs, roles, and decisions all need to reflect how people and technology come together.

With the right systems and data in place, AI can scale across the organization.

Get the design right, and AI becomes part of how the business runs. Get it wrong, and even the best technology sits unused.

Workforce

An AI-ready workforce has the skills and confidence to use AI in daily work.

People understand when AI removes friction and speeds up work. And they know when human judgment should lead.

They also have clarity on how their roles are changing and where they can grow.

That understanding helps people use AI in ways that improve the work itself.

Culture

“AI transformation moves faster when people and communities learn together.”
Mirka Kowalczuk, AI Strategy & Transformation Leader, Korn Ferry

Culture shapes whether people use AI or avoid it.

In AI-ready cultures, people feel safe to experiment and learn without worrying about getting it wrong. Curiosity is encouraged, and trust builds overtime.

AI becomes something teams use together, rather than something imposed on them.

Explore AI-Ready Culture

Movement Making

AI transformation needs momentum. People need to see what’s changing and why it matters. They also need to see how to start using AI in their own work.

Movement Making is Korn Ferry’s approach to helping organizations build that momentum. It brings together clear communication, visible leadership, and practical support so AI becomes part of everyday work.

That’s how change starts to stick.

How Korn Ferry Uses AI

Across Korn Ferry, teams use AI every day and are seeing practical results.

10,000+

people using AI tools across the organization

300+

ideas in our shared pipeline

7-12

hours saved on routine tasks every week

AI’s value is bigger than time saved. It shows up in better work and new opportunities.

That’s why we think about ROI as adoption multiplied by impact.

ROI = Adoption x Impact

Our own journey moved from scattered experiments to a firm-wide capability by helping teams learn from each other and build confidence using AI.

And we’re still learning.

AI Value for Our Clients

Korn Ferry helps organizations solve real problems by helping people and AI work better together.

75% reduction in cost-per-applicant for high-volume hiring.

- Global manufacturing business

Recruiter productivity nearly doubled, with 50% faster time-to-hire.

- International pharmaceutical organization

A clearer view of what to automate, with talent redeployed to high-impact roles.

- US-based energy company

These examples show how Korn Ferry helps companies create value from AI while keeping human judgment at the center.

AI in the Workplace Insights

Ready to Scale AI in the Workplace?

AI drives performance when people use it with confidence and work is built around it.

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FAQ

AI in the workplace is about using artificial intelligence to improve how organizations operate day to day.

AI can help automate routine tasks, support better decisions, and give people more time for activities that depend on judgment and relationships. But the real value comes from how people and AI collaborate in everyday tasks.

The organizations seeing the strongest results from workplace AI are not focused only on tools. They are helping leaders and teams adapt so AI becomes part of how the business operates across the organization.

AI is changing the workplace in practical ways. Routine work is becoming easier to automate, while employees spend more time solving problems, collaborating, and focusing on customers and strategy.

The bigger shift is how organizations are redesigning work itself. Roles, workflows, and leadership expectations are evolving as businesses rethink the relationship between people and AI.

That’s why conversations about AI and the future of work are increasingly focused on how work changes, not just the technology behind it.

For many organizations, the biggest opportunity with AI is giving people more time for higher-value work and helping the business create value in new ways.

But AI at work can create challenges too. Adoption may be uneven, or employees may feel uncertain about how AI will affect their role. Without trust and clear leadership, even strong technology investments can lose momentum.

Organizations make more progress when people understand why change is happening and have space to experiment as new ways of working take shape.

AI works best when people feel confident using AI in the workplace and work is designed to support it.

Preparing people for AI in the workforce starts with clarity. Employees need to understand how AI supports their work and when human oversight is still essential.

Training helps, but confidence matters too. People are more likely to adopt AI when leaders encourage experimentation and learning through practical use.

Strong AI workforce planning also helps organizations understand which skills and ways of working need to evolve as AI becomes part of everyday work.

As AI becomes part of everyday work, trust matters more. Employees want to understand how AI is being used and where human oversight still plays a role.

Responsible AI use means having clear governance around data, decision-making, and accountability. It also means making sure AI supports people rather than removing human judgment from important moments at work.

Leadership behavior shapes how people respond to AI. When leaders communicate openly, use the tools themselves, and make learning feel safe, trust builds much faster.

Confidence also grows through practical experience. Small wins and shared learning help people see how AI can support better work instead of creating uncertainty about the future.

Korn Ferry’s AI Readiness Diagnostic is an AI readiness assessment that helps leaders understand where teams feel confident using AI and where more support may be needed.