Aikerson Consulting Group, Inc.

08/22/2026

🚀 Scaling AI from a pilot to enterprise-wide adoption sounds simple. It isn’t.

It’s relatively easy to find a promising AI use case, build a project team, run a pilot, and prove that the technology works.

The real challenge begins when leadership says:

“Now let’s scale it across the enterprise.”

Because scaling AI isn’t just about deploying technology to more people.

It means asking more people to change how they work.

Workflows change.
Roles and responsibilities shift.
Questions about job security emerge.

And your workforce won’t respond the same way.

Some employees will become early adopters and embrace AI immediately.

Others will be wait-and-see employees—using the technology when required but never truly adopting it.

And some will resist change and find ways to continue working the way they always have.

Then executives start asking:

“Why aren’t we seeing the results we expected?”

The answer may not be the technology.

Your organization may simply not be ready to work differently.

That’s why workforce readiness needs to be evaluated with the same seriousness as technical readiness.

💡 AI implementation is a technology initiative.
AI adoption is a leadership initiative.

If you're ready to move beyond the pilot and build sustainable AI adoption, let’s talk.

📅 Schedule your Pivotal Path Strategy Call today:
www.ConnectWithLaShanya.com

08/21/2026

What does poor AI adoption actually cost?

Most organizations can tell you exactly what they spent on the technology.

But can they tell you what they’re losing when employees don’t actually change how they work?

Imagine you’ve implemented an AI solution designed to improve productivity.

The technology is available.
Employees have been trained.

But adoption is inconsistent.

Some employees embrace it.
Some use it occasionally.
Some use it only when required.
And others quietly continue working exactly as they did before.

Now you have two ways of working operating inside the same organization.

That’s where the hidden costs begin:

→ Lost productivity
→ Duplicate work
→ Employee frustration
→ Delayed ROI
→ Increased inefficiency

Low AI adoption isn’t simply a people problem. It’s a business performance problem.

And the longer it continues, the more expensive it can become.

If you’re preparing to approve your next AI initiative, don’t just ask:

“What will this technology cost?”

Ask:

“What will poor adoption cost us?”

Let’s discuss your AI initiative.

Schedule your Pivotal Path Strategy Call today:
https://lnkd.in/gBhTGPZ

🎥 Watch the video:
https://lnkd.in/ehgjipj9

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08/20/2026

The Technology Is Only Part of the Transformation.

I learned this while helping a client through a major technology transformation that impacted approximately 80,000 employees.

The technology implementation was a massive effort.

But the bigger question was:

How do you get 80,000 people to embrace a completely new way of working?

And more importantly:

“What does this actually mean for me?”

That question mattered to employees even more than the technology itself.

We knew that simply announcing the new platform, providing training, and hoping adoption would follow wasn’t enough.

So we deliberately focused on the human side of the transformation.

We built a comprehensive approach around adoption before implementation, during implementation, and after implementation.

The result?

Approximately 80% adoption.

And that experience taught me something I believe every Healthcare Technology executive should remember:

Adoption doesn’t happen when you go live.

It doesn’t happen because you sent an email.

And it certainly doesn’t happen just because the technology works.

Adoption is built deliberately.

Today, that lesson matters even more with AI.

AI isn’t simply another enterprise system employees have to learn. It can change how people think, make decisions, solve problems, communicate, and even understand the value they bring to their organization.

That is a much bigger transformation.

So if you're leading an AI initiative, don’t build only an implementation plan.

Build a comprehensive adoption strategy.

The technology may be powerful.

But the people determine whether it creates lasting impact.

Let’s discuss what this could look like within your organization.

Schedule your Pivotal Path Strategy Call:
https://lnkd.in/gBhTGPZ

08/19/2026

AI Implementation: Dealing with Employee Resistance

If you are an executive implementing AI, I want to challenge a phrase I often hear during organizational transformation:

“Our employees are resistant to this AI implementation.”

Maybe.

As the creator of The Pivotal Path™ to the Human Side of AI Transformation and known as The Workforce Transformation Architect, I challenge you to ask a different question:

What are my employees responding to?

What looks like resistance may actually be something very different.

It may be uncertainty:
“Will this AI eventually replace what I do?”

It may be a lack of confidence:
“Everyone else seems to understand this. What if I can’t keep up?”

It may be frustration:
“I’ve already adapted to three major changes this year. Now there’s another one?”

It may even be distrust:
“Leadership says this will help us—but what aren’t they telling us?”

Those aren't technology problems.
They are human problems.
They are human responses to uncertainty.
And here’s why this distinction matters:
The wrong diagnosis may lead to the wrong prognosis.

Sometimes, what looks like resistance is actually valuable information about what employees are experiencing, what they fear, and what they need from leadership.

The question isn't simply:

“How do we overcome resistance?”

It may be:

“What is the resistance trying to tell us?”

If you are ready to address the human side of The Pivotal Path™ to the Human Side of AI Transformation, let’s talk.

🔗 Schedule your Pivotal Path Strategy Call today:
https://lnkd.in/gBhTGPZ

🎥 Watch the video:
https://lnkd.in/eHeNQ2T8

08/18/2026

AI won’t just transform your organization.
It may expose it.

When we talk about AI transformation, the conversation often goes straight to the technology.

Productivity.
Efficiency.
Innovation.
Automation.
ROI.

But there’s another side of AI that organizations need to be ready for:

AI has a way of revealing the things that were already happening inside your organization.

If employees don’t trust leadership, AI can expose it.
If departments work in silos, AI can expose it.
If people are afraid to admit they don’t understand something, AI can expose it.

If managers struggle to communicate when there’s uncertainty, AI can expose it.
And if employees have learned that it’s safer to maintain the status quo than to experiment, AI can expose that too.

The technology didn’t create these problems. It revealed them.

Now imagine two organizations implementing the exact same AI technology.

In one organization, employees feel comfortable asking questions. Leaders are willing to say, “I don’t know yet.” Managers encourage experimentation. People can make mistakes while learning without feeling like their credibility is on the line. Teams openly share what they’re learning, and employees trust leadership to communicate honestly about what AI means for their future.

Now imagine another organization. Employees don’t trust leadership. Managers avoid difficult conversations. Departments protect information. People are afraid of looking incompetent
and employees have already seen transformation initiatives introduced with excitement, only to quietly disappear months later.

Same technology.
Very different culture.
Very different outcome.

So, when you evaluate your organization’s readiness for AI, don’t only ask:

“Do we have the technology?”

Ask:
“Are our people and our culture ready for what the technology will reveal?”

For Healthcare Technology executives especially, AI readiness has to go beyond technical readiness.
It requires looking at the Human Side of AI Transformation.
Because ultimately, AI adoption isn’t just a technology challenge.
It’s a leadership and human challenge.

What is your organization discovering about itself as AI moves forward?

Let’s discuss your AI initiative. Schedule your Pivotal Path Strategy Call today:

https://lnkd.in/gBhTGPZ

08/15/2026

Everyone in the executive meeting said YES to AI.

But here's the question:

Did everyone mean the same thing when they said yes?

Imagine you're sitting in an executive meeting discussing your organization's AI strategy.

The business case makes sense.
The investment is approved.
The implementation is moving forward.
Everyone agrees.

You leave thinking:

“Our leadership team is aligned.”

But are they?

One executive sees AI as a way to increase productivity.

Another sees it primarily as a cost-reduction strategy.

Another is thinking about innovation.

Another is focused on competitive advantage.

And someone else may quietly be wondering what AI will ultimately mean for headcount.

Everyone voted yes. But they may be telling very different stories about why the organization is changing.

And when those different messages travel down through the organization, employees receive mixed signals.

That's where an invisible problem can begin—and it can ultimately affect your AI ROI.

Leadership AI alignment has to go deeper than agreement.

💬 Here's the question for you:

If you were leading an AI initiative, which would be the most important thing for your leadership team to align on first?

A. Productivity
B. Cost reduction
C. Innovation
D. Competitive advantage
E. Workforce impact

👇 Drop your answer in the comments. I'm curious which one comes out on top.

If you're leading an AI initiative and want to explore the human side of AI transformation, let's talk.

Schedule your Pivotal Path Strategy Call:
https://lnkd.in/gBhTGPZ

08/13/2026

You can successfully implement AI and still fail to get the return you expected.

That’s the part of AI transformation we don’t talk about enough.

You can invest in the technology.
Complete the implementation.
Provide the training.
Launch the solution.

And yet, six months later, adoption may still fall short.

Some employees embrace the technology. Others use only a fraction of its capabilities. And some may develop entirely different ways of working that were never part of the original plan.

The technology may have been successfully deployed—but the business isn't getting the return it expected.

DEPLOYMENT DOES NOT EQUAL ADOPTION.

The business case for AI often assumes one critical thing:

People will actually change how they work.

Successful AI transformation isn't just about implementing the right technology. It's about helping your workforce understand, trust, and adopt the change.

If your organization is investing in AI and workforce adoption matters to you, let's have a conversation.

👉 Schedule your Pivotal Path Strategy Call:
https://lnkd.in/gBhTGPZ

08/10/2026

AI adoption isn’t just a technology challenge—it’s a people challenge.

Many organizations invest months choosing the right AI tools, platforms, and systems. But here’s the question that often gets overlooked:

👉 Is your workforce actually ready to embrace AI?

Employees need more than access to new technology. They need clarity, confidence, and trust to understand how AI impacts their work—and why it matters.

The organizations seeing the greatest return from their AI investments understand this:

Technology implementation is an IT initiative.
Workforce adoption is a leadership responsibility.

If AI adoption is one of your strategic priorities, let’s talk about how you can:

✔️ Reduce resistance
✔️ Accelerate workforce adoption
✔️ Build confidence around AI
✔️ Maximize your return on AI investment

💬 Is your organization ready for AI—or is your workforce ready for AI?

Schedule your Pivotal Path Strategy Call: https://lnkd.in/gBhTGPZ

07/24/2026

https://www.linkedin.com/posts/lashanyaaikerson_attention-healthcare-technology-executives-share-7486446608587591680-QbuJ/?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAFwXiwBXXrN5yyiZcyWWYRFYBTsOt4zJkQ

Attention Healthcare Technology Executives, Before launching your next AI initiative, consider answering these four questions first: 1. Are leaders aligned on our AI vision? 2. Have we taken steps to actively prepare middle managers? 3. Does the workforce understand what's changing? 4. What specific...

07/04/2026

We wish you a joyful and safe 4th of July. Happy Independence Day!