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Teachable Learnable Solutions, 542103 Highway 1, Lake Ridge, VA (2026)

10/10/2026

Want more value from AI?

Stop treating implementation like an IT project.

McKinsey's 2026 research on AI transformation makes an important distinction: individual productivity gains don't automatically become lasting organizational advantage.

The organizations pulling ahead are redesigning workflows and treating AI transformation as organizational change, including skills, leadership practices, behaviors, and change management.

That's the shift.

AI transformation isn't:
Technology → Training → Done.

It's closer to:
Purpose → People → Process → Technology → Measurement → Improvement.

Here's where to begin:
→ Start with the business outcome.
→ Understand the work.
→ Listen to the people doing it.
→ Identify what creates value and what creates friction.
→ Then decide where AI actually belongs.

Sometimes AI will be the answer.
Sometimes process improvement will be the answer.
Sometimes the problem is leadership.
And sometimes the smartest move is to stop doing the work altogether.

Imagine your team six months from now, spending less time fighting broken processes and more time on the work that moves your mission forward.

Future Ready Leadership™ isn't about putting AI everywhere.
It's about putting it where it makes the organization better.

Technology changes fast. People make it matter.

𝗟𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻: 𝗜𝘀 𝘆𝗼𝘂𝗿 𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗶𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗶𝗻𝗴 𝗔𝗜, 𝗼𝗿 𝗿𝗲𝗱𝗲𝘀𝗶𝗴𝗻𝗶𝗻𝗴 𝗵𝗼𝘄 𝘄𝗼𝗿𝗸 𝗴𝗲𝘁𝘀 𝗱𝗼𝗻𝗲? 𝗧𝗲𝗹𝗹 𝗺𝗲 𝗶𝗻 𝘁𝗵𝗲 𝗰𝗼𝗺𝗺𝗲𝗻𝘁𝘀.

Ready to move from AI experiments to real organizational results? Send me a message with the words FUTURE READY, and I'll share how we help leaders redesign work around what matters most.

Repost this for a leader who's planning their AI strategy, and follow me for more Future Ready Leadership™.

10/09/2026

AI can give you an answer in seconds.

That doesn't make it the right decision.

As AI gets faster and more capable, one leadership skill becomes even more valuable:

Judgment.

AI can:
→ summarize information
→ identify patterns
→ generate recommendations
→ compare scenarios
→ challenge assumptions

But leaders still decide what matters, which risks are acceptable, whose perspective might be missing, and whether an answer makes sense in context.

PwC's 2026 Global AI Jobs Barometer found that AI exposed work is increasing demand for distinctly human capabilities, including judgment and leadership.

That matters.

The future ready leader isn't the one who accepts the fastest answer.
It's the one who knows when to ask another question:

"What are we missing?"
"What assumptions produced this answer?"
"Who could be affected?"
"Does this align with our values and objectives?"

AI can accelerate analysis.
It cannot remove leadership accountability.

The more powerful our tools become, the more intentional our judgment needs to be.

Notice the next time an AI answer feels finished. That's exactly the moment to pause and ask one more question.

Use AI to improve the decision. Keep the responsibility for making it.

Leadership question: Which decisions in your organization should always require meaningful human judgment? Share yours below.

Want your leadership team making faster, smarter decisions with AI without giving up the judgment that matters most? Send me a message with the words FUTURE READY, and let's talk about what that looks like for your organization.

Repost this for a leader who's navigating AI decisions right now, and follow me for more Future Ready Leadership™.

10/08/2026

You can have the right AI tools and still get the wrong results.

Why?

Because AI adoption happens inside a culture.

If employees are afraid to experiment, afraid to admit they don't understand something, unclear about what's permitted, or convinced AI is simply a headcount reduction strategy, adoption will look very different.

The technology didn't create those conditions.

𝗟𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽 𝗱𝗶𝗱.

Microsoft's 2026 Work Trend Index found that only 𝟮𝟲% 𝗼𝗳 𝗔𝗜 𝘂𝘀𝗲𝗿𝘀 𝘀𝗮𝘆 𝗹𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽 𝗶𝘀 𝗰𝗹𝗲𝗮𝗿𝗹𝘆 𝗮𝗻𝗱 𝗰𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝘁𝗹𝘆 𝗮𝗹𝗶𝗴𝗻𝗲𝗱 𝗼𝗻 𝗔𝗜.

That should matter to every executive leading transformation.

Before asking employees to embrace AI, leaders need to create clarity around:

Why are we using it?

Where should we use it?

Where shouldn't we?

How will success be measured?

How will employees be developed?

What happens when AI gets something wrong?

People don't just need access.

They need an environment where responsible experimentation, learning, questioning, and improvement are supported.

Your AI strategy may live in a document.

𝗬𝗼𝘂𝗿 𝗔𝗜 𝗰𝘂𝗹𝘁𝘂𝗿𝗲 𝗹𝗶𝘃𝗲𝘀 𝗶𝗻 𝘄𝗵𝗮𝘁 𝗲𝗺𝗽𝗹𝗼𝘆𝗲𝗲𝘀 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗲𝘃𝗲𝗿𝘆 𝗱𝗮𝘆.

Future Ready Leadership™ means making sure those two things match.

Leadership question: What message is your culture currently sending employees about AI?

Share your perspective.

Source: Microsoft, 2026 Work Trend Index

10/07/2026

Some of your employees may already be better at using AI than your organization is at leading it.

That's not a threat. It's an opportunity hiding in plain sight.

Microsoft's 2026 Work Trend Index found only 19% of surveyed AI users fall into its "Frontier" group, where individual AI capability and organizational readiness are both high.

Translation: people are moving faster than the systems around them.

Right now, someone on your team is quietly discovering:
→ a faster workflow
→ a sharper way to analyze information
→ a new answer to an old problem

But when policies, managers, workflows, and governance haven't caught up, that capability gets trapped.

The answer isn't controlling every experiment.
It isn't turning people loose without guardrails, either.

It's creating an environment where people can:
→ experiment responsibly
→ share what works
→ challenge inefficient processes
→ turn individual discoveries into organizational capability

That requires leadership.

Future ready organizations don't just develop AI capable employees. They build systems that capture what those employees learn.

Picture walking into next quarter knowing exactly who your strongest AI experimenters are, and what they've figured out that your whole team could start using tomorrow.

Don't let your most innovative people outgrow the organization around them.

Technology changes fast. People make it matter.

Leadership question: Do you know who your strongest AI experimenters are?

If not, that's a great place to start. Tell me in the comments how you're finding them.

10/06/2026

Some of your employees may already be better at using AI than your organization is at leading it.

That's not a threat. It's an opportunity hiding in plain sight.

Microsoft's 2026 Work Trend Index found only 19% of surveyed AI users fall into its "Frontier" group, where individual AI capability and organizational readiness are both high.

Translation: people are moving faster than the systems around them.

Right now, someone on your team is quietly discovering:
→ a faster workflow
→ a sharper way to analyze information
→ a new answer to an old problem

But when policies, managers, workflows, and governance haven't caught up, that capability gets trapped.

The answer isn't controlling every experiment.
It isn't turning people loose without guardrails, either.

It's creating an environment where people can:
→ experiment responsibly
→ share what works
→ challenge inefficient processes
→ turn individual discoveries into organizational capability

That requires leadership.

Future ready organizations don't just develop AI capable employees. They build systems that capture what those employees learn.

Picture walking into next quarter knowing exactly who your strongest AI experimenters are, and what they've figured out that your whole team could start using tomorrow.

Don't let your most innovative people outgrow the organization around them.

Technology changes fast. People make it matter.

Leadership question: Do you know who your strongest AI experimenters are?

Ready to find them and turn what they know into team-wide capability? Send me a message with the words FUTURE READY, and I'll share how my team helps leaders build that system.

If this sparked a thought, repost it for a leader in your network, and follow me for more Future Ready Leadership™.

10/05/2026

𝗔𝗜 𝗰𝗮𝗻 𝗱𝗼 𝗺𝗼𝗿𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗷𝘂𝗻𝗶𝗼𝗿 𝘄𝗼𝗿𝗸. 𝗕𝘂𝘁 𝘄𝗵𝗼 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝘀 𝘁𝗵𝗲 𝗻𝗲𝘅𝘁 𝗹𝗲𝗮𝗱𝗲𝗿?

For decades, emerging professionals built judgment through experience.

They researched. Drafted. Analyzed. Made mistakes. Received feedback. Watched experienced leaders make decisions. Then they gradually took on greater responsibility.

AI is changing that development process.

Tasks that once took hours can now be researched, summarized, analyzed, or drafted in minutes.

That can be great for productivity.

But leaders need to consider the other side of that equation:

𝗜𝗳 𝗔𝗜 𝗿𝗲𝗺𝗼𝘃𝗲𝘀 𝘀𝗼𝗺𝗲 𝗼𝗳 𝘁𝗵𝗲 𝘄𝗼𝗿𝗸 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝘄𝗵𝗶𝗰𝗵 𝗽𝗲𝗼𝗽𝗹𝗲 𝗹𝗲𝗮𝗿𝗻𝗲𝗱, 𝗵𝗼𝘄 𝘄𝗶𝗹𝗹 𝘁𝗵𝗲𝘆 𝗱𝗲𝘃𝗲𝗹𝗼𝗽 𝘁𝗵𝗲 𝗷𝘂𝗱𝗴𝗺𝗲𝗻𝘁 𝗿𝗲𝗾𝘂𝗶𝗿𝗲𝗱 𝘁𝗼 𝗹𝗲𝗮𝗱?

PwC's 2026 Global AI Jobs Barometer found that AI exposed junior roles are 7X more likely to require traditionally senior skills, including judgment and leadership.

That creates an interesting tension.

We're asking employees to demonstrate higher level capabilities earlier while potentially automating some of the experiences that traditionally helped develop those capabilities.

The answer isn't preserving outdated work.

It's 𝗿𝗲𝗱𝗲𝘀𝗶𝗴𝗻𝗶𝗻𝗴 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁.

Organizations may need more intentional mentoring, stretch assignments, decision making opportunities, coaching, and exposure to real business problems.

So before asking:

“𝗪𝗵𝗮𝘁 𝗰𝗮𝗻 𝗔𝗜 𝗱𝗼 𝗳𝗼𝗿 𝘂𝘀?”

Leaders should also ask:

“𝗪𝗵𝗮𝘁 𝗱𝗼 𝗼𝘂𝗿 𝗽𝗲𝗼𝗽𝗹𝗲 𝘀𝘁𝗶𝗹𝗹 𝗻𝗲𝗲𝗱 𝘁𝗼 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗳𝗼𝗿 𝘁𝗵𝗲𝗺𝘀𝗲𝗹𝘃𝗲𝘀?”

Efficiency matters.

So does building the people who will lead your organization next.

That's 𝗙𝘂𝘁𝘂𝗿𝗲 𝗥𝗲𝗮𝗱𝘆 𝗟𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽™.

Technology changes fast. 𝗣𝗲𝗼𝗽𝗹𝗲 𝗺𝗮𝗸𝗲 𝗶𝘁 𝗺𝗮𝘁𝘁𝗲𝗿.

𝗪𝗵𝗮𝘁 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗱𝗼 𝘆𝗼𝘂 𝗯𝗲𝗹𝗶𝗲𝘃𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 𝗹𝗲𝗮𝗱𝗲𝗿𝘀 𝘀𝘁𝗶𝗹𝗹 𝗻𝗲𝗲𝗱 𝘁𝗼 𝗵𝗮𝘃𝗲 𝗳𝗼𝗿 𝘁𝗵𝗲𝗺𝘀𝗲𝗹𝘃𝗲𝘀, 𝗲𝘃𝗲𝗻 𝗶𝗳 𝗔𝗜 𝗰𝗼𝘂𝗹𝗱 𝗱𝗼 𝗶𝘁 𝗳𝗮𝘀𝘁𝗲𝗿?

Share your perspective below.

If your organization is navigating AI adoption and workforce readiness, let's connect.

09/29/2026

𝗪𝗵𝗮𝘁 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗺𝗮𝗸𝗲𝘀 𝗮𝗻 𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗳𝘂𝘁𝘂𝗿𝗲 𝗿𝗲𝗮𝗱𝘆?

It's not having the newest technology.

It's not having the largest AI budget.

And it's definitely not putting “AI powered” on everything.

Technology matters.

But technology alone doesn't create transformation.

I believe four elements have to move together:

PEOPLE

Do your employees have the skills, confidence, support and leadership they need to adapt?

PROCESS

Are your workflows designed for how work needs to happen today?

Or are you digitizing yesterday's inefficiencies?

TECHNOLOGY

Are you selecting technology because it solves a real business problem and creates measurable value?

PURPOSE

Do your people understand what you're trying to accomplish, why the change matters and how their work contributes?

That's the framework:

PEOPLE + PROCESS + TECHNOLOGY + PURPOSE

When one is disconnected, transformation gets harder.

When all four are aligned, technology becomes an enabler of strategy rather than the strategy itself.

That's an important distinction.

Because the future ready organization isn't built around AI.

It's built to continuously learn, adapt and improve.

Give your organization a quick check:

𝗣𝗘𝗢𝗣𝗟𝗘: Ready or needs work?
𝗣𝗥𝗢𝗖𝗘𝗦𝗦: Ready or needs work?
𝗧𝗘𝗖𝗛𝗡𝗢𝗟𝗢𝗚𝗬: Ready or needs work?
𝗣𝗨𝗥𝗣𝗢𝗦𝗘: Ready or needs work?

Which one needs the most attention?

𝗗𝗿𝗼𝗽 𝗣𝗘𝗢𝗣𝗟𝗘, 𝗣𝗥𝗢𝗖𝗘𝗦𝗦, 𝗧𝗘𝗖𝗛𝗡𝗢𝗟𝗢𝗚𝗬 𝗼𝗿 𝗣𝗨𝗥𝗣𝗢𝗦𝗘 𝗶𝗻 𝘁𝗵𝗲 𝗰𝗼𝗺𝗺𝗲𝗻𝘁𝘀.

And if you're seeing gaps across several areas, 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 𝗺𝗲 “𝗙𝗨𝗧𝗨𝗥𝗘 𝗥𝗘𝗔𝗗𝗬.” We can talk about what organizational readiness could look like for your team.

09/29/2026

𝗢𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗳𝗮𝘀𝘁𝗲𝘀𝘁 𝘄𝗮𝘆𝘀 𝘁𝗼 𝗹𝗼𝘀𝗲 𝘁𝗿𝘂𝘀𝘁 𝗱𝘂𝗿𝗶𝗻𝗴 𝘂𝗻𝗰𝗲𝗿𝘁𝗮𝗶𝗻𝘁𝘆 𝗶𝘀 𝘁𝗼 𝗽𝗿𝗲𝘁𝗲𝗻𝗱 𝘆𝗼𝘂 𝗸𝗻𝗼𝘄 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝘆𝗼𝘂 𝗱𝗼𝗻'𝘁.

AI is evolving quickly.

Work is changing.

Roles are changing.

Expectations are changing.

And sometimes the most credible thing a leader can say is:

“𝗪𝗲 𝗱𝗼𝗻'𝘁 𝗸𝗻𝗼𝘄 𝘁𝗵𝗮𝘁 𝘆𝗲𝘁.”

But don't stop there.

Follow it with:

“H𝗲𝗿𝗲'𝘀 𝘄𝗵𝗮𝘁 𝘄𝗲 𝗱𝗼 𝗸𝗻𝗼𝘄.”

“𝗛𝗲𝗿𝗲'𝘀 𝘄𝗵𝗮𝘁 𝘄𝗲'𝗿𝗲 𝘁𝗲𝘀𝘁𝗶𝗻𝗴.”

“𝗛𝗲𝗿𝗲'𝘀 𝗵𝗼𝘄 𝘄𝗲'𝗹𝗹 𝗺𝗮𝗸𝗲 𝘁𝗵𝗲 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻.”

“𝗛𝗲𝗿𝗲'𝘀 𝘄𝗵𝗮𝘁 𝘁𝗵𝗶𝘀 𝗺𝗲𝗮𝗻𝘀 𝗳𝗼𝗿 𝘆𝗼𝘂 𝘁𝗼𝗱𝗮𝘆.”

“𝗛𝗲𝗿𝗲'𝘀 𝘄𝗵𝗲𝗻 𝘆𝗼𝘂'𝗹𝗹 𝗵𝗲𝗮𝗿 𝗳𝗿𝗼𝗺 𝘂𝘀 𝗮𝗴𝗮𝗶𝗻.”

That's leadership.

Future ready leadership isn't about predicting every change before it happens.

It's about providing 𝗰𝗹𝗮𝗿𝗶𝘁𝘆, 𝗱𝗶𝗿𝗲𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝘁𝗿𝘂𝘀𝘁 𝘄𝗵𝗲𝗻 𝗰𝗲𝗿𝘁𝗮𝗶𝗻𝘁𝘆 𝗶𝘀𝗻'𝘁 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲.

Your people don't need you to pretend you can predict the future.

They need confidence that you're paying attention, asking good questions, communicating honestly and prepared to lead them through what comes next.

𝗬𝗼𝘂 𝗱𝗼𝗻'𝘁 𝗵𝗮𝘃𝗲 𝘁𝗼 𝗸𝗻𝗼𝘄 𝗲𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴 𝘁𝗼 𝗹𝗲𝗮𝗱 𝗲𝗳𝗳𝗲𝗰𝘁𝗶𝘃𝗲𝗹𝘆.

But your people should know they can trust what you tell them.

Think about one uncertainty your team is dealing with right now.

Have you communicated what you know, what you don't know and what happens next?

If not, that's a leadership conversation worth having this week.

If you're developing leaders who need to navigate change with greater clarity and confidence, 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 𝗺𝗲 “𝗟𝗘𝗔𝗗.”

09/28/2026

𝗕𝗲𝗳𝗼𝗿𝗲 𝘆𝗼𝘂𝗿 𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗯𝘂𝘆𝘀 𝗮𝗻𝗼𝘁𝗵𝗲𝗿 𝗔𝗜 𝘁𝗼𝗼𝗹, 𝗮𝗻𝘀𝘄𝗲𝗿 𝘁𝗵𝗲𝘀𝗲 𝗳𝗼𝘂𝗿 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀.

Not ten.

Not twenty.

Start with four.

𝟭. 𝗣𝗘𝗢𝗣𝗟𝗘

Who will actually use this technology?

Do they understand why it's being introduced?

Do they have the skills and confidence to use it effectively?

𝟮. 𝗣𝗥𝗢𝗖𝗘𝗦𝗦

What business process are we trying to improve?

Have we examined the process before attempting to automate it?

Because automating a broken process can simply give you a faster broken process.

𝟯. 𝗧𝗘𝗖𝗛𝗡𝗢𝗟𝗢𝗚𝗬

Does this technology solve a clearly defined business problem?

Or are we buying it because everyone else seems to be talking about AI?

𝟰. 𝗣𝗨𝗥𝗣𝗢𝗦𝗘

What measurable outcome should be different six months from now if this implementation works?

More productivity?

Better customer experience?

Faster decision making?

Reduced administrative work?

Improved employee experience?

Be specific.

This is the framework behind how I think about future ready organizations:

𝗣𝗘𝗢𝗣𝗟𝗘 + 𝗣𝗥𝗢𝗖𝗘𝗦𝗦 + 𝗧𝗘𝗖𝗛𝗡𝗢𝗟𝗢𝗚𝗬 + 𝗣𝗨𝗥𝗣𝗢𝗦𝗘

AI readiness isn't about collecting tools.

It's about building the organizational capability to use technology intentionally, responsibly and effectively.

Before approving your next AI investment, put these four words on the whiteboard:
𝗣𝗘𝗢𝗣𝗟𝗘. 𝗣𝗥𝗢𝗖𝗘𝗦𝗦. 𝗧𝗘𝗖𝗛𝗡𝗢𝗟𝗢𝗚𝗬. 𝗣𝗨𝗥𝗣𝗢𝗦𝗘.

If your leadership team cannot clearly answer all four, there may be readiness work to do first.

Want to explore where the gaps are?

𝗠𝗲𝘀𝘀𝗮𝗴𝗲 𝗺𝗲 “𝗥𝗘𝗔𝗗𝗬” 𝗮𝗻𝗱 𝗹𝗲𝘁'𝘀 𝗵𝗮𝘃𝗲 𝗮 𝗰𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻 𝗮𝗯𝗼𝘂𝘁 𝘆𝗼𝘂𝗿 𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻'𝘀 𝗔𝗜 𝗿𝗲𝗮𝗱𝗶𝗻𝗲𝘀𝘀.

09/27/2026

𝗡𝗼𝘁 𝗲𝘃𝗲𝗿𝘆𝗼𝗻𝗲 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝗶𝗻𝗴 𝗰𝗵𝗮𝗻𝗴𝗲 𝗶𝘀 𝗿𝗲𝘀𝗶𝘀𝘁𝗮𝗻𝘁 𝘁𝗼 𝗰𝗵𝗮𝗻𝗴𝗲.

Sometimes they're giving you information you need to hear.

When an employee pushes back on a new technology, process or AI initiative, it's easy to label the reaction:

𝗥𝗲𝘀𝗶𝘀𝘁𝗮𝗻𝗰𝗲.

But what if it's something else?

Maybe the employee sees a workflow problem leadership hasn't noticed.

Maybe they don't understand why the change is necessary.

Maybe expectations haven't been communicated clearly.

Maybe training hasn't prepared them.

Maybe they've experienced initiative after initiative with little follow through.

Or maybe they're asking a legitimate question about how AI will affect their role.

Future ready leaders don't automatically dismiss those reactions.

𝗧𝗵𝗲𝘆 𝗶𝗻𝘃𝗲𝘀𝘁𝗶𝗴𝗮𝘁𝗲 𝘁𝗵𝗲𝗺.

Instead of immediately asking:

“W𝗵𝘆 𝗮𝗿𝗲 𝘁𝗵𝗲𝘆 𝗿𝗲𝘀𝗶𝘀𝘁𝗶𝗻𝗴?”

Try asking:

“𝗪𝗵𝗮𝘁 𝗶𝘀 𝘁𝗵𝗶𝘀 𝗿𝗲𝗮𝗰𝘁𝗶𝗼𝗻 𝘁𝗲𝗹𝗹𝗶𝗻𝗴 𝘂𝘀?”

Listen before assuming.

Explain before demanding.

Prepare before implementing.

And involve the people closest to the work.

Because sometimes the person asking the uncomfortable question isn't standing in the way of transformation.

𝗧𝗵𝗲𝘆 𝗺𝗮𝘆 𝗯𝗲 𝘀𝗵𝗼𝘄𝗶𝗻𝗴 𝘆𝗼𝘂 𝗲𝘅𝗮𝗰𝘁𝗹𝘆 𝘄𝗵𝗲𝗿𝗲 𝘆𝗼𝘂𝗿 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆 𝗻𝗲𝗲𝗱𝘀 𝘄𝗼𝗿𝗸.

Before your next major change initiative, ask your team:

“𝗪𝗵𝗮𝘁 𝗮𝗿𝗲 𝘄𝗲 𝗺𝗶𝘀𝘀𝗶𝗻𝗴?”

Then listen.

If your organization needs help strengthening leadership, workforce readiness or organizational change, 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 𝗺𝗲 “𝗖𝗛𝗔𝗡𝗚𝗘.” I'd be glad to talk about what you're navigating.

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