Courage to Emerge Triumphant, LLC

06/04/2026

After 25+ years in healthcare technology, product management, and executive consulting, I didn’t expect one of my biggest learning experiences with AI to come from a passion project.

Building Gather has been more than launching a website. It has become a hands-on way to strengthen my skills in AI-assisted product thinking, design, content creation, workflow experimentation, and community-centered technology.

I started with a real problem: Latter-day Saint single adults 36+ often have scattered event information, disconnected groups, and limited ways to connect.

AI helped me move faster, but it did not replace the work of strategy, discernment, product thinking, or empathy. It helped me ask better questions, test ideas, organize features, and move from concept to ex*****on in only 4 weeks.

This project has reminded me that technology is most valuable when it is built around real human needs.

I would love to connect with others exploring AI-enabled product development, community platforms, or practical ways to use AI to build and learn. You can check out the website at the link in my bio.

What are you building or learning with AI right now?

04/03/2026

AI expects clean data and predictable progress.

People don’t work that way.

There’s a relationship where Peter shows bold faith one moment…
and struggles the next.

He gets things right.
Then wrong.
Then right again.

And through it all, Jesus continues to teach, correct, and trust him.

Not because Peter was perfect— but because he was growing.

Leadership today requires patience.

Not everyone develops at the same pace.
Not every mistake is failure.

Because the leader AI can’t replace
is the one who stays committed to people through the process.

03/28/2026

Great day at the office and I managed to squeeze in a little recreation too 😊

03/24/2026

AI can optimize workflows.
But it doesn’t build trust.
There’s a moment where Jesus sends out seventy individuals to teach and serve—
not when they were perfectly ready, but when they were ready enough.
He gave them responsibility and authority. He trusted them to act.
And then He let them go.
In leadership, it’s easy to hold on—
to control outcomes, to double-check everything, to step back in.
But real leadership multiplies impact by trusting others to lead.
Because the leader AI can’t replace
is the one who develops and trusts people to rise.

03/18/2026

AI is becoming more autonomous, making AI governance essential. Governance is not a sexy word. Often the mere mention of the word conjures up visions of complex processes and blocks to innovation. But we can’t afford to dismiss governance or delay AI.

Agentic AI systems can make decisions, trigger actions, and automate workflows independently. That power does introduce risk if organizations don’t implement proper oversight and well integrated supporting systems and processes.

According to research, more than half of CEOs are delaying major AI investments until governance standards are established. Delaying investment isn’t the answer, accelerating governance standards is!

For healthcare organizations, the stakes are high. AI systems must align with:
• HIPAA compliance
• clinical safety standards
• regulatory oversight
• responsible data usage

Governance is not just a compliance requirement.

It is the foundation that allows organizations to scale AI safely and responsibly.

The organizations that succeed with AI will be those that treat governance as a strategic capability—not an afterthought.

03/12/2026

Everyone is talking about AI.

But the real question for healthcare organizations is not whether to adopt AI–It’s whether their data is ready for it.

Recent reports highlight one of the biggest barriers to AI ROI: unstructured and siloed data. This is an age-old problem for healthcare organizations. Without high-quality, well-organized data, AI systems simply lack the context needed to make reliable decisions.

Patient data often lives across:
EHR Systems
Revenue cycle platforms
Patient engagement tools
Analytic environments

If that data isn’t structured and interoperable, AI initiatives struggle to move beyond experimentation.

Before scaling AI, healthcare leaders should ask a simple question:

Is our data infrastructure ready to support AI-driven decision making?

In many cases the path to AI success actually begins with data strategy, interoperability, and data governance.




leadership

03/06/2026

11/26/2024

I just added another section of my book to the book reading playlist. I would love to hear your feedback. Here is the link to the playlist. 😊



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