Welcome to the official YouTube channel of Dan Leiva, author of *AMPLIFIED: The Operator's Playbook for Scaling Human Potential in an AI World*.
With 25+ years of leadership experience across customer experience, product, engineering, technology operations, CRM, payments, and marketing technology, Dan shares practical insights on leading in an AI-powered world.
Explore content on:
✅ AI Governance & Accountability
✅ Leadership & Decision-Making
✅ Customer Experience (CX)
✅ Digital Transformation
✅ Human-Centered Innovation
✅ Operational Excellence
✅ Keynotes, Interviews & Thought Leadership
Dan's guiding principle:
**Automate facts. Keep people for opinions.**
Subscribe to learn how leaders can amplify human potential, scale responsibly with AI, and create better outcomes for customers, employees, and organizations.
📘 Author of *AMPLIFIED*
🎤 Available for speaking engagements, conferences, and podcasts
Dan Leiva
Who Pays When AI Gets It Wrong?
Everyone wants to know:
“How much efficiency will AI create?”
Operators need to ask another question:
“Who absorbs the cost when it doesn’t?”
The customer?
The frontline employee?
Your reputation?
Your best people?
Efficiency has a cost somewhere.
Know who’s paying it.
Dan Leiva, AMPLIFIED
2 months ago | [YT] | 1
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Dan Leiva
“In business, we often focus on what we want people to hear, rather than taking the time to understand what they are trying to tell us. AMPLIFIED changes that perspective. Dan Leiva shows that listening is not a passive exercise, but one of the most powerful tools for leadership, innovation and growth. This is a thoughtful and important book from someone who has built a remarkable career turning the customer’s voice into meaningful change.”
Dr. Sam Amory, Author and International Executive Advisor in AI, Healthcare and Longevity #testimonails #whatothersaresaying about #Amplified #BookReview
3 months ago (edited) | [YT] | 2
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Dan Leiva
What AI Can't Replace
AI is good at facts.
People are good at what facts mean.
AI is good at speed.
People are good at trust.
Design accordingly.
#AMPLIFIED #AILeadership #HumanPotential
3 months ago (edited) | [YT] | 2
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Dan Leiva
The Authority Gap in Human-in-the-Loop ceoworld.biz/.../the-authority-gap-in-human-in.../ via
@CEOWORLD
magazine #DanLeivaintheNews #CXAmplify
3 months ago (edited) | [YT] | 1
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Dan Leiva
🇺🇸⚽ WORLD CUP 2026 IS HERE! ⚽🇺🇸
The world is watching.
The pressure is on.
The stakes have never been higher.
Championship teams aren't built on talent alone—they're built on leadership, discipline, accountability, and the ability to perform when the moment demands it.
That's true on the pitch.
And it's true in business.
As the USA takes the world stage, remember:
🏆 Great teams are amplified by great leadership.
🏆 Great organizations are amplified by great people.
🏆 Great results come from preparation long before game day.
Who are you cheering for in the FIFA World Cup 2026?
🇺🇸 USA?
🇮🇳 India?
🏴 England?
🇧🇷 Brazil?
🇦🇷 Argentina?
🇫🇷 France?
Drop your team in the comments! 👇
#WorldCup2026 #FIFAWorldCup #USA #USMNT #DanLeiva #AmplifiedBook #Leadership #Teamwork #WinningMindset #HumanPotential #AILeadership #FutureOfWork #OneNationOneDream #Wo
4 months ago (edited) | [YT] | 1
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Dan Leiva
When Systems Scale Faster Than People: A Leadership Story About Holding the Line
A leadership story about scaling operations, and demonstrating how clear decision boundaries, accountability, and culture helps teams to adapt without losing trust.
The alert came in just after 2:17am. This alert did not signal that there was a system outage, it showed something worse. Everything was working exactly as it was designed to. But that was the problem.
www.thoughtleadersllc.com/2026/06/when-systems-sca…
4 months ago (edited) | [YT] | 1
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Dan Leiva
The average Fortune 500 company now runs 37 AI agents.
Only 10% have a governance strategy to manage them.
That is not a stat you file away for the next board deck. That is what is happening inside most large enterprises right now.
Microsoft's 2026 Cyber Pulse report made it plain. More than 80% of Fortune 500 companies have AI agents running in production. Sales workflows. Finance systems. Customer service queues. Product pipelines. Not experiments. Production systems making real decisions at machine speed.
More than half of them operate without security oversight or logging.
Think about what that means.
The governance frameworks these companies spent decades building were designed for people. Defined roles. Reporting lines. Documented authority. AI agents do not work that way. They chain actions across systems. They run continuously. They act faster than any approval process can follow.
This is not shadow IT. Shadow IT was someone installing Dropbox without telling the CIO.
This is shadow decision-making. Systems acting on customers, revenue, and risk with no named person accountable for what they produce.
Recently, an AI agent gained elevated permissions and deleted an entire production database in nine seconds. Customer data. Reservations. Backups. Gone before anyone saw an alert.
Every governance framework at that organization was technically in place. None of it was built for something that moves that fast.
I keep seeing this pattern play out.
The deployment conversation is about capability. The governance conversation is still about compliance checklists. Those two conversations are happening in different rooms.
So what actually has to be true before you scale past a handful of agents?
You need a named owner for every agent. Not a team. Not a role. A person who can explain what the agent does, what authority it has, and what happens when it gets it wrong. If you cannot name that person in 60 seconds, ownership is not real.
You need decision boundaries. What the agent can do on its own. What requires a human. What it cannot do at all. Class 1, Class 2, Class 3. If the boundaries are not documented, they do not exist.
And you need an override path. A way for a human to stop the system and investigate without asking for permission first. If the override takes longer than the agent takes to act, that is not an override. That is a post-incident review.
The organizations that lead in the agentic era will not be the ones running the most agents.
They will be the ones who can tell you who owns each one.
At 37 agents per enterprise, the question is not whether you need governance.
It is whether governance can find your agents before the next incident does.
CXAmplify #AIGovernance #AI #AMPLIFIED
5 months ago | [YT] | 1
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Dan Leiva
AI: From Human-in-the-Loop to True Human Authority
For successful AI deployment, engineers must design operating models, accountability structures, and measurement systems that preserve human judgment.
Managers of AI should explicitly classify every AI-enabled decision before deployment.
By Dan Leiva Author of Bestselling AMPLIFIED
Happy to have my article picked up by Design News today, check it out www.designnews.com/.../ai-from-human-in-the-loop...
#Amplified #AISuccess #AmplifiedIntheNews #cxamplify
5 months ago (edited) | [YT] | 1
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Dan Leiva
5 months ago | [YT] | 0
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Dan Leiva
5 months ago | [YT] | 1
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