Andreas Welsch

Andreas Welsch is an internationally recognized top 10 Agentic AI leader and one of today’s most sought-after thought leaders and keynote speakers for business and technology audiences. With over two decades of global leadership experience, previously as Vice President at SAP, Andreas has helped Fortune 500 companies cut through AI hype to deliver measurable business outcomes.

He is the Founder and Chief Human Agentic AI Officer of AI consulting firm Intelligence Briefing, the best-selling author of the AI Leadership Handbook and The HUMAN Agentic AI Edge, and a leading voice on AI strategy, adoption, and transformation. 

At the heart of Andreas’s work lies a clear value proposition: he helps business leaders understand how to apply AI responsibly, effectively, and profitably by addressing the questions that decision-makers face:

• How do we turn AI into business value, not just experimentation?
• How can we prepare our workforce for AI-driven transformation?
• How can we empower our teams to use AI without creating AI workslop?
• What practical steps can we take to avoid ethical, operational, or financial pitfalls?

Andreas’s keynotes and workshops are known for their clarity, strategic relevance, and deep insight. Drawing from more than two decades in the software industry, he offers real-world frameworks and practical steps tailored to leadership audiences. He introduces leaders to AI agents, leading hybrid teams of humans and AI, and AI-driven business models, explaining not only what’s next, but what matters most and why.

During his tenure at SAP, Andreas accelerated the integration of AI across enterprise applications and positioned SAP as an AI leader. He brings first-hand experience and a global perspective to every business and has been named a LinkedIn Top Voice, Thinkers360's Top 10 Thought Leader in AI, Generative AI, and Agentic AI, The Futurum Group's Top 14 AI Influencer, PEX Network’s Top 30 AI Leader, and SwissCognitive’s Top 50 Global AI Ambassador.

His work has appeared in CIO.com, VentureBeat, InformationWeek, and the American Management Association. He serves on the Editorial Board of the Journal of AI, Robotics and Workplace Automation and as an adjunct professor at West Chester University of Pennsylvania.

For leaders looking for clarity, action, and strategy, Andreas delivers a transformative experience beyond the hype. Follow his “What’s the BUZZ?” podcast and newsletter, “The AI MEMO”, and work with Andreas to turn hype into outcome for your business.

Vice President & Head of Marketing & Solution Management — Artificial Intelligence

Defined GTM and product marketing for Artificial Intelligence (AI) across SAP’s product portfolio, incl. AI Business Services on SAP Business Technology Platform in the context of embedded AI capabilities and intelligent process automation via Robotic Process Automation (RPA) and low-code/ no-code offering. Led global team of product marketers and solution managers

“Is your hand getting tired?” attendees asked.
“You should have a stamp,” others joked. 
But that would circumvent the HUMAN aspect and authenticity. 

For two hours straight, attendees waited in line to receive their signed copy of The HUMAN Agentic AI Edge on launch day yesterday.

I signed each one of the 300 books with:
Stay HUMAN. 
Get AI-Ready.

Sounds great, doesn’t it? But it was the little chats here and there, the feedback on my closing keynote, and talking about the good old days with former colleagues, that added the HUMAN touch.


If you haven’t gotten your copy yet, you can get it on Amazon for a 90% launch discount!


A special shout-out to Paul Kurchina, the mastermind behind the annual “Next Generation SAP Enterprise Architect Community Learning Forum,” master connector, and extraordinary supporter!

#ArtificialIntelligence #AgenticAI #IntelligenceBriefing

I signed 300 books at the big launch this week, but this interaction made an impression on me:

Jade was running the bar and serving customers. When the book line was short, she came over, and I signed a copy for her. She asked about my self-publishing process and mentioned that she has published three books on Amazon. As I was breaking down the banners and stowed them away at the end of the event, Jade came over again. 

“Can I say something?” she asked. 

I was curious, but wasn’t quite sure what was on her mind. 

“Successful people need to hear this, too: I am proud of you!”

I didn’t expect to hear these words.

A dozen thoughts rushed through my head: 
How nice of her to come over to say that. Successful? Proud of ME?

All I could think to say was: “Thank you so much.”

But I’ve been thinking about that interaction and her words for the rest of the week.


Let’s all be a little more like Jade, and be a little more HUMAN. 


PS: Read or listen to the best-selling The HUMAN Agentic AI Edge on Amazon or Spotify.

#ArtificialIntelligence #AgenticAI #IntelligenceBriefing

📘 NOW AVAILABLE: The HUMAN Agentic AI Edge! 
When AI becomes the next “easy button,” leaders need to set expectations with their teams early. 

Otherwise, low-quality, sloppy results creep in, and performance, skills, and reputation degrade.

Between the triad of standards, guardrails, and readiness lies the real work that leaders need to do now, beyond “giving everyone Copilot etc.”

Let’s face it: team members are not off the hook doing their best work. They never were.

Like a senior manager recently shared with me: “Now, I’m getting all these meeting summaries and action items from my team members. I don’t have time to go through all of them.”

Creating is easy. Filtering and prioritizing are the new bottleneck for most leaders.

In the book, you will find the frameworks, anecdotes, and examples that help you empower and encourage your team to use AI responsibly while remaining accountable and high-performing.


Today is the official book launch together with 500 IT leaders at the Next Generation SAP Enterprise Architect Community Learning Forum—keynote and book signing included.


In case you are not on-site, you can get your copy on Amazon for the special launch offer!


Stay HUMAN. Become AI-ready.

And celebrate the big launch with me!

#ArtificialIntelligence #AgenticAI #Leadership

How do you measure the success of a launch?
Whatever your answer, launch day is intense. 
Whatever your product or service, you prep and prep, and prep…and hope for the best. 

Once the launch is on, market reception and feedback are largely out of your hands.

What applies to software and category launches applies to book launches, too. 

On Wednesday, I was checking the category rankings to see how The HUMAN Agentic AI Edge was moving up in the three categories I selected for the launch. 

But it wasn’t. 

It sat at rank #76 all morning and afternoon.
I was getting nervous. Had I missed to activate even more parts of my network? Was everyone just too busy during the day (or had forgotten about buying the book)?

Was the number of sales not enough to make even a slight dent?

Then, one of my friends texted me. 
“Your book is #3 in the charts!”

I was relieved. At least a little. Viewing the category instead of the book showed the correct ranking. But the question of how many more sales I’d need to make it to #1 was nagging. You just don’t know. 

At dinner, we celebrated the launch together with the other speakers of the Next Generation SAP Enterprise Architect Community Learning Forum. 

By then, the book had moved to #2. Soooo close. So close. 

4 minutes past midnight, it hit the top spot in the “Hot Releases” list on Amazon in Germany—just not in a category. 

I decided to go to sleep and check whenever I’d wake up. #2 wasn’t so bad for launch day. But would other books overtake it tomorrow?

I briefly woke up just before 4am and grabbed my phone. Had anything changed in the past 4 hours??

Yes, it had! #1 in Management Skills…a best-seller!! Satisfaction. Screenshot. Sleep. In that order.

Since then, it has hit #1 in all three categories!
A super successful launch. 


But it’s one of these things that you can’t do alone. Thank you so much for your support and readership! I’m deeply grateful!


(Don’t miss to get the launch promo of $0.99 for the ebook for the next 24 hours: https://lnkd.in/dcKY6biC)


Next up: Keynotes, workshops, and podcasts!

#ArtificialIntelligence #AgenticAI #Leadership

During the launch of The HUMAN Agentic AI Edge, 300 attendees waited in line to get their signed copy. Here’s how quickly 3 hours went by…

In each book, I wrote:

Stay HUMAN. 
Get AI-Ready.

Because in order to become an AI-first business, your team needs to get AI-ready…first.


Since then, many attendees have reached out, and I even met a few IRL this week!

Thank you for the awesome feedback and reviews. If you’ve received or bought a copy, please consider leaving your feedback on Amazon. 

Empowering and encouraging team members to use AI without creating slop is the task of the hour. 

I’m curious: How much AI slop do you receive per day? And what would it take to stop it?

#ArtificialIntelligence #AgenticAI #IntelligenceBriefing

Earlier this week, we had a special pre-launch book signing for members of the Chief Architect Network (CAN) that Grant Ecker leads.

Grant and the CAN community connect Chief Architects and senior IT executives to discuss and learn about new topics (such as Agentic AI) and how IT organizations can both prepare themselves and implement these technologies. Since 2021, the community has grown to over 620 members globally.

I’ve been following Grant on LinkedIn for a few years now. So, I was super excited when we first hosted our first event together in December, and when we finally got to meet in person this week.

When AI-generated news and the AI hype make it harder to discern what's real and what's actually working, being part of a community of trusted, human leaders and experts is the way to go.

So here’s a special Friday shout-out Grant and the network!
Give him a follow and maybe we'll see each other at a future event, too.


Love the red tumbler, btw. It goes so well with The HUMAN Agentic AI Edge and the launch-week promo of a symbolic Dollar (or Euro) over on Amazon.


Happy Friday, everyone!


#ArtificialIntelligence #Leadership #Community

“I hadn’t thought about agents as digital employees, yet,” shared a leader with me after attending yesterday workshop, “but it makes sense!”

Let’s get this out of the way for context:
- Approaching agents as digital employees is a helpful metaphor as you define guidelines, guardrails, add processes, but…
- They are still “just software” when it comes to the accountability for their decisions incl legal or ethical aspects (accountability stays with you)

I call it the “Dual-Lens Principle.”

Another attendee rightfully asked who creates the majority of agents in a business today?—IT. 

HR is not at the table. Yet, it’s a major workforce shift and HR can contribute wit that experience. Job descriptions, codes of conduct, rewards, org charts included. IT and HR need to collaborate.

That’s a central point in The HUMAN Agentic AI Edge which participants learned about. Tomorrow is the official book launch, which means you can learn about it, too!


How do you view AI agents?—As digital employees or just another piece of software?


#ArtificialIntelligence #AgenticAI #IntelligenceBriefing

The HUMAN Agentic AI Edge was just covered on Forbes!! Coverage includes the 6 dimensions of the Operating Model you will find in the book.  

When work is no longer a matter of effort, purpose moves into focus.

When AI generates outcomes on par with human results, quality and delivery speed become the differentiating factors.

Ultimately, the question is how you define your value at work when AI can eventually do more tasks that humans do.

The key lies in elevating what makes us unique.
And that’s a core role any leader needs to play. 

How do you define your value at work?


Thank you, Joe McKendrick, for covering a key message of the book in this article!

Don’t miss to get your copy of the best-selling ebook, paperback, or audiobook wherever you get your books!

#ArtificialIntelligence #AgenticAi #IntelligenceBriefing

You've heard me say it time and again:
Your AI agents need high-quality data to deliver high-quality results.

But what does Agentic-Ready Data look like?
And where does that high-quality data even come from when data is rarely current, correct, enriched, or governed.

I can't wait to learn about it from the Precisely team at the Gartner Data & Analytics Summit in Orlando next week at booth # 727. Learn more here: https://lnkd.in/dXhPcGiS

If you're on site, don't forget to join this session:

How a Global Gaming Leader Is Closing the Agentic AI Data Integrity Gap
Monday, March 09, 2026 / 03:30 PM - 04:00 PM EDT (Osceola D)
Paul Bell, Global Head Of Data Trust & Integrity, Entain
Cam Ogden, SVP of Product Management, Precisely

One thing is clear, the highest quality data that is integrated, governed, and enriched is needed for successful AI, automation, and analytics initiatives across the enterprise.

It better be. It has to be.


See you in Orlando!


#ArtificialIntelligence #AgenticAI #Sponsored

If you haven’t gotten your copy, yet, there’s still time to snag the launch price of $0.99 on Amazon today! The HUMAN Agentic AI Edge

graphical user interface, text, application

“What’s new, and what’s real with Agentic AI?” is the big question I’m getting answers to next week in Orlando.

I’ll cover the latest news on site, interview top executives, and talk to customers to get information straight from the source.

One thing is clear:
Large organizations are innovating with Agentic AI. They just don’t talk about it publicly (out of fear to get bad press or backlash). But we need more transparency (not less!), so everyone can avoid the costly mistakes. 

Join me in Orlando for the Gartner Data & Analytics Summit! Leave a comment if you’re going, too.


Still need to register? Use code ‘JOINMEINORLANDO’ to save $450 off registration: https://lnkd.in/duUD-re3
 

PS: Looking forward to catching up with Kate Strachnyi, SCOTT TAYLOR, George Firican, and Ravit Jain.

#GartnerDA #DataCommunity #DataSummit #ArtificialIntelligence #AgenticAI

Agentic AI value does not come from models alone. Instead, quality, trust, and governance of the data behind it are more critical than ever.

To learn more, I spoke with Felix Van de Maele, CEO of Collibra, to discuss why turning AI ambition into real business value starts with one thing: Data Confidence.

Here’s what stood out:

1. AI success is mostly a data challenge
Felix makes the case that enterprise AI is largely driven by the data organizations feed into their models, agents, and use cases. When companies have confidence in their data, they can move faster, generate higher-quality outputs, and drive stronger adoption across the business.

2. Unstructured data is the next big frontier
Most enterprise data is still unstructured, and that creates a major challenge for AI teams. Felix explains why discovering the right documents, identifying sensitive information, and evaluating data quality are essential if organizations want to get better ROI from AI initiatives.

3. More context does not always mean better results
Simply loading every available document into an AI system is not a winning strategy. Better outcomes come from intentional governance of the data and context that agents rely on.

4. Agentic AI raises the stakes for governance
As AI agents begin to take more autonomous actions, accountability becomes even more important. Felix breaks down why organizations need to govern inputs, monitor outputs, and establish the right controls to move AI from experimentation into production responsibly.

If you're tasked with scaling AI in your enterprise, this conversation is a strong reminder that trusted data is the foundation for trusted AI outcomes.


#ArtificialIntelligence #AgenticAI #DataGovernance

Anthropic calls it: Theoretical capability.
You might also call it: Market potential. 

Keep in mind that these are the key industries and occupations that Anthropic is selling to!

So, it’s not surprising for a vendor to picture their product as covering close to 100%(!) of tasks in management, finance, programming, legal, life sciences, and office admin.

The bigger questions are about how to turn theoretical into actual capability:
1) Why is there so much untapped potential?
2) How can organizations close that gap?

Yet, the cause is all around you in your business:
Leaders are asking “We’ve given everyone access to Copilot, Claude & Co., now what?”

Tools have theoretical capabilities.
Humans need actual capabilities. 


Since the summer, I’ve been running cohorts of my “Certified AI Leader” upskilling program.

The four levels of the learning journey cover the basics of using AI assistants, applying advanced prompting techniques, building your first AI agents, and leading your teams through AI-driven change: https://lnkd.in/dq4ayVWX


Prepare your teams expand their actual capabilities. DM me for the details. 


PS: In the meantime, learn how to shape the next generation of AI-ready teams with my new book, The HUMAN Agentic AI Edge.

#ArtificialIntelligence #Upskilling #IntelligenceBriefing

AI agents are only as good as the data behind them.

That’s why I talked to Cam Ogden, SVP of Product Management at Precisely, to learn more about the challenge many organizations are underestimating: whether their data is actually Agentic-Ready Data.

As more companies move from AI experimentation to enterprise agents making decisions on their behalf, the bar for data trust rises dramatically. Cam shares why “AI-ready” and “agentic-ready” are not the same thing, and what leaders need to do now to close that gap.
Here’s what you’ll learn:

1. Why data trust matters more in the age of AI agents
When dashboards fail, teams lose confidence. When agents act on flawed data, the business takes on real operational risk. Agentic AI requires a much higher standard of trust, completeness, and confidence in enterprise data.

2. Where the AI readiness disconnect really comes from
According to the 2026 State of Data Integrity and AI Readiness report (https://lnkd.in/dMm72RbM), co-developed with the Drexel LeBow Center for Applied AI and Business Analytics, many leaders say their organizations are AI ready because they have roadmaps, cloud investments, and executive support in place. But at the operational level, the picture often looks very different, creating a gap between strategy and execution. That’s also why so many organizations are still struggling with data quality, context, and integration.

3. The hidden measurement problem in AI adoption
A major issue is not just whether companies are investing in AI, but whether they are measuring success in a meaningful way. Too few organizations have clear metrics tied to AI outcomes, which makes it harder to prove impact and scale what works.

4. How to close the agentic AI data integrity gap
Leaders need to address six core challenges, spanning siloed data, missing context, stale data, incomplete records, weak governance, and rising cost from untangling these issues. Start with one use case, strengthen the data foundation, prove value, and then scale across the business.

If you’re exploring AI agents in the enterprise, this conversation will help you understand why trusted, well-governed data is becoming a competitive requirement.

Watch and listen how leaders can build the Agentic-Ready Data foundation needed for real AI scale.

#ArtificialIntelligence #DataStrategy #AgenticAI #AgenticReadyData #Precisely

Everyone wants AI agents. But most organizations are still skipping an important step: 

Matching the type of Agentic AI they want to the level of readiness they actually have.

A practical way to think about Agentic AI is in 3 categories:

1. Personal productivity: AI helps an individual draft, summarize, research, or analyze. Accountability is still clear.

2. Operational efficiency: Teams hand recurring work to agents, such as reporting, data checks, or coordination. Review processes start to matter much more.

3. Strategic differentiation: Agents support core processes like procurement, customer support, or financial analysis. This is where scale rises fast, but so does risk.


The mistake many companies make is treating all three the same. It’s a core aspect in my new best-selling book, The HUMAN Agentic AI Edge.

As agent autonomy increases, so must clarity around ownership, permissions, quality standards, and review.

That is why leaders need to look at agents through two lenses at the same time:
- as digital employees that need guardrails
- as just another piece of software that must be governed

Most importantly, human are still responsible. AI can accelerate work, but it does not remove judgment. If standards do not keep pace with adoption, “productivity gains” quickly turn into review overhead, rework, and hidden clean-up.

The better approach:
- Start where accountability is clear.
- Design deliberately as complexity increases.
- Keep human judgment ahead of AI capability.

Wanting AI agents is easy. Using them well is the real work. Read the full guest article on Technical-ly

#ArtificialIntelligence #AgenticAI #IntelligenceBriefing

For the weekend ahead, get some reading or listening in and learn with The HUMAN Agentic AI Edge audiobook how to empower your team to become AI-ready.

You’ll learn about:
- Why professionals need to do a Labor-Shift Check before passing on AI-generated results
- Whether (or when) to view AI agents as digital employees
- How to encourage your team to balance AI-driven efficiency with human judgment 

Why it matters:
At the end of the day, your stakeholders are indifferent about whether your team or its AI created the results. But you’ll hear about it when quality degrades.

Get started today and shape the next generation of AI-ready teams!


#ArtificialIntelligence #Leadership #IntelligenceBriefing

Your biggest AI advantage is a repeatable way for people to use it.

Start a tiered champion program: basic membership and sandbox access, short role-based courses, hands-on prototyping, and named local contacts who connect teams to deployment support. 

Curate short learning paths, keep playgrounds safe, and push pilots that show clear deployment paths so adoption comes from informed users, not guesses.  

Stop confusing speed with scale. Quick experiments teach a lot, but without structure they create waste. Require a simple pilot template (goal, expected benefit, data needs, security checklist, deployment path), run short cycles, and measure outcomes you can act on. Keep governance light but consistent so teams don’t reinvent the same work.  


This is just an excerpt of my weekly newsletter—subscribe to read the latest issue via the link under my name.

I help organizations in finding solutions to current Culture, Processes, and Technology issues through Digital Transformation by transforming the business to become more Agile and centered on the Customer (data-informed)

CDO, CIO & Digital Transformation Director focused on helping organizations navigate the digital age. I partner with leaders to develop and execute strategies that resolve critical business issues related to culture, processes, and technology, ensuring a human-centric approach to innovation and growth.

Dynamic and results-driven Executive with 25+ years of experience leading strategic change in global organizations and SMBs. Proven expertise in consulting, designing, and implementing business-transformative initiatives that drive cultural, process, and technological change. Skilled in optimizing business processes through innovative technology solutions. Strong track record of building high-performance teams and ensuring organizational effectiveness. Experienced in business units, IT, operations, and professional services/consulting areas. Adept at delivering results, driving efficiency, and leveraging cutting-edge technologies. Excels in strategic planning and execution, collaborating with stakeholders across the organization to drive Digital Transformation. Effective communicator and relationship builder, fostering collaboration and innovation. Demonstrated ability to establish data and information strategies, governance, and policy development to create business value. A human-centric leader committed to driving organizational effectiveness and success in the digital age.

You can reach me at https://dtstrategist.com

Manuel Barragan

The talent war is over.

You lost.

There are not enough experts to fill your open roles.

Here are the 4 rules to develop a "Build from Within" engine.

1. Hunt for Curiosity, Not Credentials
 ❌ Old way: Screen for degrees.
 ✔️ New way: Screen for the employee who hacked their own workflow.

2. The 20% Rule
 ❌ Old way: Training happens after hours.
 ✔️ New way: Allocate 20% of the work week to learning new tech. Paid.

3. Kill the "Fear of Firing"
 ❌ Old way: Mistakes = Performance Improvement Plan.
 ✔️ New way: Celebrate the pilot that failed because it taught you something.

4. Cross-Pollinate
 ❌ Old way: Marketing stays in Marketing.
 ✔️ New way: Move the math wiz from Ops to Data Science.

❌ Stop waiting for a unicorn to apply. ❌

✔️ Build the horse you have into a unicorn. ✔️

Which of these rules is most missing from your culture?
At Digital Transformation Strategist, we guide organizations through this shift.

A CIO fired a manager who hit every single deadline.

His metrics were perfect.
 
But his team was silent.

The CIO walked into their weekly meeting.
He gave orders. They took notes.
No one asked questions.
No one suggested a better way.
They were terrified of making a mistake.

That is not management.
That is a hostage situation.

The CIO pulled him aside.
"You are running a factory line, not a creative team".
The manager argued that efficiency was the goal.

The CIO told him he was wrong.
Efficiency without empathy is just short-term speed.
It kills the future.

The organization replaced him with a leader who admitted when she was wrong.
She told the team: "Here are the guardrails. You have the budget and the goal. How you get there is up to you".

The first month, they missed a deadline.
She didn't punish them.
She asked, "What did we learn?"

In the second month, they automated the process and finished a week early.

Real transformation happens when people feel safe enough to screw up.
If they are scared, they are hiding the problems from you.

Do your employees tell you the bad news? At Digital Transformation Strategist, we guide organizations through this shift.

Corporate Learning Is Broken: Why Your Team Ignores Your New Platform
 
I sat across from a CEO who was fuming. He’d spent a small fortune on a top-tier Learning Management System (LMS), yet completion rates were in the single digits. 📉 He thought the software was broken; I told him the truth: his approach to human curiosity was the problem. In 2026, corporate learning can’t be a separate destination. If it isn't part of the workflow, it’s just noise.

In this article, you will learn how to:
- Shift from compliance to capability by treating learning as a habit rather than a mandated event.
- Foster psychological safety, creating a culture where "I don't know" is the celebrated starting point for innovation.
- Apply Lean and Agile principles to education, breaking down monolithic workshops into high-impact, five-minute micro-learning chunks.
- Leverage AI as a personal tutor to move past generic content and deliver personalized learning paths based on real performance data.
- Move the needle on Data and Risk Management by measuring business outcomes (like code quality or security) instead of useless "hours completed".
 
Most companies react to the rapid expiration of skills with panic. They buy content libraries and mandate "Digital Basics" courses that busy managers click through while muted on a conference call. This is a process failure. When you treat learning as a supply chain for talent, you realize that an untrained workforce isn't just a productivity drain; it’s a security risk.
 
The tools of 2026 (AI coaches, VR, instant analytics) are only as powerful as the strategy behind them. You can't buy a learning culture; you build it by respecting your people's time and solving their immediate problems. Stop tracking completion rates and start tracking growth.

Are you struggling to get your team to adopt new digital skills? Let’s stop wasting your budget on ghost-town platforms and start driving results. Digital Transformation Strategist can help you turn your learning strategy into a competitive advantage.

View newsletter: Digital Transformation Stories

I sat across from a CEO some time ago. He looked tired. His company had just spent a small fortune on a top-tier learning management system. He slamme

Open article: Corporate Learning Is Broken: Why Your Team Ignores Your New Platform by Manuel Barragan • 4 min read

Corporate Learning Is Broken: Why Your Team Ignores Your New Platform

Unlocking Human-Centered Digital Transformation
 
This newsletter is different. Why? Shilpi Sharma invited me to do an episode on “Efficiency & Productivity: The Real Outcomes of Human-Centered Digital Transformation” for her podcast, named “Caffeine & Concepts” which is now live.

In this conversation, Shilpi and I explore the critical aspects of Digital Transformation, emphasizing the importance of a human-centric approach. We discuss how empowering employees, fostering collaboration, and ensuring data quality are essential for a successful transformation. The conversation also highlights the need for agile governance and the importance of rethinking processes, especially when integrating AI. Through real-world examples, we illustrate the impact of culture and communication on organizational success, ultimately advocating for a shift in mindset towards empathy and agility in the workplace.

The key takeaway from this enlightening discussion is that Digital Transformation must prioritize the human element to achieve lasting success. By empowering employees, fostering collaboration, and breaking down silos, organizations can unlock true productivity and efficiency. As spoken in the episode, "If I resist change, there is no transformation". Embracing a human-centered approach is essential for any organization looking to thrive in the digital age.

Are you struggling to get the transformation your organization needs? Let Digital Transformation Strategist review it with your team.

This newsletter is different. Why? Shilpi Sharma invited me to do an episode on “Efficiency & Productivity: The Real Outcomes of Human-Centered Digita

Open article: Unlocking Human-Centered Digital Transformation by Manuel Barragan • 3 min read

Unlocking Human-Centered Digital Transformation

The Productivity Paradox: Why Latin American Business Leaders Must Act Now

I sat in a boardroom in Mexico City some month’s ago. The coffee was strong. The strategy was bold. But the CIO looked exhausted. He had a team of brilliant developers, yet they spent their days patching ten-year-old code. They were running fast just to stay in the same place.

This is the Latin American paradox: we have the talent and the hunger, but we lack the structural plumbing to make it flow. Buying tech isn't a transformation; it’s often just an expensive digitization of chaos.

In the article, you will learn how to:
▶️ Rethink your strategy to stop "paving cow paths" and start pivoting toward real value creation.
▶️ Fix your foundation because you can't build an AI skyscraper on a swamp of messy, disconnected data.
▶️ Build talent from within to win the digital war by fostering a culture where it's safe to experiment.
▶️ Stop working alone and embrace partnerships with startups to gain the agility you lack.

Potential does not pay the bills. Execution does. Are you ready to turn your potential into actual results? Let Digital Transformation Strategist look at your current roadmap and find the friction points. Send me a message, and we can start a conversation about real change.

I sat in a "boardroom" in Mexico City some months ago. The coffee was strong. The strategy was bold. But the CIO looked exhausted. He had a team of br

Open article: The Productivity Paradox: Why Latin American Business Leaders Must Act Now by Manuel Barragan • 3 min read

The Productivity Paradox: Why Latin American Business Leaders Must Act Now

The best salesperson blew a massive deal.

He had taken the negotiation course three months prior.

But he forgot the most important rule when it mattered.

He froze on the call.
He caved on price.
Later, he explained himself, "I knew we covered this, but I couldn't recall the specific tactic".

Everybody wanted to blame him.
But it was the organization’s fault.
They had forced him to memorize a textbook in a classroom.
They expected him to recall page 42 while under pressure.
That is not how the human brain works.

They changed their entire approach in just weeks.
They stopped doing "just in case" training.
They started doing "just in time" support.

They built a simple sidebar for his screen.
Now, when he is on a call, he has the key questions right in front of him.
He doesn't need to memorize anything.
He just needs to read.

He closed the next three deals.
He didn't get smarter overnight.
We just stopped making him rely on his memory.

Are you setting your team up to fail by relying on their memory? At Digital Transformation Strategist, we help you fix it.

Are you ready to shift your mindset on Digital Transformation? 

Tomorrow, in my newsletter and along with Shilpi Sharma, I will highlight the importance of a human-centered approach to productivity.

In this short extract, you will find an example of it. 

How do you prioritize your team’s needs? Let Digital Transformation Strategist know!

At one organization, they looked at their learning logs and saw a massive failure.

They assigned "Advanced Python" to the entire engineering team.

The senior architect finished it in 4 minutes.

He was insulted.
"I wrote a book on this", he told everyone.
"Why are you making me click through these slides?"

He was right.
They were treating their experts like novices.
They were wasting their time satisfying a compliance box.

So they turned on the AI engine.
Now, the system looks at his code commits.
It "sees" that he is flawless in Python but struggles with documentation.
It only sends him resources on technical writing.

It sees the junior dev struggling with syntax.
She gets the Python course.

The complaints stopped.
Engagement went up.
People learn what they need, not what HR thinks they need.

Are you wasting your experts' time with generic content? At Digital Transformation Strategist, we guide organizations through this shift.

Thanks for sharing, Digital Transformation Strategist.

Empowering people drives transformation more than tech alone. You will see the full video with Shilpi Sharma and me in my Wednesday newsletter, where we chat about this topic.

Teams that lead change create sustainable productivity and innovation beyond any tool or system.

View company: Digital Transformation Strategist

Ready to transform your business? 

Discover how a people-first approach can lead to real productivity gains!

Shilpi Sharma and Manuel Barragan emphasize that technology isn't the only driver of change; it's the humans behind it. 

Have you empowered your team to lead the change? Contact us to talk more about it.

Corporate Learning Is Broken

This is a sharp look at how habits drive Digital Transformation more than software, Digital Transformation Strategist. A true learning culture starts with trust and curiosity. Focus on psychological safety, reward questions, and measure problem-solving for real growth.

High-performance teams thrive when leaders trade tracking logins for measuring actual problem-solving. These human-centric strategies are the best way to ensure organizational effectiveness in any business unit.

Which of these habits is missing in your organization? DM me to talk more about it.

Companies waste billions on learning platforms.

Most employees rarely log in after the first week.

Stop buying software and start building these 5 habits.

1️⃣ Safety Over Software
 - You cannot force someone to learn.
 - You must invite them.
 - Fear kills curiosity faster than bad UI.

2️⃣ The "I Don't Know" Rule
 - Make ignorance acceptable.
 - When a leader admits they don't know an answer, the team relaxes.
 - It signals that learning is part of the job.

3️⃣ Reward the Question
 - Most companies reward the expert.
 - You should reward the student.
 - Praise the person who asks the "dumb" question that everyone else was thinking.

4️⃣ Schedule the Time
 - Tools do not create time.
 - Calendars do.
 - Block out 30 minutes a week for the team to learn something new.
 - No meetings allowed during this block.

5️⃣ Measure Growth, Not Logins
 - Stop tracking how many hours people spend on the platform.
 - Track how many new problems they solve.
- Fix the human side first.
 - The technology is the easy part.

Which of these habits is missing in your organization? Contact Manuel Barragan to talk more about it.

Are you really an Agile Organization?

This is a great post by Digital Transformation Strategist about doing vs being agile. Tools fail when the culture remains rigid. Safety, ownership, and questioning norms drive results. Software alone can’t create a culture of accountability or innovation.

Digital Transformation requires trust. Leaders must prioritize the human experience to see real results. Fix your culture before you buy another expensive license.

Is your organization not being agile? DM me so we can help you be 😉

Most companies are faking Agile.

They buy the software but keep the bureaucracy.

Here is the difference between "doing" Agile and "being" Agile:

The Focus
- Fake Agile: Focuses on tools and tickets.
- Real Agile: Focuses on people and interactions.
 
The Leadership Style
- Boss: Demands compliance and tracks hours.
- Leader: Creates safety and tracks outcomes.
 
Handling Failure
- The Old Way: Punish the mistake. Hide the evidence.
- The New Way: Share the mistake. Fix the system.
 
Process Management
- Bad Efficiency: "We have always done it this way".
- True Efficiency: "Why do we do this at all?"
 
Automation Strategy
- Trap: Automate everything to save time.
- Truth: Simplify first. Automate what remains.
 
The Outcome
- Compliance: People do what they are told.
- Ownership: People solve the problem.

Technology is the easy part.
- Changing the human mindset is the real work.
- Stop buying tools until your team feels safe enough to tell you the truth.

Which one does your company struggle with the most? Contact Manuel Barragan to talk more about it.

You can't manage what you can't measure across borders.

When Sales, Operations, IT, and Finance keep separate scorecards, you lose money.

I use a "Silo-Buster" audit to fix this.

Step 1: Map the Relay Race
 - Don't look at the org chart.
 - Look at a single order.
 - Trace it from the first email to the final payment.
 - Mark every time the "baton" drops between departments.

Step 2: Identify the Black Holes
 - Find the spots where data disappears.
 - Usually, this happens when Sales hands off to Operations.
 - Or when Operations hands off to Finance.
 - If you have to export data to Excel to move it, that is a black hole.

Step 3: Unify the Definitions
 - Ask Sales: "What is a booked order?"
 - Ask Finance: "What is a booked order?"
 - If the answers are different, stop everything.
 - Agree on the math before you buy the tool.

Step 4: The Shared KPI
 - Give disparate teams a single shared goal.
 - Tie the Sales bonus to the installation speed.
 - Tie the IT bonus to the Sales uptime.
 - Watch how fast they start talking to each other.

Step 5: The Tech Bridge
 - Now you connect the systems.
 - Technology works only when humans agree on the goal.
- Stop optimizing islands.
 - Build bridges.

Do your Sales, Operations, IT, and Finance teams agree on the numbers? At Digital Transformation Strategist, we help you fix it.

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The Battle

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Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Andreas Welsch's LinkedIn Performance

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