Digital Transformation Initiatives

A personal decision to change my car gave me an insight I shared yesterday with LATAM Airlines leadership—and it resonated. So I thought it might be worth sharing here as well. Fair warning: it’s not a new revelation. I recently replaced my BMW iX3 with a Tesla Model Y. On paper, both are electric SUVs. In practice, they come from entirely different DNA. The BMW is a masterpiece of traditional engineering, adapted for a battery. The Tesla is a computer on wheels—where software is the product, and hardware is just the delivery mechanism. This shift goes far beyond cars. It reflects the core challenge for legacy companies—including us at LATAM Airlines. Many still see “digital transformation” as adding a digital layer—an app, a cloud migration—on top of existing processes. But the real difference is philosophical: • Continuous evolution vs. static products In a traditional model, the product is “finished” when it leaves the factory. In a digital-first model, the product is a living system—constantly evolving through software. • First principles vs. incrementalism It’s not about digitizing a 30-year-old process. It’s about reimagining it from scratch with data and AI at the core. • Software as the engine Competitive advantage no longer comes from the physical asset (a plane or a car), but from the intelligence embedded within it. • The reality check Becoming truly digital isn’t about building a great app. It’s about shifting from being a physical company enhanced by technology to a technology company that happens to operate in the physical world. The biggest hurdle isn’t technology—it’s mindset. This is how we’re approaching the challenge at LATAM. In a world where “revolutionary” quickly becomes the baseline, evolution is no longer a project—it’s the operating model. The real question for leaders: Are you just swapping engines—or are you ready to rebuild the entire platform? #DigitalTransformation #Innovation #Leadership #LATAM #TechStrategy

The real gap between digital leaders and laggards isn’t just in technology—it's in mindset. The 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐃𝐢𝐯𝐢𝐝𝐞 isn’t about who has the best tools; it’s about who knows how to wield them. The difference between average and excellent isn’t in the number of systems implemented but in the strategic intent behind them. True digital transformation isn’t just an IT initiative—it’s a company-wide movement, a reimagining of what’s possible when leadership, innovation, and agility align. 𝐖𝐡𝐚𝐭 𝐀𝐯𝐞𝐫𝐚𝐠𝐞 𝐋𝐨𝐨𝐤𝐬 𝐋𝐢𝐤𝐞: • 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲-𝐅𝐨𝐜𝐮𝐬𝐞𝐝 𝐋𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩: CIOs and CTOs leading the charge, with an inward focus on IT infrastructure. • 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲 𝐎𝐯𝐞𝐫 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧: Tracking efficiency and business performance without a broader view towards future capabilities. • 𝐂𝐚𝐮𝐭𝐢𝐨𝐮𝐬 𝐏𝐫𝐨𝐠𝐫𝐞𝐬𝐬: Proceeding with digital steps without the urgency to outpace the evolving market demands. • 𝐎𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐒𝐭𝐚𝐛𝐢𝐥𝐢𝐭𝐲: Maintaining the status quo in operations, favoring predictability over agility. • 𝐒𝐭𝐚𝐧𝐝𝐚𝐫𝐝 𝐓𝐨𝐨𝐥 𝐀𝐝𝐨𝐩𝐭𝐢𝐨𝐧: Providing employees with collaboration tools without fostering a culture of digital innovation. • 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐏𝐫𝐢𝐨𝐫𝐢𝐭𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Concentrating on backend upgrades before considering the customer-facing aspects of the business. • 𝐒𝐢𝐥𝐨𝐞𝐝 𝐃𝐚𝐭𝐚 𝐔𝐭𝐢𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Using data for routine business operations rather than as a cornerstone for transformation and innovation. 𝐖𝐡𝐚𝐭 𝐄𝐱𝐜𝐞𝐥𝐥𝐞𝐧𝐭 𝐋𝐨𝐨𝐤𝐬 𝐋𝐢𝐤𝐞: • 𝐋𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩 𝐟𝐫𝐨𝐦 𝐭𝐡𝐞 𝐓𝐨𝐩: Transformation championed by CEOs, integrating digital priorities within the company’s vision. • 𝐂𝐨𝐦𝐦𝐢𝐭𝐦𝐞𝐧𝐭 𝐭𝐨 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧: Measuring success through the lens of innovation and digital proficiency. • 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐜 𝐀𝐜𝐜𝐞𝐥𝐞𝐫𝐚𝐭𝐢𝐨𝐧: Not merely adapting but actively advancing digital initiatives, even in challenging economic climates. • 𝐎𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐠𝐢𝐥𝐢𝐭𝐲: A culture that embraces operational efficiency as a path to competitive advantage. • 𝐏𝐞𝐨𝐩𝐥𝐞 𝐚𝐬 𝐏𝐫𝐢𝐨𝐫𝐢𝐭𝐲: Investing in employee engagement and digital literacy, recognizing that technology amplifies human potential. • 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫-𝐂𝐞𝐧𝐭𝐫𝐢𝐜 𝐄𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Prioritizing the customer experience with a strategy that adapts proactively to their needs and behaviors. • 𝐃𝐚𝐭𝐚-𝐃𝐫𝐢𝐯𝐞𝐧 𝐃𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬: Leveraging AI and data analytics not only to inform decisions but to foster a culture of continuous improvement. 𝐅𝐮𝐥𝐥 𝐚𝐫𝐭𝐢𝐜𝐥𝐞: https://lnkd.in/eU_Cc3ga ******************************************* • Visit www.jeffwinterinsights.com for access to all my content and to stay current on Industry 4.0 and other cool tech trends • Ring the 🔔 for notifications!

The #instantpayments regulation (adopted last week) brings sweeping changes to the European payments landscape. Let’s take a look. The regulation is a big upgrade for the EU #payments infrastructure by standardizing instant payments across the EU. Key provisions: 1) Instant payments are becoming compulsory 2) Both consumers and businesses are addressed 3) Instant payments cannot be more expensive than normal credit transfers. Up to now there were huge variations with instant transfers costing even up to €12 in some cases! 4) Banks need to check that the account number matches the name of the payment beneficiary and alert in case of a possible mistake or fraud 5) Instead of screening transactions one by one, instant payment providers will be required to check their clients against EU sanctions lists at least daily 6) Payment and e-money institutions (PIEMIs) get direct access to payment systems, removing reliance on banks as sponsors. Banks are no longer the gatekeepers to EU payment systems and that’s a huge change. When will this be effective? — New rules enter into force 20 days after publication in the EU Official Journal — A transition period is planned. It will be faster in the euro area and longer for non-euro countries (i.e. Poland, Sweden) — PSPs in the euro area need to be ready to receive Euro instant credit transfers in 9 months / send them in 18 months. Example use cases: — Immediate availability of funds (i.e. loan disbursements, payouts, etc) — Real-time re-conciliation — Instant top-ups (gaming apps, wallets, etc) — Instant insurance claim payments / charity payments — Cash-flow management / improved liquidity and treasury view Why was this necessary? — Catch-up with global frontrunners like India or Brazil — SEPA instant credit transfers (SCT Inst) account for ONLY 15% of all conventional SEPA credit transfers (SCT). Removing the barriers to adoption is key — The EU landscape is very fragmented. There are several instant local payment schemes across some EU countries (i.e. iDEAL in the Netherlands, Blik in Poland, Bizum in Spain, DIAS in Greece), but they are not interoperable What are the real drivers? This is a game long in the making: developing pan-European transaction solutions built on instant payment rails, has been an EU retail payments #strategy goal since 2020. But reading behind the headlines there are 2 main drivers: — Independence: Europe depends on US payments rails (Visa, Mastercard, PayPal, Apple, Google, Amazon) missing a domestic scheme. Instant payments are part of the effort to fix this with EPI and the digital Euro being the rest — Efficiency: The Commission estimates almost €200 bn are locked in transit in the financial system daily, a so-called “payment float” that could be freed up and be reinjected faster into the #economy Opinions: my own, Graphic sources: European Payments Council, TreasuryXL

How can leaders transform their teams to be AI-first? It starts with mindset. An AI-first mindset means: Seeing AI as an opportunity, not a threat. Viewing AI as a tool to augment teams, not just automate tasks. Using AI to reimagine work, not just optimize work. As leaders, it’s on us to build this mindset within our teams. Here are 5 ways we do this at HubSpot: Use AI daily: Lead by example—trust grows when teams see leaders embrace AI themselves. I use it everyday and share very specific use cases with our company on how I use it. Now every leader is doing the same with their teams. The result is that we will have almost everyone in the company use AI daily by the end of year. Apply constraints: Give clear, focused challenges. We kept headcount flat in Support while growing the customer base by 20%+. Result - the team innovated with AI and over achieved the target. Smart constraints drive innovation. Establish tiger teams: Empower small, agile groups to experiment, innovate, and teach the organization. We have AI Tiger teams in every function - they share progress in Slack channels and there is so much energy with small groups experimenting and learning. Be a learn-it-all: Foster a culture of continuous learning. Share openly about successes and failures alike. We have dedicated 2 full days to learning and scaling with AI this quarter as a company - we have lined up great speakers, ways to experiment and gamified learning. Measure progress and share it: Measure which teams are completing learning modules, using AI everyday and share that openly. A little healthy competition goes a long way in driving AI-fluency. AI isn’t just a technology shift. It’s fundamentally reshaping how work gets done—and that requires shifting our mindset first. Leaders who embrace AI now will unlock creativity, performance, and impact. Are you building an AI-first mindset with your team? #Leadership #AI #Innovation #Mindset #FutureOfWork

Most transformation efforts don’t fail because of strategy or technology—they fail because of people and culture. With 90% citing culture barriers and 82% pointing to digital skill gaps, it’s clear that organizations often underestimate the human side of change. What stands out to me is how many of the top obstacles—stress, burnout, change fatigue, disengagement—are rooted in emotional and organizational well-being. Even strong initiatives can collapse when teams feel overwhelmed or unsupported. Success in transformation isn’t just about deploying new systems. It’s about building a resilient culture, investing in capability-building, and creating leadership alignment from the start. When those pieces fall into place, the rest becomes far more achievable.

Deloitte's CTO dropped a number that should make every executive pause. 93% of AI transformation budgets go to technology. 7% goes to people. That ratio is almost perfectly inverted from what the data says actually works. Organizations that invest in structured change management hit an 88% success rate on transformation initiatives. Those that pour money into tech without touching culture, training, or workflow redesign? They land in the 70% failure pile that McKinsey has been tracking for a decade. The math gets worse. Companies that prioritize culture change, see 5.3x higher success rates than technology-only approaches. And firms with a formal change strategy are 7x more likely to meet their transformation goals. So we have a €93 problem being treated with a €7 solution. I keep seeing this in professional services. A firm buys a new platform, rolls it out with a 45-minute training session, then wonders why adoption stalls after three weeks. The partners go back to email. The associates build workarounds in spreadsheets. Six months later, someone suggests buying a different platform. Technology creates capability. People create capacity. You can't have one without the other. The fix isn't complicated. It just requires admitting that the hardest part of any technology project has nothing to do with technology. What's the people-to-tech budget ratio at your organization? #ChangeManagement #AITransformation #ProfessionalServices #DigitalTransformation

Banks collect $400B in payment fees annually. Stripe just made them obsolete with instant stablecoin transfers in 100+ countries. Here's why this is the biggest payment revolution since digital banking: The global payment system is fundamentally broken. Cross-border transfers take 3-5 days while fees eat 2-4% of transaction value. Currency conversion adds hidden costs to every international payment. Banks close at 5pm and weekends, freezing your money when you need it most. Businesses lose billions while money sits in limbo. Stripe's stablecoin accounts change everything: • Instant settlement (under 10 seconds) • No upper limits on transaction size • Available in 101+ countries • Lower, transparent fees • 24/7/365 availability This isn't just faster payments—it's programmable money. Digital currency controlled by software that executes automatically based on conditions. Money that moves without intermediaries and integrates directly with business operations. The real-world impact is massive: A Nigerian entrepreneur can now receive USD payments instantly. A US manufacturer can pay Asian suppliers in seconds, not days. A European startup can manage global payroll without currency headaches. How does it work? Stripe uses USDC and USDB stablecoins that maintain 1:1 value with USD. They're backed by dollar reserves and regularly audited for transparency. Stripe acquired Bridge (a stablecoin platform) for $1.1B to build this infrastructure. They created an AI model trained on billions of transactions to provide fraud protection. Beyond the tech, this move legitimizes stablecoins for mainstream commerce. Stripe processes payments for millions of businesses worldwide. By integrating stablecoins into their core product, they're bringing programmable money to the masses. The implications are enormous: Emerging markets gain direct access to dollar accounts. Supply chains accelerate with instant payments. Business cash flows improve dramatically across borders. Financial inclusion expands to regions previously cut off from global commerce. The $400B payment fee ecosystem won't disappear overnight. But Stripe's move accelerates a shift toward programmable, blockchain-based financial infrastructure. For businesses, the question isn't if they'll adopt this technology, but when. Stripe's stablecoin accounts are just the beginning of the programmable money era. Winners will be businesses that move fastest to capture the advantages of instant, borderless money.

Companies pour millions into AI, automation, and cutting-edge tech—expecting a revolution. But then… nothing changes. Productivity stalls. Adoption is slow. Frustration rises. Why? Because technology alone won’t solve your problems. The missing link? People. Their adoption, their engagement, their proficiency. 💡 You can implement the best tech, but if your people don’t understand, trust, or use it, transformation fails. 💡 Digital tools don’t drive change—your culture, leadership, and mindset do. The key to true digital transformation isn’t just upgrading systems; it’s upskilling people, reshaping behaviors, and aligning teams. So before investing in more tech, ask: ✅ Are my leaders driving change or just approving budgets? ✅ Do my people feel empowered or overwhelmed? ✅ Am I solving a business problem or just following a trend? The best transformations are human-led and tech-enabled. What’s your biggest challenge in digital transformation? Let’s discuss⬇️ #DigitalTransformation #Leadership #ChangeManagement #FutureFit #Innovation #Technology #BusinessGrowth

In a recent discussion with Priscilla Ng, Prudential plc’s Group Chief Customer and Marketing Officer, we delved into Prudential’s shift towards customer-centricity. This conversation underscored the seamless integration of digital innovation and the essential human touch in the insurance sector.   Here are five key insights from our discussion applicable across industries:   🔹Strategic Integration of AI and Human Insight: Prudential is not just using AI to streamline processes; they are using it to significantly enhance personalization and customer service. From simplifying underwriting to transforming service at customer touchpoints like call centers, AI is proving to be transformative. How can other industries use AI not merely for efficiency but as a catalyst for customer connection?   🔹Empowering Employees: In the journey of digital transformation, the role of technology is as crucial as the people behind it. Priscilla emphasized the importance of equipping over 15,000 employees with the necessary mindset, skills, and tools to excel in a digitally evolving landscape. What strategies can companies implement to ensure their teams thrive amidst technological change?   🔹Balanced Approach to Digital and Human Interaction: Despite extensive technological integration, the human element remains critical at Prudential. Their approach ensures that digital enhancements support rather than replace human interactions, thereby strengthening customer relationships. How can businesses maintain this balance to enhance, not undermine, human connections?   🔹Navigating Challenges in Transformation: Adapting to digital transformation comes with challenges, from aligning large teams with new strategies to continuously adapting to emerging technologies. Priscilla shared that a steadfast focus on customer-centricity is essential for navigating these challenges. How can other organizations keep their focus on customer needs while managing transformation complexities?   🔹Continuous Learning and Adaptation: A crucial aspect of Prudential’s transformation is fostering an environment of continuous learning and adaptation. This involves training in new technologies and developing a deeper understanding of customer needs and behaviors. How can continuous learning be structured to keep pace with rapid technological advancements and evolving customer expectations?   This dialogue is part of McKinsey’s ongoing series exploring how leaders steer their companies through transformations. Stay tuned for more insights shaping today’s business landscape. Full interview: https://lnkd.in/gtjphW2s   #Leadership #DigitalTransformation #CustomerCentricity #InsuranceIndustry #AI

Is your leadership's management philosophy stuck in the 1960s? Let's redefine it: Leadership by Being Engaged. The concept of "management by walking around" came from Bill Hewlett and Dave Packard (HP founders) in the 1960s, popularized by Tom Peters in 1982, and gets used today to describe what's missing in #remote work. "The expected benefit: by random sampling of events or employee discussions, managers are more likely to facilitate improvements to the morale, sense of purpose, productivity and and quality... compared to remaining in a specific office area, or the delivery of status reports." The literal concept doesn't work if your managers have people who are working in multiple locations, now the majority case. 60 to 80% of all "enterprise" company managers now have #distributed teams. 100% of Fortune 500 Execs have teams that are #distributed today, according to Atlassian (kudos Molly Sands, PhD). #RTO mandates rooted in this philosophy are trying to return to a world that no longer exists. Leaders need a both/and approach. Get employees together to jump-start #belonging, and build better #culture and #performance by being involved in the digital #collaboration tools that your teams use every day. Let's redefine a philosophy rooted in co-location into one for the #digital age. Four starting points for leaders looking to get digitally engaged: 🔸 Increase transparency. Internal transparency around clear goals and realistic progress against them drives focus on outcomes, and builds trust. 🔸 Get engaged in the work. Execs need to stop saying "Teams/Slack etc are for the kids; you'll find me in email" and get into the tools people use every day to work through account issues, project updates, and problem solving. 🔸 Participate in digital communities. Social forums at work build belonging. That cuts across everything from an Abilities ERG to Sneakerheads. Finding community at work boosts retention; even leaders need to find that. 🔸 Get a reverse mentor. Being available and engaged digitally can feel foreign as a leader, and initially scary to a team. Find a digital native in your organization who can coach you! What's your take? Retire the phrase, or revive an important concept?