Strategic Operational Excellence

The beginner sees possibilities. The expert sees problems. For a decade, I was the HR tech expert everyone consulted. My knowledge became my prison. Every new idea triggered the same response: ten reasons why it wouldn't work. I knew too much about what had failed before to see what might succeed tomorrow. Harvard Business School found outsiders solved ~30% of R&D problems internal experts couldn't. They're blinded by their own knowledge. When you know too much, you stop looking. The most dangerous moment in any career isn't failure. It's mastery. We talk about expertise as if it's universally positive. The uncomfortable truth? Expertise traps us in old assumptions, making us rigid where we need flexibility. David Foster Wallace tells of two young fish swimming along when an older fish asks, "How's the water?" They swim on, then one turns to the other: "What the hell is water?" Experts stop noticing the water. I faced this when I shifted to working remotely. Without face-to-face collaboration, I believed chemistry would evaporate. While experimenting with hybrid models, I kept one foot stubbornly in the office. Why? Because letting go of deeply-held beliefs feels like stepping off a cliff. The unlearning was painful. Not the tactical part; anyone can adopt new tools. The identity part. When your value comes from knowing, not-knowing feels like professional death. But here's what I've noticed about truly agile thinkers: → They hold strong beliefs, but aren't held by them → They entertain ideas that contradict their own → They don't just accept change; they seek it out → They see the water others never notice The real danger? Most professionals become prisoners of their expertise. They double down on outdated methods while the world speeds by. Their rooms echo with agreement instead of debate. The future belongs to those who master strategic forgetting. Who shed beliefs that no longer serve them. Who embrace the beginner's mind again and again. In a world where AI makes everyone an instant expert, the only advantage is knowing when to ignore what you know. The curse of competence isn't that you know too much. It's that you stop looking for what you're missing. Your knowledge isn't the edge. It's the cage.

𝗥𝗶𝗴𝗵𝘁 𝗻𝗼𝘄, 𝟳𝟰% 𝗼𝗳 𝘁𝗵𝗲 𝗙𝗼𝗿𝘁𝘂𝗻𝗲 𝟱𝟬𝟬 𝗮𝗿𝗲 𝘂𝗻𝗱𝗲𝗿𝗴𝗼𝗶𝗻𝗴 𝗱𝗶𝗴𝗶𝘁𝗮𝗹 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻𝘀. 𝗨𝗽 𝘁𝗼 𝟵𝟱% 𝗼𝗳 𝘁𝗵𝗲𝗺 𝘄𝗶𝗹𝗹 𝗳𝗮𝗶𝗹. 𝗪𝗵𝘆? 𝗣𝗼𝗼𝗿 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻. When I stepped in as CTO, it was clear that if our transformation was going to succeed, we had to improve execution. So, instead of chasing shiny tools or trendy models, we relentlessly focused on the basics. 🧱 Here’s my advice for anyone on this journey: 1️⃣ 𝗦𝘁𝗮𝗻𝗱𝗮𝗿𝗱𝗶𝘇𝗲 𝗳𝗼𝗿 𝗦𝗽𝗲𝗲𝗱 Standardization doesn’t limit creativity — it removes roadblocks. Certified pipelines, test plans, and frameworks eliminate chaos, helping teams deliver faster. 2️⃣ 𝗧𝗵𝗼𝘂𝗴𝗵𝘁𝗳𝘂𝗹 𝗖𝗼𝗻𝘁𝗿𝗼𝗹𝘀 𝗠𝗮𝘅𝗶𝗺𝗶𝘇𝗲 𝗖𝗿𝗲𝗮𝘁𝗶𝘃𝗶𝘁𝘆 You need rules, but only enforce the “no-regret” ones. This gives teams the flexibility to innovate solutions for different regions or customers. 3️⃣ 𝗦𝗲𝗾𝘂𝗲𝗻𝗰𝗲 𝗳𝗼𝗿 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 Take it step by step and front-load complexity. Doing everything in parallel or saving the hardest for last will result in gridlock and deflating surprises. 4️⃣ 𝗧𝗵𝗲 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗶𝘀 𝗬𝗼𝘂𝗿 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 Tech teams know a lot, but the business knows best. Demand clear requirements so you can build what's needed... and not bridges to nowhere. 5️⃣ 𝗜𝘁'𝘀 𝗮 𝗧𝗲𝗮𝗺 𝗦𝗽𝗼𝗿𝘁 They’re called ‘digital transformations,’ but they’re really business transformations. Everyone — not just tech — must own it. There's always more to do, but we’ve made huge strides this year:   ✅ Cut over four 40+ year-old mainframes to the cloud ✅ Migrated all North American mainframe pipelines to data fabric ✅ Closed data centers from Alpharetta to Australia ✅ Beat our all-time stability records ✅ Achieved our best-ever tech hygiene stats 𝗧𝗵𝗲 𝗴𝗼𝗼𝗱 𝗻𝗲𝘄𝘀? We won’t be in the 95%. 𝗧𝗵𝗲 𝗯𝗲𝘁𝘁𝗲𝗿 𝗻𝗲𝘄𝘀? We’re now seeing the transformation benefits we envisioned at the start: AI innovation, model precision, next-gen services, enhanced resilience, and more. 🚀 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗶𝘀𝗻’𝘁 𝗮𝗯𝗼𝘂𝘁 𝗳𝗼𝗹𝗹𝗼𝘄𝗶𝗻𝗴 𝘁𝗿𝗲𝗻𝗱𝘀—𝗶𝘁’𝘀 𝗮𝗯𝗼𝘂𝘁 𝗺𝗮𝘀𝘁𝗲𝗿𝗶𝗻𝗴 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻. What are digital transformation lessons you've learned? I’d love to know! 👇

According to the 𝟐𝟎𝟐𝟒 𝐒𝐭𝐚𝐭𝐞 𝐨𝐟 𝐭𝐡𝐞 𝐂𝐈𝐎 𝐒𝐮𝐫𝐯𝐞𝐲 by Foundry, 𝟕𝟓% of CIOs find it challenging to strike the right balance between these two critical areas. This difficulty is notably higher in sectors such as education (𝟖𝟐%) and manufacturing (𝟕𝟖%), and less so in retail (𝟓𝟒%). (Source: https://lnkd.in/ebsed9i7) 𝐖𝐡𝐲 𝐓𝐡𝐢𝐬 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞 𝐄𝐱𝐢𝐬𝐭𝐬: The increasing emphasis on digital transformation and artificial intelligence (AI) is driving the need for innovation. In 2024, 28% of CIOs reported that their primary CEO-driven objective was to lead digital business initiatives, a significant increase from the previous year. This push towards innovation often competes with the imperative to maintain operational excellence, including upgrading IT and data security and enhancing IT-business collaboration. 𝐓𝐡𝐞 𝐈𝐦𝐩𝐚𝐜𝐭 𝐨𝐧 𝐎𝐫𝐠𝐚𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧𝐬: The tension between innovation and operational excellence can lead to a misallocation of resources if not managed correctly. It can result in either stifling innovation due to overemphasis on day-to-day operations or risking operational integrity by over-prioritizing disruptive technological advancements. For instance, sectors with a high focus on operational challenges, such as education and healthcare, particularly emphasize IT security and business alignment over aggressive innovation. 𝐀𝐝𝐯𝐢𝐜𝐞 𝐟𝐨𝐫 𝐂𝐈𝐎𝐬: • 𝐄𝐦𝐛𝐫𝐚𝐜𝐞 𝐚 𝐃𝐮𝐚𝐥 𝐀𝐠𝐞𝐧𝐝𝐚: Get used to it! CIOs should advocate for an IT strategy that equally prioritizes operational excellence and innovation. This involves not only leading digital transformation projects, but also ensuring that these innovations deliver tangible business outcomes without compromising the operational integrity of the organization. • 𝐒𝐭𝐫𝐞𝐧𝐠𝐭𝐡𝐞𝐧 𝐈𝐓 𝐚𝐧𝐝 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧: Strengthening the collaboration between IT and other business units remains a top priority. CIOs should work closely with business leaders to ensure that technological initiatives are well-aligned with business goals, thereby enhancing the overall strategic impact of IT. • 𝐃𝐞𝐯𝐞𝐥𝐨𝐩 𝐚 𝐅𝐥𝐞𝐱𝐢𝐛𝐥𝐞 𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞 𝐀𝐥𝐥𝐨𝐜𝐚𝐭𝐢𝐨𝐧 𝐌𝐨𝐝𝐞𝐥: To manage the dynamic demands of both innovation and operational tasks effectively, CIOs should adopt a flexible resource allocation model. This model would allow the IT department to shift resources quickly between innovation-driven projects and core IT functions, depending on the business priorities at any given time. ******************************************* • 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!

21 April 2026: In "The Hill," Isaac F. and I warn that "The Pentagon Could Be About to Make a $55 Billion Mistake." - We note that the huge financial commitment in the budget request to unmanned and autonomous systems with the Defense Autonomous Warfare Group is overdue and should be applauded, but the investment could be undermined by three shortcomings seen at times in the past when new hardware has been introduced. - First, no joint U.S. military concept or doctrine yet exists for the scaled employment of autonomous formations — units that can coordinate at machine speed and execute a commander’s intent when communications are degraded or severed. - Second, there are not yet plans for the considerable organizational changes and the fundamentally different form of command that will be required (we also don't yet see that with the introduction of greater numbers of unmanned systems). Substantial force structure changes will need to be made, and leaders will need extensive training and education on how the new capabilities will be employed. Commanders will, in particular, need to learn how to encode intent in advance — translating objectives, constraints, and priorities into parameters that machines can execute independently. But current training and education pipelines are not yet aligned to produce leaders capable of commanding the anticipated autonomous formations at scale. - Third, there is not yet a system for continuous iteration and rapid feedback that autonomous systems will require. Ukraine’s success with unmanned systems, for example, stems not from any single platform, but from the battle management system that enables it and the rapid feedback loop between operators, engineers, and commanders. The U.S. cannot replicate Ukraine’s model exactly, but it will need to build an equivalent system — one that translates operational experience into adaptation at speed. At present, the U.S. system is not remotely comparable to that established by the Ukrainian military. - In fact, Ukrainian forces — along with their Russian adversaries — are redefining the very nature of warfare on the ground, at sea, and in the air, both over the battlefield and deep within each country’s interior. They have already made sweeping changes in their operational concepts, force structure, training and development of leaders, and feedback loops that drive continuous adaptation. - The U.S. has not yet made similar changes to reflect the lessons already being learned in Ukraine with remotely piloted systems. The result is a widening gap — not in technology, but in the ability to employ new technology as part of a coherent and evolving way of war. - And the advent of truly autonomous systems and formations (and, eventually, systems of autonomous systems) will represent even greater changes to warfare than what we are seeing in Ukraine. #ukraine #DAWG #linkedintopvoices

90% of companies stall before they’re able to scale. Not because the market changed. Not because the team isn’t capable. And certainly not because they lack vision. They stall because their operations can’t keep up with their growth. I’ve seen it over and over. The CEO is still making too many decisions. Processes live in people’s heads. Everyone’s working hard, but execution is inconsistent. So the team starts spinning. Firefighting replaces focus. And big goals turn into reactive checklists. When that happens, the fix isn’t more hustle. It’s operational discipline. But here’s the part most people miss: Operational excellence isn’t one big change. It’s a layered process. Built step by step. You start with standardization. Create one clear way to do the work. No more “everyone has their own method.” Then you move to automation. Eliminate repetitive tasks. Free up time for deeper work. Next comes measurement. Track the right numbers. Make them visible. Let the data guide your decisions. Then, layer in continuous improvement. Small weekly fixes. Fast iterations. Constant learning. Only then are you ready for real innovation. Not chaos disguised as creativity. Bold ideas that stick, scale, and move the business forward. This isn’t a theory. It’s how strong, sustainable companies actually scale. From startups to 8-figure teams, the pattern is the same. Build the layers in order. Tighten the engine before you step on the gas. Save this for when growth gets messy. Share it with your ops lead. Use it to make your business run smoother than ever. Curious... where do you think most teams stall? ♻️ Repost to help a leader in your network. — P.S. 📣 Ready to become a world-class CEO? Apply now to the Founder & CEO Accelerator Limited spots available. Learn more: https://lnkd.in/enG4XmRt P.S. Want a PDF of my Operational Excellence Cheat Sheet? Get it free here: https://lnkd.in/e5MBq3-x

𝐘𝐨𝐮 𝐜𝐚𝐧𝐧𝐨𝐭 𝐨𝐮𝐭𝐫𝐮𝐧 𝐩𝐨𝐨𝐫 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐛𝐲 𝐚𝐜𝐜𝐞𝐥𝐞𝐫𝐚𝐭𝐢𝐧𝐠 𝐝𝐞𝐥𝐢𝐯𝐞𝐫𝐲. Operational velocity doesn’t come from more sprints or bigger teams. It comes from architecture that absorbs complexity instead of pushing it downstream. C-level leaders who invest in structure first create systems that scale on intent, not luck. The architecture defines how fast the organization can move and how safely. Every dependency left unstructured becomes a drag coefficient: • unclear ownership, • redundant pipelines, • brittle integrations. Delivery excellence is an outcome of good architecture, not a substitute for it. Velocity is engineered through structure, not inspired by effort. 𝐖𝐡𝐚𝐭 𝐢𝐟 𝐬𝐩𝐞𝐞𝐝 𝐰𝐞𝐫𝐞 𝐭𝐡𝐞 𝐨𝐮𝐭𝐜𝐨𝐦𝐞, 𝐧𝐨𝐭 𝐭𝐡𝐞 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐲?

Something interesting is happening that some leaders are not talking about publicly. While companies make headlines about downsizing in their home countries many of these same organizations are quietly establishing significant operations in Manila. JPMorgan takes over 2nd Uptown BGC tower which doubled Manila workforce to 20,000. Amazon also inaugurated its first operations services office in Cebu City which created hundreds of employment opportunities. According to Business World Online, office sector net absorption of 281,000 sq.m. in H1 2024 is driven by return-to-office mandates and office expansion. The numbers actually do not lie. Indeed, major tech companies, financial services firms, and consulting organizations are building substantial teams in the Philippines while maintaining different narratives in their public communications. This goes beyond cost-cutting anymore. It speaks about competitive advantage. The real reasons behind this quiet expansion reveal strategic thinking. The Philippines offers something unique. There is a mature business ecosystem with Western-compatible work culture, timezone flexibility for global operations, and a talent pool that scales with quality. Companies are not just finding cheaper resources. They are finding better operational models. The Philippines has become the preferred destination for serious business growth because it solves multiple problems simultaneously. English proficiency eliminates communication friction. Cultural compatibility reduces management overhead. Government support creates favorable business conditions. And the talent infrastructure can absorb rapid scaling without quality degradation. But what people often most miss is that companies are keeping this expansion quiet because it represents a competitive approach. While competitors struggle with domestic hiring challenges and inflated salary expectations, these organizations are building efficient and high-performing teams that operate seamlessly across global markets. Companies that figured this out early are scaling faster, operating more efficiently, and building sustainable competitive advantages while others debate the future of work. The Philippines is not just another offshore destination. It has become the operational backbone for companies that understand global talent strategy.

Operating Models: The Bridge from Strategy to Execution Many organizations struggle when turning strategy into action. The gap between planning and execution can derail growth, slow innovation, and cause misalignment. A well-designed operating model is the blueprint that connects strategy to day-to-day operations. It defines how resources are deployed, decisions are made, and performance is managed. When built well, it drives clarity, agility, and results. What Makes an Effective Operating Model? According to Bain & Company, five key elements define high-performing operating models: 1. Structure Define clear boundaries between business units, shared services, and centers of expertise. Optimize the size and shape of the organization to strike a balance between scale and flexibility. 2. Accountabilities Clarify who owns what—across P&L, decisions, and cross-functional roles. Align responsibilities and incentives with strategic priorities. 3. Governance Create forums and processes that support fast, high-quality decisions. Use dashboards and key metrics to keep teams focused and leadership aligned. 4. Ways of Working Foster cultural norms that support speed, collaboration, and ownership—especially across teams and functions. Remove bottlenecks and eliminate unnecessary layers. 5. Capabilities Build repeatable, high-impact capabilities using the right people, processes, and technologies. Ensure the entire operating model reinforces these strengths. Execution Best Practices Bring the model to life with these practical guidelines: 1. Align Structure with Value Creation Organize around where and how value is created. Enable better decisions by balancing scale with local autonomy. 2. Design Around the Customer Don’t just optimize for internal efficiency. Make sure the operating model reflects and prioritizes customer needs. 3. Build to Win Identify the few things your company must do exceptionally well—and structure teams, systems, and processes to deliver them at scale. 4. Use Principles, Not Bureaucracy Empower teams with simple, clear decision-making principles. Avoid rigid rules that slow execution. Agility is a competitive advantage. The Bottom Line An effective operating model translates strategy into action—faster, more effectively, and with staying power. It enables better decisions, stronger execution, and sustained growth. Let your operating model be more than a plan. Make it your bridge from strategy to execution—and the engine of high performance.

One of the fastest ways to create frustration in an organization is surprisingly simple: Nobody knows who owns the work. I've seen projects stall, deadlines get missed, and teams become frustrated, not because people weren't capable, but because roles and decision-making weren't clearly defined. That's where RACI and DACI come in. RACI helps define ownership and execution: 🔹️Responsible: Who is doing the work? 🔹️Accountable: Who owns the outcome? 🔹️Consulted: Who provides input? 🔹️Informed: Who needs updates? One of the most important rules of RACI: there should only be one Accountable person. Shared accountability often turns into no accountability. DACI focuses on decision-making: 🔹️Driver: Who is moving the process forward? 🔹️Approver: Who makes the final decision? 🔹️Contributors: Who provides expertise and recommendations? 🔹️Informed: Who needs to know once the decision is made? I find RACI especially helpful when clarifying operational responsibilities and DACI incredibly useful when decisions involve multiple stakeholders. Both frameworks solve the same problem: Ambiguity. When people know what they're responsible for, what they're accountable for, and where they fit in the decision-making process, teams move faster and with far less frustration. Clarity may not be the most exciting leadership topic, but it is one of the most powerful. #leadership #healthcareleadership #operations #management #organizationaldevelopment #continuousimprovement