Strategic Operational Excellence

History was made yesterday, yet many overlooked the significant headline. Operation Epic Fury not only struck Iran but also marked the first combat deployment of LUCAS — the Low-cost Unmanned Combat Attack System. This $35,000 kamikaze drone was launched at scale alongside fighter aircraft and naval vessels. The concept of “small, agile, and many” is now a reality in warfare. Consider this: LUCAS is reverse-engineered from Iran’s own Shahed-136, the same drone that has posed threats in the Red Sea and targeted our bases across the Middle East. We recognized the threat, adapted, and delivered a countermeasure at a fraction of the cost of a cruise missile. This achievement is not mere luck. It results from leadership demanding speed, streamlined acquisition processes, and industry responsiveness. Task Force Scorpion Strike established this capability in mere months, setting a new model. However, we must not declare victory based on a single data point. The true test lies in our industrial capacity, acquisition discipline, and strategic will to deploy thousands of these systems before the next conflict arises. China is observing closely. They have analyzed Ukraine and the Red Sea, understanding the potential of a distributed, low-cost unmanned force against a military reliant on large, expensive, complex platforms. The era of the $35,000 weapon has begun. The pressing question is whether we are building the necessary force to match this evolution or still engaged in debates over requirements. What insights does yesterday provide regarding the future direction of defense investment.

The United States Department of Defense has been quietly rebuilding its bases in the #Pacific, with a significant focus on the island of #Tinian in the Northern Mariana Islands. This initiative is part of a broader strategy to enhance 'Agile Combat Employment' amid growing tensions with China. Tinian was the launch site for the atomic bombings of Hiroshima and Nagasaki during World War II, and sits amongst other US outposts like Guam, Okinawa, and Ulithi Atoll. Tinian's Air Base was decommissioned in 1947, but is now being rebuilt from overgrown jungle to serve as a strategic airfield, providing a stratgic dispersal point for US forces in the Pacific. The United States Air Force has allocated $409m to revitalize Tinian’s airfield. This funding supports infrastructure development, including fuel tanks, parking aprons, and taxiway extensions, and strategic bomber & fighter capabilities. By diversifying its military footprint, the U.S. enhances its ability to respond swiftly to conflicts (read: #Taiwan). The revitalization of Tinian represents distributed operations to mitigate regional risks from 'adversaries' (read: #China). The US's great defensive strength of 'distance' (being straddled by 2 huge oceans) is also a hinderance to offensive force projection. It may take a Carrier Taskgroup 5-10 days to mobilise and deploy across the Pacific, where a Chinese invasion force could strike Taiwan in a matter of hours. Therefore, strategic forward bases become equally as important now as they were during WW2. Tinian is set to become a key node in the US military’s Pacific operations, and the broader US base network in the Pacific is being quietly rebuilt. #IndoPacific #maritime #defence Ben Dullroy US Navy United States Marine Corps US Army Royal Australian Navy

Ukraine’s Octopus interceptor drone matters because it offers a cheaper and more scalable way to defeat Iranian-designed Shahed or Geran-type attack drones before they reach cities, power infrastructure, or military targets. Built as a VTOL interceptor, it can launch quickly from dispersed positions without a runway, accelerate to more than 300 km/h, and use autonomous terminal guidance with image recognition to close in on slow, low-flying drones even at night, at low altitude, and under electronic jamming, which are exactly the conditions in which Shahed-class systems are often employed. In practice, that means Octopus can create a dedicated drone-against-drone defensive layer that hunts incoming one-way attack UAVs by direct interception, while preserving expensive missile defenses for higher-end threats such as cruise or ballistic missiles. Its real strategic value is not just technical performance but volume: once produced in large numbers, systems like Octopus can blunt mass Shahed-style saturation attacks by making each incoming drone much easier and much cheaper to kill. #Ukraine #OctopusDrone #InterceptorDrone #CounterUAS #CounterDrone #Shahed #Geran #IranianDrones #AirDefense #DroneWarfare #VTOL #ElectronicWarfare #AutonomousGuidance #MilitaryTechnology #DefenseInnovation

"Many militaries are expanding the scope and speed of incorporating more complex data-driven techniques into the processes of determining courses of action, including when it comes to the use of force. These developments raise questions about the changing roles played by humans and machines, or human-machine interaction, in warfare. "This report contributes to ongoing debates on AI DSS by reviewing main developments and discussions surrounding these systems and their reported uses. It takes stock of what is known about AI DSS in military decision-making on the use of force, including in ongoing war zones around the globe. Section 2 provides a brief overview of the roles that AI DSS can play in use-of-force decision-making. Section 3 reviews main developments that we treat as indicative of trends in AI DSS in the military domain." "It focuses on three concrete empirical cases, namely the United States (US)’ Project Maven initiative, as well as systems reportedly used in the Russia-Ukraine war (2022-) and the Israel-Hamas war (2023-). Section 4 discusses opportunities and challenges associated with these developments, drawing inspiration from ongoing debates in the media and expert communities. The report concludes with some recommendations on potential ways forward to address the challenges discussed and with some questions raised by AI DSS that deserve further attention in the global debate on AI in the military domain." From Anna Nadibaidze Dr Ingvild Bode Qiaochu Zhang Center for War Studies, University of Southern Denmark

The rapid rise of combat drones illustrates a classic pattern described by Clayton Christensen. Drones represent a 𝐥𝐨𝐰-𝐞𝐧𝐝 𝐝𝐢𝐬𝐫𝐮𝐩𝐭𝐢𝐯𝐞 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲: initially dismissed as inferior to established systems, yet capable of reshaping the entire competitive landscape. For decades, the Western defense industry focused on increasingly sophisticated missiles, precision bombs, and air-defense systems. These technologies became extremely advanced—and extremely expensive. In that environment, small and relatively crude drones seemed strategically irrelevant. Yet disruption often starts exactly there. Take the Iranian Shahed drones now widely used in conflicts. They are cheap, simple, and can be produced in large numbers. Their real power lies not in individual performance but in scale and swarm tactics. When launched in large waves, they overwhelm traditional air-defense systems designed to intercept a limited number of high-value missiles. Using million-dollar interceptors against drones costing a few tens of thousands of dollars is economically unsustainable. This is classic Christensen logic: incumbents optimize for high-end performance while the disruptive technology improves rapidly in a different dimension—in this case cost, scalability, and operational flexibility. But the real lesson is not only technological.Ukraine has shown that the decisive capability lies in how drones are used: agile combat strategies, distributed command structures, and operators who can adapt in real time. Human intelligence, battlefield learning, and tactical creativity matter as much as the hardware itself. It all has to go together. For Europe and the wider West, the implication is that defense strategies must shift from a narrow focus on expensive platforms toward learning systems that combine low-cost technology, rapid experimentation, and shared operational intelligence. And this knowledge already exists: Ukraine today is probably the world’s most advanced laboratory for drone warfare. Western militaries should accelerate collaboration and learning from that experience. The rise of low-cost drones and other low-end digitalized warfare technologies also forces a reconsideration of how military budgets are optimized. Rather than automatically increasing defense spending, the priority should be to reassess how military effectiveness can be maximized by reallocating resources—shifting a larger share of investment toward scalable, low-cost systems such as drones. #DisruptiveInnovation #Drones #MilitaryInnovation #DefenseStrategy #Ukraine #Security #ClayChristensen #DroneWarfare

I’ve sat in boardrooms where every second counts—and legal’s voice is often the last one in the room and the first one people want to rush past. But here’s the hack: if you frame legal insights like a strategist, not just a guardian, you don’t get tuned out—you lead. Here are three phrases that instantly upgrade your legal POV from blocker to board-level strategist: 1️⃣ “The tradeoff we’re managing is...” Executives don't want red flags—they want decision-making clarity. This phrase reframes your input as a business tension, not a veto. It signals you understand the levers and are helping manage risk vs. speed, cost vs. coverage, scale vs. compliance. Use it when: navigating IP risk in an AI deployment or debating indemnity in vendor deals. 2️⃣ “This gives us optionality if…” Nothing earns strategic credibility faster than showing you’re designing for the future. This line conveys foresight and flexibility—whether it's preserving data rights or building in audit mechanisms, it shows you’re not just mitigating risk, you’re enabling future action. Use it when: structuring contracts, building out AI governance, or advising on cross-border expansions. 3️⃣ “What this unlocks is…” Legal doesn’t just prevent bad outcomes—it enables better ones. This phrase turns legal guidance into a value amplifier. You’re not saying no. You’re revealing what’s possible. And yes, board members notice. Use it when: proposing process changes, approving a licensing model, or greenlighting external disclosures. Why me? Because I’ve been in the trenches of AI vendor contracts, life-altering sale deals, defining milestone decisions, startup pivots, global expansions, high-profile regulatory investigations—and I’ve seen how legal’s language can make or break influence. I’m not sharing theory. I’m sharing tactics I’ve used—in real rooms, with real stakes. Want to go deeper? Stanford’s latest take on Navigating AI Vendor Contracts and the Future of Law is worth a read. It lays out why legal voice is evolving—and how contracts are the new code of strategy. https://lnkd.in/gpSMyg9t Here’s the insight: Lawyers who frame risk as decision, optionality, and unlocks—get remembered, respected, and re-invited. So: Which of these phrases will you try in your next meeting? Or better yet—what’s your power phrase that wins the room? Drop it in the comments. Let’s build a strategic legal toolkit—together. -------- 🚀 Olga V. Mack 🔹 Building trust in commerce, contracts & products 🔹 Sales acceleration advocate 🔹 Keynote Speaker | AI & Business Strategist 📩 Let’s connect & collaborate 📰 Subscribe to Notes to My (Legal) Self

"Agile Combat Employment focuses on the ability to disperse, recover and rapidly resume operations in a contested or austere environment." - General (Retd) Brian Killough, former Deputy Commander Pacific Air Forces and Deputy Theater Air Component Commander to the Commander, U.S. Indo-Pacific Command. In 2021, then Major James Guthrie penned 'Understanding ACE' for the Logistics Officer Association: https://lnkd.in/gEG9SyKn Major Guthrie's piece discussed Agile Combat Employment conceptually, as a strategic concept developed by the United States Air Force to enhance operational flexibility and survivability in contested environments. Emphasising dispersed operations, rapid mobility, and adaptive logistics, - Guthrie posited that ACE would enable forces to operate from multiple forward locations rather than relying on large, vulnerable main operating bases. The recent strikes on Al Udeid Air Base in Qatar saw real-world ACE for Survival, activated with minimal warning before hostilities, dispersing forces from the main operating base to survive initial attacks and quickly reconstitute. The Royal Australian Air Force also recognises the importance of ACE to survivability as well in projecting air power through a degraded and contested operating environment, and is actively integrating ACE principles into its operational concepts and training exercises to enhance its ability to operate in contested environment https://lnkd.in/gx_WxC8P

Your AI strategy is only as strong as your operating model. Turning vision into execution requires three deliberate shifts. 1/ Design the organization around AI, not beside it In the early stages, it makes sense to centralize AI expertise to establish standards, tooling, and governance. But execution fails when AI remains isolated as a function. To scale, AI must be woven into how the organization actually runs: - Clear interfaces between technical teams and business owners - Defined handoffs between AI systems and human operators - Explicit roles for who designs the system, who monitors it, and who intervenes when it fails If AI lives next to the business instead of inside it, adoption stays superficial and accountability remains unclear. 2/ Make ownership explicit before automation expands Execution breaks down fastest where ownership is assumed rather than assigned. Every AI-enabled workflow needs: - A named owner accountable for outcomes - Clear escalation paths when the system encounters ambiguity - Agreed rules for when AI defers, pauses, or hands control back to humans AI does not eliminate responsibility. It concentrates it. Without clear ownership, organizations gain speed at the cost of trust. 3/ Sequence before you scale One of the most common execution mistakes is layering AI onto unstable workflows. Effective teams move in order: 1. Stabilize the workflow and define exceptions 2. Assign ownership and escalation paths 3. Introduce AI with constrained scope 4. Expand autonomy only after reliability is proven Skipping steps creates systems that perform well in demos but fail under real-world pressure.

Took a session in PMI Chennai couple of years before (2023) titled "Disciplined Agile". Proud to be PMI Disciplined agile Senior Scrum Master (PMI DASSM). Disciplined Agile (DA), a PMI offering, stands out from other agile approaches by being a toolkit rather than a rigid framework, emphasizing flexibility and allowing teams to choose their "Way of Working" (WoW) tailored to their specific context and needs. Here's a more detailed breakdown of how DA differs: Key Differences: 1) Toolkit vs. Framework: Unlike fixed frameworks like Scrum or SAFe, DA provides a collection of strategies, techniques, and guidance, empowering teams to select and combine the best elements for their situation. 2) Context-Specific: DA encourages teams to choose their WoW based on their unique challenges, rather than imposing a one-size-fits-all approach. 3) Hybrid Approach: DA integrates ideas and practices from various agile, lean, and traditional methodologies, allowing for a tailored and scalable solution. 4) Freedom to Choose: DA emphasizes the freedom to choose, recognizing that each project and organization is different and will have unique needs. 5) Focus on Business Agility: DA aims to help organizations achieve true business agility by streamlining processes, improving collaboration, and enabling continuous learning and improvement. 6) Supports both project and product delivery: DA supports approaches for project way of Agile delivery along with the product way and continuous flow-based approaches. 7) Embraces various good ideas: It includes good ideas and practises from Scrum, Lean, Kanban, Scaled Agile etc. all these ideas and practises are cohesively integrated in Disciplined Agile Benefits of DA: 1) Increased Flexibility: Teams can adapt their WoW to changing circumstances and evolving needs. 2) Improved Collaboration: DA promotes a shared understanding of agile principles and practices, facilitating better communication and collaboration across teams. 3) Enhanced Learning: DA encourages a culture of continuous learning and improvement, helping teams to identify and implement better ways of working. 4) Better Decision-Making: DA provides guidance and options, helping teams make informed decisions about their WoW. 5) Scalability: DA can be scaled to meet the needs of both small and large organizations.