Maximizing Human Skills in a Technological Era

Most business failures in 2026 will not be caused by bad strategy. They’ll be caused by irreversible decisions made while the assumptions are shifting. Not politics. Operating conditions. Across every company size, the same pressures are now common: margin shocks from policy changes, supply chain discontinuities, AI governance exposure, and reputational narrative speed. When those variables move faster than planning cycles, the risk is simple: The decision gets locked. Then reality changes. Decision Integrity is how you prevent that. It is not a mindset. It is controls. Assumptions made explicit. Evidence thresholds defined. Stop conditions agreed. Tripwires monitored. Downside ownership assigned. Irreversible steps sequenced. If your team is moving fast, your advantage is not speed. It is assurance.

Collapse Is a System Event, Not a Personal One When AI-adopting firms destabilize, the explanation usually sounds like this: • “People are overwhelmed.” • “Teams can’t keep up.” • “Leadership alignment is breaking.” • “We need better habits, better processes, better culture.” Those explanations are comforting. Because they keep the problem human-sized. They’re also wrong. What’s showing up inside AI-accelerated firms is not psychological strain. It’s system failure. Collapse doesn’t begin with emotion. It begins with desynchronization. When identity, cognition, and systems stop operating at the same speed, the organization loses coherence. Decisions stop stacking. Priorities stop holding. Execution becomes volatile. And only then do emotional symptoms appear. Anxiety. Doubt. Restlessness. Control behaviors. Reset cycles. These are not causes. They are indicators. They are what a system expresses when it can no longer coordinate itself. In slow environments, collapse was rare. Friction buffered misalignment. Time absorbed errors. Effort masked incoherence. AI removed the buffers. Now small gaps become operational instantly. A slight identity mismatch becomes hesitation. A minor cognitive gap becomes overwhelm. A loose system becomes chaos. This is why modern collapse feels sudden. It isn’t. It’s finally visible. The mistake organizations make is intervening at the symptom layer. Workshops. Motivation programs. Process redesigns. Tool swaps. But collapse does not originate in behavior. It originates in architecture. Until the operating layers are synchronized, every intervention treats output while the system continues to fracture upstream. This is not a morale problem. It’s a coherence problem. And coherence is architectural.

Digital transformation isn't just about technology. It's about people. Every system we build. Every process we automate. Every decision we digitize—it impacts real lives. The question isn't "Can we?" It's "Should we?" Ethics must lead innovation. Not follow it. What values are guiding your transformation? #DigitalTransformation #EthicalLeadership #SystemsThinking #LeadershipDevelopment #PurposeDriven

People I admire: Kelly McGannon, MAR, MA For two decades, Kelly McGannon worked where the future quietly announces itself before the rest of us notice. Inside the CIA, she led strategic analysis on emerging technologies that would reshape national power long before they became headlines. Artificial intelligence. Quantum systems. Fusion. The vulnerabilities and resilience of U.S. critical infrastructure. Her work did not stay on briefing slides. It altered policy. It helped drive Presidential Executive Orders, Congressional legislation, and formal investigations at the highest levels of government. She served two Presidents as a Senior Intelligence Officer on the President’s Daily Brief staff, joining them overseas to ensure that the most consequential decisions rested on clear-eyed assessments of rapidly changing threats and capabilities. Within the Agency, she became known as someone who could take on problems others avoided. Operational bottlenecks. Cultural inertia. Technical uncertainty. She earned that reputation the hard way, through solutions that worked, and through leadership that shifted how teams thought and acted. The National Intelligence Meritorious Unit Citation came twice. What makes McGannon unusual is not just the scale of what she handled, but how she thinks about it. Before intelligence work, she lived in academia, studying how cultures use art to shape collective meaning. She sees the same forces at play in technology today, tools that do not just solve problems but quietly reorder values, power, and identity. That perspective gave her an edge in a system that often focuses on hardware and code while missing the human consequences underneath. Now, as an executive coach, she works directly with leaders navigating complexity, pressure, and moral ambiguity. The throughline is clear. Whether briefing a President or coaching a founder, Kelly McGannon stays focused on how people make decisions when the stakes are real and the future is still forming.

#FridayReflections - The Law of the Instrument in Organizations There is a famous saying: “If all you have is a hammer, everything looks like a nail.” That is the Law of the Instrument, and it shows up in organizations more often than we realize. We build strong teams with deep expertise – developers who see code, consultants who see process, sales who see opportunities, and leaders who see strategy. The problem is NOT skill. The problem is when one’s primary skill – the skill that has propelled them to their current stature - becomes the only lens used to interpret every challenge. This is our natural inclination, to lead with our strengths. It is much harder to think about a challenge from multiple perspectives, including those we may not be experts in. I have seen teams try to solve: People have problems with technology. Cultural issues with process. Strategic questions with tactical fixes. Not necessarily because it is the right fix for the problem - but because they are reaching for the tools, they know best. I remember a moment in my career at Samsung, where a cross-functional team was struggling with low adoption of a new product. The initial instinct was to redesign the software - better screens, more features, faster workflows. But when we paused & spoke to users, the real issue was not technology at all. It was fear of change & lack of communication. No amount of code could fix what was fundamentally a human problem. That experience stayed with me. Over time, this creates invisible silos of thinking. Knowledge becomes narrow instead of expansive. Innovation turns into optimization. We get very good at improving solutions of yesterday for the challenges of tomorrow. Real organizational growth doesn’t come from having better hammers. It comes from knowing when to put the hammer down and pick up a different tool – LISTENING, QUESTIONING, LEARNING & COLLABORATING. The strongest teams I have worked with are not necessarily the smartest in a single domain, but rather are the most curious across multiple domains. They ask: What am I missing? Who else should be in this conversation? What would this look like through another lens? Can you give me your perspective? That is where real organizational innovation lives - not in individual brilliance, but in collective perspective. The future belongs to teams that are T-shaped: deep in one skill, wide in awareness. Teams that invest Not just in EXPERTISE, but in unlearning. Not just in SPEED, but in sense-making. Because growth is about seeing further. Am I solving this with the right tool, or just the familiar one? #LeadershipWisdom #LawOfTheInstrument #OrganizationalGrowth #SystemsThinking #HumanCenteredLeadership #CrossFunctionalTeams #CollectiveIntelligence #LearningCulture #Unlearning #TShapedSkills #InnovationMindset #StrategicThinking #ChangeLeadership #FutureOfWork #TeamCulture #PerspectiveMatters #CuriousLeadership

Digital transformation fails when companies treat it as a technology project. It's not about buying more software. It's about business sovereignty. At The IT Company, we've identified three interdependent pillars that work like a three-legged stool. If any one of them is weak, well the entire structure risks erosion: Well Managed IT — The foundation of stability You cannot innovate from a position of instability. Security, reliability, compliance must be rock-solid first. Data Sovereignty — The asset of intelligence Your data unified, centralized, and OWNED by you. Not scattered across vendor platforms you don't control. Innovation Mindset — The people multiplier Technology is powerful, but people make it purposeful. Internal champions who can turn data into competitive advantage. Most businesses have #1. Some are working on #3. Almost none have #2. And that's the pillar that matters most in the AI age. Greg Kenny #DigitalTransformation #BusinessStrategy #Leadership #Innovation

I’ve come to think most organisations don’t have an intelligence problem. They have an organisational design problem. Everyone says they want “better intelligence”, but the way some teams are set up pushes intelligence into a production mill of reports, briefs, and dashboards where we end up in reactive situations over time. It's because some systems reward output and certainty, while good intelligence relies on judgement, integration, and being comfortable with ambiguity. I also think we underestimate how much hierarchy and compartmentalisation get in the way. Intelligence work needs context to travel. It needs analysts and collectors talking, and it needs decision-makers hearing uncertainty without treating it as something to avoid. When information is locked into silos or pushed up and down rigid chains, the assessment risks sacrificing timeliness and impact. Then there’s the external pressure. Social media, AI, cyber, privatised companies, all of it has expanded what we can see and how fast it moves. Leaders get used to instant visibility and start expecting instant answers. I believe that’s why some intel teams end up producing more rather than thinking better. The speed of the environment starts to dictate the speed of judgement.  If I had to narrow it down, organisations need to decide what they want intelligence to be. If it’s a production line, fine, you’ll get lots of products. If it’s a sense-making function, then structure has to change: removing siloes, clearer questions, better integration into decision-making, and permission for analysts to say “we don’t know yet” without getting punished for it. That’s the difference between intelligence for intelligence sake and intelligence that actually has an effect. #intelligence #thinkingoutloud #competition #compartment #learning

"Why do we have to grow? Can't we just stay this same size and focus on the clients and the team we have?" My default answer has always been that we grow to open opportunities for advancement to our future leaders. This is still true, but technology offers a compelling new answer: In the next few years, AI will replace (conservatively) 30-40% of the work CPA firms are performing and billing today. With 30-40% additional capacity, we have two options: 1) add work 2) reduce capacity Donovan CPAs is committed to a people-first mission. The clear best option for a people-first firm is to add work and retain our team. Growth is a people strategy. Stagnation is heartless.

The future doesn’t arrive in a slide deck. It shows up on a shared screen, half-formed, moving faster than any one person can fully explain. And trust isn’t built by predicting what happens next. It’s built by being present while it unfolds. The most meaningful consulting work rarely happens standing at the front of the room performing expertise or selling certainty. It happens when we sit alongside clients, share the same experience, and help make sense of what we’re seeing together. People trading perspectives. Noticing different details and asking better questions, creating space for clarity to emerge. Being present means listening before advising. It means offering perspective without forcing direction. It means staying calm when decisions carry weight and consequences. And sometimes it’s simply saying, “You’re not alone in this.” Even with AI in the room, this doesn’t change. Machines can process the plot at speed. Humans supply meaning, build a narrative, and tell the story. We bring context, ethics, judgment, and the lived reality of accountability. The rituals still matter: sitting side by side, staying engaged, building trust through consistency. Sometimes that trust is built one shared insight at a time, the shared experience, and, yes, occasionally, one shared plate of nachos. Consulting, at its best, is not about standing out. It’s about standing with. That’s how trust is earned. And how fundamental transformation begins.