Disruption Now® is a tech-empowered platform helping elevate organizations in entrepreneurship, social impact, and creativity. Through training, product development, podcasts, events, and digital media storytelling, we make emerging technology human-centric and accessible to everyone. This week I've been reflecting on what it actually means to close a quarter in 2026 — because the teams that are winning aren't just reviewing their numbers, they're auditing their operating system.

Here we are at the end of Q1, and if your team's quarterly review looks the same as it did two years ago — a spreadsheet, a deck, a few "lessons learned" — you've already lost ground. Most organizations are still treating the quarter-end review as an accounting exercise: what did we hit, what did we miss, who's responsible. That ritual was barely enough before AI. In 2026, it's a liability. The hidden problem isn't that your team performed poorly in Q1. The hidden problem is that you don't yet have a system to measure whether AI actually changed how your team operates — and without that measurement, you have no real foundation for Q2.

At Disruption Now®, we've spent Q1 building and implementing a new accountability model for our team. Every repetitive task on the team's plate gets measured against four questions: Do we have an SOP that aligns with our system? Is that SOP documented in our project management platform? Has the team member built a project, a skill, or — where appropriate — an agent to handle it? And what do the results look like in terms of time saved, decisions made faster, and money preserved? These are the hard operational metrics baked into our weekly check-ins and our quarterly team meetings. We don't have all the answers. But what I am certain of is this: there is a new operating system for teams, and AI is its engine.

The data support the urgency. According to a 2025 OpenAI enterprise report, workers who use AI tools regularly save between 40 and 60 minutes per day — and the most advanced users reclaim more than 9 hours per week. A 2025 Deloitte survey of more than 3,200 senior leaders found that worker access to AI rose by 50% last year, and twice as many leaders reported a transformative impact than in the prior year. Yet only 34% of organizations are truly reimagining how their businesses operate. That gap — between adoption and transformation — is exactly where your Q2 opportunity lives.

Think about your smartphone for a moment. The hardware matters, but what actually determines what your phone can do is the operating system running underneath every app. Your team is no different. You can hire sharp people, set ambitious goals, and build a solid culture — but if the operating system your team runs on hasn't been updated, the apps (your workflows, your decisions, your outputs) will never reach their potential. AI is not an app you layer on top of your existing system. It is the update to the system itself.

What does that update look like in practice? It looks like your team is not sending a single repetitive email without first asking whether that email should be templated, automated, or handled by an agent. It looks like every decision that used to require a 90-minute meeting is being informed by an AI-generated synthesis that your team reviews in 15 minutes. It looks like your SOPs are not just in a shared drive gathering dust, but are actively embedded in your project management system — tied to the skills your team has built and to agents who execute without friction. It looks like AI implementation is a standing agenda item at every weekly team meeting, not a once-a-year "innovation day."

According to McKinsey's 2025 State of AI report, the top 6% of AI high-performing organizations — those seeing 5% or more EBIT impact from AI — share three traits: senior leaders who actively model AI use, workflows that have been fundamentally redesigned (not just AI-augmented), and a consistent practice of tracking KPIs for every AI solution deployed. Those organizations are not smarter than yours. They just decided earlier to treat AI as infrastructure, not a feature. If you're reading this at the end of Q1, that decision is still in front of you.

So why haven't more organizations made this shift? The answer isn't access to tools, it's the absence of a measurement culture around AI. Most teams have given their people access to AI tools and called it an AI strategy. That's like giving your team laptops and calling it a digital transformation. Access is not adoption. Adoption is not integration. And integration without measurement is just expensive experimentation. A February 2026 Fortune analysis found that, despite the majority of S&P 500 companies mentioning AI positively in earnings calls, broader productivity gains remain elusive because most organizations are automating individual tasks within broken processes rather than redesigning those processes.

The deeper issue is cultural. AI adoption that actually transforms how a team operates requires something most organizations are unwilling to demand: accountability at the task level. It's not enough to say "we encourage AI use." You have to measure it. Which tasks still have no SOP? Which SOPs exist but aren't documented in the system your team lives in? Which team members have built workflows, skills, or agents for their highest-frequency, lowest-value tasks — and which haven't? These are uncomfortable questions because they make the gap visible. But the gap was always there. AI just finally makes it measurable.

A 2025 ManpowerGroup survey of nearly 14,000 workers across 19 countries found that while regular AI use increased 13% in one year, worker confidence in the technology's utility dropped 18%. That's not a technology problem. That's a culture problem. When teams are handed tools without structure, measurement, or clear expectations, they experiment without committing. And experimentation without commitment doesn't move the needle on a quarterly basis. Building the culture of AI-native operations is not fast work — but it is the most valuable work you can do this quarter.

The three-week window between Q1 close and Q2 momentum is the most underused strategic asset in your calendar. Most leaders spend it in planning mode — decks, OKR reviews, budget conversations. Powerful as those are, they miss the most important question: What does your team's AI operating system look like right now, and what needs to change before April turns into June?

Here's the framework we're using at Disruption Now®. Start with a task-level AI audit. Have every team member list their top 10 highest-frequency tasks. For each one, ask the four questions: Is there an SOP? Is it in the system? Has AI been applied? What's the measured result? You'll immediately surface two categories: tasks where AI is already saving time and energy, and tasks where the team is still running manually because no one has built the workflow yet. The second category is your Q2 priority list.

Next, build toward native AI integration — not addition. The goal is not to have your team do their work plus use AI. The goal is to redesign the work so that AI is embedded in how it is done. That means prompts that live in your project management system, not in someone's personal notes. It means agents that run recurring research, reporting, or communication tasks on a schedule. It means skills that your team builds once and reuses everywhere. According to NVIDIA's 2026 State of AI report, 42% of organizations now say optimizing AI workflows is their top spending priority — because they've learned that scattered AI use doesn't compound. Systems do.

Finally, make AI performance a Q2 metric. Not a vibe, not a culture initiative — a metric. How many SOPs did the team build or update? How many workflows were automated? How many hours did the team reclaim? At Disruption Now®, these numbers live in our weekly meeting agenda alongside revenue, pipeline, and project status. When AI performance is measured like a business outcome, teams treat it like one. This is how the culture shifts — not through inspiration, but through accountability. We can help you get there.

We built a one-page checklist that walks your team through the exact AI audit process we use at Disruption Now® — from task-level SOP review to measuring time saved and decisions accelerated. It's the fastest way to see where your operating system needs an upgrade before Q2 hits full stride.

Here's what I know after running this framework with our team: the gap between organizations that use AI and those that operate with AI is growing fast — and Q2 is where that gap becomes visible on the scoreboard. The teams that treated Q1 as a chance to build the operating system — to document the SOPs, embed the tools, train the habits, and measure the results — are stepping into Q2 with compounding advantages in speed, cost, and decision quality. The teams that didn't are going to spend Q2 doing what they did in Q1, just with higher expectations.

We don't have all the answers at Disruption Now®. What we do have is a clear conviction: AI is not a productivity hack. It is a new operating system for how teams think, work, and deliver value. It will take time to embed in your culture. It will require accountability structures that most organizations haven't built yet. But the window to build them is right now — at the end of Q1, before Q2 compounds the gap further. The organizations that move in the next 60 days will look very different by year-end than the ones that wait. This is not a technology decision. It's a leadership one.

For enterprise teams of 20+ looking to move from AI access to AI integration — let's talk. We help organizations build the measurement culture, SOPs, and workflow architecture that turns AI tools into compounding business results.

Disruption Now® interviews leaders focused on the intersection of emerging tech, humanity, and policy.

In Episode 191, Rob sits down with Dr. Richard Harknett — the first Scholar-in-Residence at US Cyber Command, NSA, and key architect of the US Cybersecurity Strategy 2023 — to tackle the most urgent questions at the intersection of AI and national security. From AI-powered health diagnostics to the reality of nation-state cyber threats running 24/7, Dr. Harknett delivers a rare look inside the systems meant to protect us — and what it will take for technology and policy to keep pace with the threat.

Keep Disrupting, My Friends.

Rob Richardson – Founder, Disruption Now® & Chief Curator of MidwestCon