Which Stage Is Your Organization Actually In?

The following is adapted from Hyperadaptive: Rewiring the Organization to Become AI-Native by Melissa M. Reeve, coming May 2026 from IT Revolution.

Here’s an uncomfortable question: Where is your organization on the AI integration journey—really?

Not where your strategy deck says you are. Not where you announced you’d be in that town hall six months ago. Where you actually are, right now, with all the governance gaps and skill deficits and cultural resistance intact.

In Hyperadaptive, Melissa M. Reeve identifies five distinct stages that organizations move through on their way to becoming what she calls “Hyperadaptive”—enterprises that can sense, respond, and evolve at the speed of AI. Most organizations, Reeve argues, dramatically overestimate where they are on this journey. And that miscalculation is costing them.

The Five Stages

Stage 1: Laying the Foundation. This is base camp. The focus is on governance, psychological safety, and identifying an “AI North Star.” Organizations at this stage are establishing flexible guardrails for safe experimentation, identifying enthusiastic champions, and running low-risk pilots that prove value. The biggest trap here? Teams being too busy to learn the very tools that would save them time.

Stage 2: Process Optimization & Task Augmentation. This is the “Dual Engine” stage. Organizations are fixing broken processes while integrating AI—because if you add AI to a bad process, you just get bad results faster. Organizations here are building AI Activation Hubs to center expertise, success patterns, and metrics. The trap is isolated successes that don’t connect to business strategy.

Stage 3: Agents and Initial Automation. Now organizations are handing keys over to AI for specific workflows. The shift from humans doing tasks to humans managing AI doing tasks is significant. Organizations do this a small scale before ramping up. The trap is ignoring the human element as roles evolve.

Stage 4: Scaling AI. This is where organizations move from islands of automation to integrated ecosystems. AI becomes the connective tissue of the organization. Data and insights flow throughout value streams, not just up and down the hierarchy. The trap is scaling friction—legacy structures for budgeting and hiring fight the new fluidity.

Stage 5: Becoming Hyperadaptive. The organization is no longer a static hierarchy but a living system. It senses changes in the market and responds in near real time. Business strategy and AI strategy are indistinguishable. The trap is leaving humans out of the loop entirely.

The Honest Assessment

Most organizations claim to be at Stage 3 or 4. When Reeve digs into the reality, they’re usually at Stage 1—or haven’t even fully arrived there yet.

Here’s how to tell where an organization actually is:

You’re still in Stage 1 if:

• AI governance is unclear or inconsistent across the organization
• Teams need executive approval to experiment with new AI tools
• There’s no structured way to share AI learnings across departments
• Champions exist but aren’t formally supported or connected
• Fear about AI’s impact on jobs is widespread and unaddressed

You’re in Stage 2 if:

• You have AI Leads with dedicated time for integration work
• Process mapping happens before—not after—AI implementation
• Communities of Practice share learnings across boundaries
• Metrics track both operational improvements and capability development
• Decision-making increasingly incorporates AI-generated insights

You’re in Stage 3 if:

• Some workflows run with minimal human intervention
• Humans are actively managing AI agents, not just using tools
• You have clear frameworks for deciding what to automate
• Role evolution is being actively supported with reskilling
• Governance has evolved to address autonomous systems

You’re in Stage 4 if:

• AI integration spans multiple value streams
• Funding models have adapted to support fluid resource allocation
• Organizational structure has evolved to support AI-native workflows
• Cross-functional AI initiatives are the norm, not the exception
• Real-time data flows inform decisions throughout the organization

You’re approaching Stage 5 if:

• The organization adapts to market changes in near-real time
• Continuous learning is embedded in every process
• Humans and AI systems form a unified decision-making fabric
• Innovation happens at the edges without central coordination
• The distinction between “AI strategy” and “business strategy” has disappeared

Why the Gap Matters

The distance between where you think you are and where you actually are isn’t just an academic concern. It shapes every decision you make about AI investment, talent, and organizational design.

If you believe you’re at Stage 3 but you’re actually at Stage 1, you’ll make Stage 3 investments—launching ambitious automation initiatives—without the Stage 1 foundations to support them. You’ll skip governance and psychological safety work. You’ll underinvest in champions and learning networks. And you’ll wonder why your automation initiatives keep stalling.

This is why nearly 80% of AI initiatives fail. Organizations try to jump straight to Stage 4 or 5. They launch massive automations before they have governance (Stage 1) or optimized processes (Stage 2). They create chaos by scaling too fast, losing fidelity, and crashing hard.

Building the Muscle

Brad Miller, formerly Moderna’s Chief Information Officer, puts it simply: “Ninety percent of companies want to do GenAI, but only 10% of them are successful, because they haven’t built the mechanisms to transform their workforce.”

Those mechanisms are Stage 1 and Stage 2 work. They’re not glamorous. They don’t make for exciting press releases. But they’re the foundation everything else depends on.

Moderna achieved 100% generative AI adoption in six months not by mandating it, but by investing in those mechanisms: identifying power users, training AI Champions, establishing local office hours, building learning communities. They made time for AI learning, recognizing that this initial investment creates compounding returns.

The organizations that win won’t be the ones that jump furthest. They’ll be the ones that build the most solid foundation and progress deliberately, stage by stage, building capability at each level before reaching for the next.

Starting the Honest Conversation

So where is your organization, really?

The answer probably isn’t comfortable. But it’s the only place transformation can begin. You can’t rewire what you won’t honestly examine.

Melissa M. Reeve is the author of Hyperadaptive: Rewiring the Organization to Become an AI-Native Enterprise, coming May 2026 from IT Revolution. 

- About The Authors

Leah Brown

Managing Editor at IT Revolution working on publishing books and guidance papers for the modern business leader. I also oversee the production of the IT Revolution blog, combining the best of responsible, human-centered content with the assistance of AI tools.

Follow Leah on Social Media

•