Many organizations view AI adoption as a binary switch—you’re either using it, or you’re not. But the reality is a nuanced 5-step progression.
In this video, we break down the AI maturity curve, taking you all the way from strictly regulated “Gated Access” to fully autonomous “AI-Native” operations. Discover how the role of the engineer shifts from hands-on creation to steering by intent, and learn how to identify exactly where your team currently sits on this curve.
Whether you are a developer, a tech leader, or an executive, understanding this framework is critical for scaling your AI operations securely and efficiently.
📌 What You’ll Learn:
Stage 1: Gated Access – Why regulated industries start here and how to move forward.
Stage 2: Assisted Use – Supervised pair programming with your first AI agent.
Stage 3: Parallel Orchestration – Managing 5-10 agents at once to clear complex backlogs.
Stage 4: Supervised Autonomy – AI writes the code, humans provide the context.
Stage 5: AI Native – Hundreds of agents running autonomously while you monitor by exception.
⏱️ Chapters / Timestamps:
0:00 – The AI Binary Myth
0:14 – Stage 1: Gated Access
0:30 – Stage 2: Assisted Use
0:47 – Stage 3: Parallel Orchestration
0:58 – Stage 4: Supervised Autonomy
1:13 – Stage 5: Fully AI-Native
1:30 – The AI Diagnostic Table
1:42 – Where Does Your Team Sit?
Don’t forget to share this framework with your leadership team to define your next steps!
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