Tools
AI Scaling Blockers
Use this diagnostic canvas to uncover and address the barriers preventing AI from scaling across the enterprise.
What is this for?
This tool helps teams go beyond surface issues when scaling AI and identify whether blockers are strategic, technical, organizational, or cultural.
Why this matters
Scaling AI doesn’t fail because of ambition, but because of hidden blockers that stall momentum. By making blockers explicit and actionable, this tool shifts the conversation from “why isn’t AI scaling?” to “what do we need to fix next?”
Step-by-step guide
Step 1
- Map current blockers across the four categories:
- Strategy & Organization (lack of clarity, scattered pilots, no ownership)
- Technology & Data (legacy IT, siloed or low-trust data, shadow IT)
- Governance & Operating Model (unclear roles, slow handoffs, weak guardrails)
- People & Culture (low fluency, skepticism, misaligned incentives)
Step 2
Discuss and cluster themes (e.g. repeated blockers across functions)
Step 3
Prioritize which blockers are most critical to remove in the next 6–12 months.
Step 4
Define targeted actions or enablers to address them.
Step 5
Revisit regularly to track progress and prevent new barriers from emerging.
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