Undefined authority is.
Most enterprise discussions around AI focus on concerns like:
👉 What if the model produces incorrect output?
👉 Who is responsible when AI causes damage?
👉 Can we trust AI decisions at all?
These are valid questions — but they’re not new.
People make mistakes too.
They misunderstand context, act on incomplete information, or reach incorrect conclusions.
Organizations don’t manage this by assuming perfect judgment. They manage it through clear authority, constraints, accountability, and traceability.
With AI, we often focus on models and prompts, but skip the harder question:
👉 What authority does this AI actually have?
👉 On whose behalf is it acting?
👉 What prevents incorrect actions from going unnoticed or uncontained?
💡 Governance fails when decision authority and accountability are left inside a probabilistic component instead of being enforced by the surrounding system.
❓ How is AI currently adopted in your organization?
1️⃣ We don’t use AI yet
2️⃣ Ad-hoc use (chat tools)
3️⃣ We purchased an AI platform
4️⃣ AI is embedded in business processes and operating model