18d • Data for AI
🏛️ The "Minimum Viable Governance" Rule for 2026
A new report from StateTech (Feb 2026) aimed at government agencies reveals a universal truth for the private sector too: AI doesn't fix broken data; it amplifies it. When you feed an AI with "imperfect data" (silos, gaps, bias), you don't just get bad answers—you get hallucinations at scale.
The Solution?
"Minimum Viable Governance" (MVG). Stop trying to fix all your data at once.
Instead:
- Target Specific Use Cases: Don't govern for the sake of governing. Govern the data needed for that specific AI pilot.
- Automate Quality Checks: AI eats data faster than humans can verify it. If your quality checks aren't automated, you are already too slow.
- Human-in-the-Loop: Accountability cannot be outsourced to an algorithm.
You don't need a "perfect" data foundation to start AI. You need a governed one.
The difference? One is a fantasy; the other is a strategy.
Let’s Discuss:
- The "Good Enough" Trap: Are you assuming your data is "good enough" just because your current dashboards work? (Hint: AI will disagree).
- MVG Strategy: If you had to pick just one dataset to govern perfectly today to enable an AI agent, which one would it be?
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🏛️ The "Minimum Viable Governance" Rule for 2026
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