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Vendor Lock-In and AI: Why Interoperability Is a Governance Issue

by iqentity | Dec 2, 2025 | AI Governance

Every AI deployment creates dependencies. The model architecture, the training pipeline, the inference infrastructure, the prompt engineering, and the integration code all accumulate switching costs that compound over time. Vendor lock-in is typically framed as a...

Why Your AI Ethics Policy Is Probably Theater

by iqentity | Dec 1, 2025 | AI Ethics, AI Governance, Compliance

I need to tell you something that will be uncomfortable if you’re the person who drafted your organization’s AI ethics policy. Or the executive who approved it. Or the compliance officer who filed it. Your AI ethics policy is almost certainly theater. I...

Accountability Chains: Who Is Responsible When AI Gets It Wrong?

by iqentity | Nov 25, 2025 | AI Governance

When an AI system produces a harmful outcome, the first question is always: who is responsible? The answer, in most organizations, is nobody. Or everybody. Which amounts to the same thing. Diffuse accountability is not a people problem. It is a structural one. AI...

AI Incident Response: What to Do When Your Model Fails

by iqentity | Nov 23, 2025 | AI Governance

Your AI system will fail. Not might. Will. The question is not whether you will face an AI incident but whether you have a response plan when it happens. Most organizations have incident response plans for security breaches, system outages, and data loss. Almost none...

Introducing Lore: Preserve What Your People Know, Long After They’re Gone

by iqentity | Nov 23, 2025 | Business Strategy, Development

Every organization bleeds knowledge. Retirements, reorganizations, departures. The institutional memory that took decades to build walks out the door in a banker’s box and a goodbye email. We built Lore to stop the bleeding. What Lore Does Lore is...
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