Lex

Imagine an AI gives you an answer that costs your company thousands of dollars. You challenge the decision, but how do you prove what the AI actually said at the time? Screenshots can be edited. Logs can be changed. And relying on the same system you’re investigating isn’t always enough. This is an interesting problem @Minima_Global is addressing with AI Logger. Here’s how it works. AI Logger creates a protected record of captured AI inferences, with cryptographic proofs that can be independently verified later. In simple terms, it helps you keep evidence of what an AI produced and check whether that record has been altered. Think about the possibilities: Businesses auditing AI-generated decisions. Developers investigating unexpected AI outputs. Organisations keeping verifiable records of AI interactions. One thing worth understanding: this doesn’t mean AI Logger guarantees that an AI gives correct answers. It means that when an answer is questioned, there’s a way to check the integrity of the evidence. AI will make mistakes. That’s inevitable. But losing the ability to verify what happened shouldn’t be part of the problem. I think this is an important conversation as AI becomes part of more everyday business operations. You can test the audit trail here: ailogger.integritas.technolo…