Find the 15-30% AI waste hiding in your org's spend - Coriven Proof

Hey Product Hunt — I'm Michael, founder of Coriven. I built Proof because I kept seeing the same problem: companies adopting AI tools aggressively but having zero visibility into what they were spending, what was wasted, and what was a compliance risk. The CFO sees a growing line item. The CISO doesn't know which AI tools have access to company data. Engineering has three overlapping AI subscriptions per developer. Nobody has the full picture. Proof connects to identity providers, CASBs, expense systems, and AI provider APIs to build that full picture. Then it runs 18 waste detection rules I designed specifically for AI spend patterns — not generic SaaS rules bolted onto an existing platform. The thing I'm most proud of technically: every single data point is confidence-tagged as verified, calculated, or estimated. When you show a board a number, they should know whether it came from an API or a model. No other platform does this. We're finding 15-30% recoverable waste in every organization we assess. For a company spending $1M/year on AI, that's $150K-$300K back — and the platform costs a fraction of that. Would love feedback on the approach. Happy to answer any questions about the technical architecture or how the waste rules work.