As AI systems increasingly influence financial decisions, governance voting, and compliance workflows, trust becomes critical. On-chain attestations anchor AI outputs, model metadata, and execution logs to blockchain networks. By combining cryptographic hashing, decentralized identity, and smart contracts, organizations can verify which model version generated a prediction, under what configuration, and with what dataset reference. This reduces risks of model tampering, silent updates, or fabricated outputs. In high-stakes environments such as DeFi risk scoring or enterprise compliance, verifiable AI creates accountability. The future likely includes signed inference proofs and immutable audit trails as a default standard.