AURORA is a software tool designed to create cryptographically sealed evidence packages for records of decisions made with the assistance of artificial intelligence. Its primary function is to provide a verifiable and tamper-evident chain of custody for AI decision data, ensuring that the integrity and authenticity of these records can be independently confirmed. The application generates evidence packages that include public verification capabilities, allowing any party to check the validity of a record without requiring access to the original system. The main features of AURORA include the creation of hash-chain continuity, which links successive evidence packages in a sequential and verifiable manner. Each package is signed with digital signatures to authenticate its origin and content. Additionally, the tool offers optional support for RFC 3161 timestamp evidence, enabling records to be anchored to a trusted time source. These features collectively allow for the production of evidence that can be publicly verified and that resists tampering or retroactive alteration. Typical use cases for AURORA involve scenarios where the output of an AI system must be auditable for compliance, legal, or regulatory purposes. For example, in finance, healthcare, or autonomous systems, decisions influenced by AI may need to be recorded in a way that can be later inspected by auditors or regulators. The workflow generally involves capturing the decision data and associated metadata, sealing it into a cryptographic package, optionally applying a timestamp, and then storing the package for future verification. Verification can be performed by anyone with access to the package and the public verification tools. From a technical perspective, AURORA relies on standard cryptographic primitives such as hashing and digital signatures. The hash-chain continuity ensures that any break or alteration in the sequence of records is detectable. The optional RFC 3161 timestamping integrates with external timestamp authorities to provide a trusted time reference. The tool is accessible via its website at auroraseal.com, where further documentation and implementation details are available.