Errors when implementing AI in HR and how to avoid them

The digital transformation of Human Management areas in Mexico has gained an accelerated pace in 2026. However, the rush to automate has led many organizations to make structural mistakes that end up generating greater legal and financial contingencies than they sought to resolve. Implementing smart tools in the field of labor relations requires legal and technological rigor.

1. Confusing Simple Electronic Signature with Legal Certainty The most widespread mistake is hiring signature softwares that only save an image of the stroke or send a link via email. In the event of a dispute in court, this type of signature is easily objectionable, as it does not prove the real identity of the signer or the inalterability of the document.

• Sora's solution: Implement only the Cryptographic Signature with Facial Biometrics. This scheme performs real-time identity validation against official RENAPO registries with liveness detection checks, encrypting the act with unique keys (ed25519) through a non-transferable PIN governed by the zero-knowledge principle.

2. Assuming that AI performs procedures or reviews before IMSS A common misunderstanding among companies is believing that labor AI platforms replace government portals for social security procedures.

• The operational clarification: It is crucial to specify that Sora DOES NOT perform any procedure, review, or validation before IMSS. Sora's role focuses on internal labor compliance and preparing the employee's file, ensuring that contracts, addenda, and attendance records have full legal validity before any STPS inspection or tax review.

3. Creating fragmented files in isolated cloud folders Saving contracts in a common storage service without structure or automatic auditing creates a false sense of security. When a document expires or a critical annex is missing, nobody notices until an inspection arrives.

• Sora's solution: It maintains secure storage of contracts and labor documents in the cloud linked to a rules engine that autonomously audits the validity and completeness of the file.