AI projects · In development

ATLAS

From field evidence to engineering knowledge.

A project by Pedro Leonardo Oliveira da Costa at OCAI Engineering, structuring technical references to support workflows with artificial intelligence.

Traceable evidence and requirements

ATLAS organizes observations, equipment identification, manuals, and standards references into relationships an engineer can verify.

1. Record the evidence

Connect each observation to its equipment, photograph, date, and inspection record.

2. Select the reference

Check model, intended use, edition, and scope before connecting manuals and standards.

3. Review the relationship

Distinguish verified requirements, conditional applicability, and missing information.

4. Support the decision

Produce an evidence matrix for review and conclusions by the responsible engineer.

Application in preparation

Inspection documentation

The workflow is being structured around real engineering work, including the organization of inspection documentation for Auren Energia. Its purpose is to make the connection between observations, sources, and open questions explicit.

The project is in development. It does not issue automatic approvals, replace the responsible engineer, or distribute licensed standards in full. Private customer documents remain outside the publication.