What belongs here
These tools are for oversight, released knowledge inspection, part intelligence, and operational traceability. Core request submission stays in the troubleshooting workspace.
This page centralizes the deeper Cateo tools so the rest of the product can stay focused on troubleshooting, released knowledge, and the account workflow. Use these links to move into command, case, part, and artifact views without carrying an always-on navigation rail through the entire site.
These tools are for oversight, released knowledge inspection, part intelligence, and operational traceability. Core request submission stays in the troubleshooting workspace.
Some destinations require reviewer or admin access. Cateo keeps the links visible so the structure stays learnable, then applies access controls inside the destination itself.
Open the operating surface for system health, queues, usage trends, and command-level visibility across Cateo.
Best for administrators and reviewers who need one high-level view of active work, released outputs, and system posture.
Inspect live troubleshooting cases, clarification requests, available outputs, and crowdsource feedback queues.
Use this view when you need to trace request flow from intake through AI output, user review, and follow-up decisions.
Review CPLM-aware part metadata, lifecycle state, relationships, effectivity, and linked engineering knowledge.
This is the best place to audit how Cateo is structuring part identity, hierarchy, and cross-system traceability.
Browse released artifacts, knowledge records, and related conversations tied to Cateo outputs.
Use this view when you want to inspect the structured artifacts produced by Cateo and how they connect back to cases and parts.
Cateo uses equipment, assembly, subassembly, and component metadata to frame inspection work before it produces a checklist or review package. That keeps the inspection anchored to the right object, configuration, and operating context instead of a generic template.
It also carries observed conditions, tolerances, and required checks into the output. When the system has enough engineering context, it can shape the inspection around known pass-fail expectations, evidence needs, and the consequences of a failed check.
The goal is to convert engineering context into structured inspection plans and checklists rather than freeform notes. Operators, maintenance teams, and quality teams get an output they can follow, record against, and refine later without losing traceability.
That helps standardize inspection work across operations, maintenance, and quality. The same CPLM-aware backend stays attached for structure and retrieval, but the visible output stays readable for field execution and review.
Engineers choose Cateo because it emphasizes deterministic and structured outputs, controlled artifact generation, evidence-based analysis, reusable engineering workflows, and the avoidance of raw unvetted AI responses in critical technical environments.