Same fault. Different response. Not all network failures carry the same business risk. A performance degradation in a revenue-dense cell represents a materially different operational priority than one in a low-traffic zone. Yet today's autonomous networks have no mechanism to express or act on that difference. Isolating contributing factors across RAN, Core, and Cloud remains a manual and siloed process. Every fault enters the same resolution queue regardless of business impact. Business-Aware GNN-Healing Networks changes this. The catalyst introduces a three-layer closed-loop architecture: Business Intent Sequences remediation based on infrastructure business criticality and revenue exposure. Graph Intelligence A Graph Neural Network powered by a Google Cloud Spanner digital twin traverses cross-domain topology to identify remediation branches from a single service-layer trigger. No alarm is required. Execution Layer Standards-based service-layer orchestration. Healing intent travels in TMF921 and decomposes through TMF641 service orders into per-domain action across RAN, Core, and Cloud. The key innovation is the first Business Intent Extension Model (BIEM) contributed to the TM Forum Intent Ontology (TIO). It gives operators a standards-based vocabulary to declare which remediation branch executes first when recovery resources are constrained, decoupling business priority from network implementation. The result: same fault, different response. Level 4 autonomy across RAN, Core, and Cloud, with the business layer exploring the Level 5 boundary through declarative, intent-driven prioritization. Validated with CSP champion data, the catalyst targets: - Double-digit reduction in operational costs - MTTR reduced from hours to minutes - Protection of revenue at risk in critical coverage zones