Define once, adapt together!

Define once, adapt together! addresses a fundamental challenge for telecom providers: complex services can be launched, but adapting them safely and efficiently remains difficult. A single business decision can trigger changes across CRM, product catalog, ordering, service activation, billing, assurance and network domains, often involving multiple suppliers. Today, dependencies can be identified too late, creating duplicated analysis, additional change requests, delayed revenue and unnecessary customer and operational risk.

The project introduces an innovative, reusable and bidirectional coordination layer that connects business intent with technical and network execution. A business outcome, its rules and acceptance conditions are defined once and translated into an evidence-backed impact map, cross-vendor adaptation plan and controlled technical actions. Crucially, the approach also works in reverse, translating network capacity, performance and change evidence into affected customers, SLA commitments, commercial opportunities and business outcomes. AI-assisted analysis helps identify dependencies and likely impacts while providing the source, version and confidence behind recommendations, with decisions remaining under accountable human and component-owner control.

By creating a shared change language across business owners, application teams, suppliers and network operations, this Catalyst aims to make change faster, safer and more predictable across composable, multi-vendor environments. The Catalyst will demonstrate this through an end-to-end customer-acceptance-based billing journey and reusable scenarios covering enterprise offer, bandwidth and SLA adaptation and customer-impact-aware network change. The approach will show how changes can be assessed earlier, coordinated across organizational and technology boundaries, executed with appropriate controls and validated against both technical requirements and intended business outcomes.

The business value will be demonstrated through measurable improvements in the way change is analysed and delivered, targeting at least 30% less impact-analysis effort, at least 90% recall and 80% precision in identifying dependencies, and 100% traceability for mandatory acceptance conditions across the demonstrated layers. By reducing late dependency discovery, rework and coordination effort while improving execution confidence, the project has the potential to shorten time to revenue, protect customer experience and SLA commitments, reduce revenue leakage and help CSPs realise greater value from composable IT and network ecosystems.