CSPs must shorten sales cycles and deliver more personalized solutions to meet evolving B2B customer demands. This Catalyst introduces an AI-driven approach that reimagines the product configuration and estimation process. It combines generative AI with a catalog-based core commerce suite to create smarter, faster, and more accurate sales interactions. The solution uses an intelligent genAI agent embedded within the sales orchestration layer. It starts by interpreting customer requirements entered via natural language through a secure front-end interface. The agent uses large language models (LLMs) fine-tuned on telecom-specific datasets to classify intent, extract key parameters, and match them to product attributes stored in a TMF-compliant product catalog. The agent validates the parameters, then calls a configuration engine that applies business rules, eligibility logic, and pricing constraints to assemble a valid offer. It queries the catalog in real time using TMF620 and TMF637 APIs for product and service specification retrieval. It then generates a structured quote using predefined templates that map to the customer’s commercial profile and contract terms. The system manages approval workflows and versioning control. This allows sales managers to review and modify offers before sending them to the customer. Once approved, the agent pushes the finalized quote into the ordering system via TMF622 (Product Ordering) for fulfilment. This architecture enables closed-loop automation while maintaining compliance, scalability, and auditability across the sales lifecycle. By automating quote creation, validation, and approval workflows, the solution cuts time-to-quote and improves accuracy across the sales process. Approved quotes pass directly into the ordering system, eliminating friction between sales and fulfilment. The impact is clear: CSPs can generate quotes 50% faster, reduce manual steps by 80%, increase conversion rates by 25%, and deliver a 20% boost in customer satisfaction.