Delivering Enterprise Value with AI for a Global Manufacturer

The client’s expansive and highly customizable product portfolio created operational complexity across its Lead-to-Cash processes. Sales teams struggled to quickly access accurate product, SKU, and sustainability information. Customer service operated from shared inboxes, resulting in limited visibility and inconsistent customer experiences. Orders lacked end-to-end visibility once placed, driving thousands of “Where’s my order?” inquiries. Manual credit reviews delayed orders, slowing revenue realization and consuming significant team capacity.

Ciklum partnered with the client to rapidly build five AI-powered products using a standardized, multi-agent AI architecture on Microsoft Azure – designed to give the business freedom within a robust framework to build, compose, and scale modular AI agents on demand. Working in close alignment with executive leadership, each solution was developed as a scalable, deployable product, embedding intelligence directly into sales enablement, customer service, order visibility, churn prediction, and credit automation.

The composable agent model ensures these solutions are future-ready, enabling teams to easily extend, reconfigure, and operationalize AI across new use cases without re-engineering core systems. Early beta user engagement and iterative feedback shaped continuous enhancements, while a cost-optimized AI orchestration layer, natural language-to-SQL, and enterprise GPT integration transformed operational complexity into real-time, actionable insights, delivering immediate value today and sustained scalability for tomorrow.