Celonis and Cosentino have successfully implemented an AI assistant developed by Celonis to manage credit blocks. This wizard allows Cosentino’s credit management team to resolve blocked sales orders up to five times faster.
“Celonis process intelligence provides the data and business context needed to make enterprise AI more effective,” said Manuel Haug, Field CTO at Celonis. “What makes it unique is that it spans multiple systems, providing complete visibility into past and present business processes and enriching them with deep business insights such as business rules, industry benchmarks or reference models. “Forward-thinking companies, like Cosentino, are using Celonis’ AI technology to facilitate innovation and accelerate business transformation.”
AI-driven business transformation based on process intelligence
Since 1945, the Cosentino Group has offered high-quality natural and manufactured surfaces for architectural and design applications. Their products are present in iconic buildings and homes around the world. For over forty years, this Spanish family business has been a pioneer in the industry, creating innovative surfaces such as Silestone and Dekton.
In 2024, Cosentino began an innovation project to optimize its business operations using AI. They chose Celonis, a trusted partner with over a decade of experience in process excellence, machine learning and AI. In just seven weeks, Celonis identified a relevant use case, extracted the necessary information from Cosentino’s IT systems, structured the data, created the AI assistant and deployed it.
Powered by Celonis Process Intelligence, the AI assistant for credit blocking management analyzes blocked orders in seconds, allowing managers to process up to 5 times more orders per day without additional risks
The AI assistant for credit block management analyzes each blocked order in seconds, collecting all relevant data such as order value, customer credit information (e.g. available credit balance) and KPIs based in processes (for example, the rate of deadlock removal).
The assistant then recommends what actions to take, such as removing the block or keeping it and requesting proof of payment for outstanding invoices. Additionally, it provides detailed, fact-based reasoning so that credit experts can easily review and validate the decision. Credit managers can accept the assistant’s decision with the push of a button or reject it and provide reasoning so the assistant learns from it.
