Celonis has launched AgentC, a set of tools, integrations and partnerships with AI agents that allows our community to create these agents on major platforms, as well as use pre-built ones from our partners. All of these agents are based on Celonis Process Intelligence, which allows them to understand how the company works and improve its performance.
Celonis Process Intelligence delivers a unique class of business data and context, essential for optimizing processes across systems, departments and organizations. This intelligence is unique because it spans multiple systems, is enriched with deep business knowledge, and enables effective enterprise AI, intelligent orchestration, and next-generation cloud applications.
“There is a clear gap between the promise of AI and its actual impact on businesses. To close this gap, enterprise AI needs process intelligence, built with process data and business context that only Celonis can provide. AgentC ensures that all agents created by our community are equipped with the business knowledge necessary to drive the right actions and results,” says Alex Rinke, co-CEO and co-founder of Celonis.
Creation of AI agents that understand the business flow on the platform chosen by companies
Early platform integrations include Microsoft Copilot Studio, IBM watsonx Orchestrate, Amazon Bedrock Agents, and open source developer environments like CrewAI. Our ISV partners, Rollio and Hypatos, offer pre-built AI agents. Additionally, clients developing their agents can benefit from the support of specialist consultants such as Accenture, IBM Consulting and EY.
For example, by integrating Celonis with Microsoft Copilot Studio, customers can identify use cases and underlying causes, create an agent based on process intelligence to solve the problem, and deploy it through one of the leading agent frameworks. of AI. Users can then interact with the agent through the Microsoft apps they use every day, such as Microsoft Teams.
AI powered by Celonis Process Intelligence brings real value to companies
Cosentino, a manufacturer of architectural and design surfaces, used the Celonis platform to create an AI assistant that helps manage blocked sales orders and improve the efficiency of its team. The assistant analyzes blocked orders in seconds and provides a recommendation that credit managers can accept immediately. They now process up to five times more orders per day without any additional risk.
“Like Celonis, Cosentino has always been a leader in technical innovation,” explains Rafael Domene, Global CIO of Cosentino. “The implementation of Celonis AI Assistant for credit block management has transformed our order management operations, streamlining our processes and achieving faster and more reliable results. “This innovation underscores our continued commitment to driving business success through the use of advanced technology such as Artificial Intelligence.”
Celonis AgentC: How to make AI agents work for the enterprise with process intelligence
Maureen Fleming, vice president of IDC’s Intelligent Process Automation Program, says: “Understanding the complexities of processes and their interdependencies is crucial to achieving effective AI-driven digital transformation. Without process data and business context, organizations struggle to implement AI solutions that deliver meaningful ROI and operational improvements. “This makes process intelligence critical for companies looking to successfully scale agentic AI deployments and achieve positive strategic outcomes.”
Here are more examples of how Artificial Intelligence powered by Celonis Process Intelligence is working for different companies:
- A European packaging company built a co-pilot on Celonis that allows plant technicians to view spare parts inventory levels at surrounding plants, enabling stock transfers rather than placing orders with suppliers.
- A multinational building materials supplier created an AI agent on a partner platform that links inquiries and requests to the corresponding invoices and purchase orders, automating resolution, including automatic responses, ERP updates, and internal forwarding.
- A global consumer goods company developed an AI agent on a partner platform to extract payment terms from PDF contracts, compare them with terms in its master data, purchase orders and invoices, and recommend actions to employees. accounts payable to resolve inconsistencies.
- A global automaker built an AI agent on a partner platform to automatically generate email responses to supplier queries (e.g., “what is the status of this invoice?”).
- A global technology company uses an AI agent on a partner platform to improve the customer financing application process. Predicts the probability of a request being rejected, notifies the requester and operations team of low approval probabilities, and prescribes necessary corrective actions.
