
Celonis expands AI & orchestration in latest platform upgrades
The company showcased major enhancements designed to make its platform faster, more user-friendly, and more compatible with commonly used enterprise tools. These developments focus on providing businesses with the intelligence required to effectively deploy AI alongside human workers.
Alex Rinke, Co-Chief Executive Officer and Co-Founder of Celonis, stated, "For AI to provide maximum value for business, it needs to do things like telling you which customer deliveries are at risk and take automated action to reroute deliveries and notify logistics partners.
"Celonis Process Intelligence makes this possible. It provides AI with the process knowledge and business context to make it effective in accomplishing business-critical tasks, like mitigating supply chain disruptions, optimising inventory, and managing tariffs. That's why we strongly believe that for enterprise use cases, 'there's no AI without PI'."
Central to the update is the Process Intelligence Graph (PI Graph), which combines process data and business information to form a digital representation of business operations. This PI Graph underpins the company's AgentC suite, a collection of AI agent tools and integrations that enable AI systems to access process intelligence whether customers choose to develop their own agents on platforms such as Microsoft Copilot Studio, Amazon Bedrock, or Salesforce Agentforce, or use prebuilt agents provided by Celonis and its partners.
The AgentC suite received significant upgrades, including an expanded Process Intelligence API. This extension was developed to simplify and secure the sharing of process intelligence context, metrics, and recommended actions with a range of AI platforms. These updates aim to ensure that AI agents can be more readily integrated into established enterprise environments.
Modern businesses employ a variety of technologies such as system automations, workflow automations, robotic process automation (RPA) bots, and manual tasks. However, they often face challenges overseeing and managing all these tools across different departments and systems. To address this, Celonis has introduced the Orchestration Engine, an orchestration platform that coordinates tasks across these varied tools and provides businesses with increased control and agility. The engine leverages real-time process intelligence to monitor workflows and direct them toward desired outcomes.
Additional advancements were announced to support the use of AI within the Celonis ecosystem. Process Copilots, now generally available, allow employees to interact with business processes directly within collaboration applications like Slack and Microsoft Teams. This facilitates faster access to process information and identification of issues requiring attention.
The Celonis Annotation Builder, a no-code generative AI tool for recommending decisions, is now generally available as well. This tool provides users with AI-driven suggestions for resolving process issues and opportunities for process improvement in real-time analytics dashboards.
Other improvements to the platform include an expanded catalogue of pre-built objects and events for the PI Graph, designed to enable existing customers to integrate their data models more quickly. New version control features have also been added to aid management of the PI Graph for individual customers.
The integration of Celonis Process Management through a new API brings together process mining and process modelling, allowing for detailed and accurate assessment of process adherence by importing process models directly into the platform's Process Adherence Manager.
Microsoft users can now benefit from Celonis' zero-copy integration with Microsoft Fabric, which enables the embedding of process intelligence directly into the solutions being created within Microsoft's ecosystem.
The latest event log builder enables users to generate, adjust and examine event logs interactively within Celonis Views, removing the need for external data modelling or technical coding.
Updates to the Studio Views component introduce scalable view modules to ensure changes are propagated wherever utilised, enhanced data visualisations and filtering for deeper analytic work, and the ability to distribute scheduled process insights to decision-makers at set intervals.
The new PQL Editor, designed for the process query language used within the Celonis platform, is now synchronised with customer knowledge models and business context, improving usability for business analysts.
Dan Brown, Chief Product Officer at Celonis, commented, "Alongside our partners, we continuously invest in our platform. With AgentC and our Process Intelligence API, we're helping customers to maximise the ROI of their AI deployments. Orchestration Engine enables stronger oversight and control of process workflows. And Solution Suites shorten time to value by making it faster and easier to deploy PI and AI across the enterprise."
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