77 the agent can now quickly provide a short, accurate response.” As process intelligence continues to evolve, it will play a crucial role in shaping the future of AI-driven operations, according to Del Valle. “Copilots will become increasingly smarter and customers will have more of them deployed across different departments,” he says. “In 5-10 years, you will have an army of autonomous agents doing a lot of work and interacting with each other. One or more agents will handle the work of one person, an entire department, and maybe even an entire company. Celonis’s process intelligence graph will be a central piece of that AI stack; it will identify pockets of value that those agents could resolve – it’s a match made in heaven. Additionally, Celonis will be able to monitor those autonomous agents in the same way that today we monitor the processes that are being done by humans.” As organisations consider adopting process intelligence and AI, it is essential to recognise the transformative potential these technologies offer in freeing teams from routine tasks, allowing them to focus on strategic decision-making. “We envision a future where operational users in an enterprise are liberated from nonstrategic tasks so they can focus on what is most important to them, which is making important decisions,” says Shoar. “They can define goals and strategies without diving into individual processes or taking manual steps. They simply state their objectives – like speeding up a process, improving on-time delivery or reducing costs. That’s the world we enable by combining process intelligence with AI.” Photo: iStock/Summit Art Creations Celonis collaborated with a global car manufacturer company to develop agents for generating email responses
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