Celosphere 2025, Celonis’s flagship annual conference, zeroes in on a question that has haunted enterprise AI adoption for years: why does promising technology often fall short of measurable returns? The event, slated for next week, promises a three‑day deep dive into process intelligence (PI) and its role in turning AI from a curiosity into a scalable business engine. Co‑founder Alex Rinke stresses that AI must be grounded in the granular context of day‑to‑day operations—otherwise, it risks becoming merely a “social experiment.” By weaving AI into the fabric of existing processes, Celonis argues, companies can unlock consistent, quantifiable gains across production, supply chain, and customer experience.
Celosphere will showcase a litany of success stories that put theory into practice. A Forrester Total Economic Impact study revealed that organizations running Celonis’s PI Platform achieved a staggering 383 % return on investment over three years, with payback in just six months. One retailer drove sales‑order automation from 33 % to 86 %, saving $24.5 million, while the State of Oklahoma unlocked more than $10 million in procurement value through AI‑powered question answering. Pharmaceutical giant AstraZeneca trimmed excess inventory without disrupting critical drug flow, and Cosentino accelerated blocked‑order resolution five‑fold using an AI‑driven credit‑management assistant. These data point to a clear pattern: when outdated systems are modernized and AI is tightly coupled to process insight, gains materialize quickly and sustainably.
Beyond cost savings, Celonis is positioning its Orchestration Engine as the nervous system that coordinates autonomous AI agents with human decision‑makers and legacy systems. Rinke warns that the leap from “advisor” to “actor” magnifies risk; an agent that misreads context can trigger shipments, approvals, or purchases that cascade into costly errors. The conference will also address how global trade volatility—new tariffs, supply‑chain shocks—threatens to derail AI models trained on static assumptions. By providing real‑time visibility into how policy changes ripple through procurement, logistics, and compliance, process intelligence lets enterprises pivot faster than their competitors. Ultimately, Celonis argues that true enterprise AI cannot exist without a process‑centric foundation that delivers continuous learning, orchestration, and open connectivity.
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