The Trillion-Dollar Missing Link: Why Your Enterprise AI Needs a Memory

Moving from Systems of Record to Systems of Reasoning with Celonis and Rollio.

The “Corporate Amnesia” Problem If you ask your ERP system what happened last quarter, it can answer instantly: “Order #5042 was blocked for credit, then released three days later.” But if you ask why it was released, the system goes silent. The reasoning isn’t in the database; it’s lost in a Teams chat, a hallway conversation, or an email thread.

This is the “Trillion-Dollar Opportunity” described by venture capitalists regarding Context Graphs. Companies have spent billions building Systems of Record to track transactions. Yet, they lack a System of Decision to track reasoning. Without this, your AI is effectively amnesiac—it sees the data, but it lacks the wisdom to understand it.

The Architecture of Memory: Celonis OCPM + Rollio To solve this, we need more than just a chatbot. We need a Context Graph—a digital structure that connects the objects of your business (invoices, orders) with the decisionsmade about them.

This is where the combination of Celonis Object-Centric Process Mining (OCPM) and the Rollio Process Collaboration Agent (PCA) creates a new category of value.

• The Skeleton (Celonis OCPM): OCPM acts as the foundational layer of the Context Graph. It creates a digital twin of your operations, providing the “ground truth” of how objects like a “Sales Order” and “Invoice” intersect across different systems.

• The Nervous System (Rollio): While Celonis identifies the friction (e.g., “Price Change Required”), Rollio orchestrates the resolution. But crucially, Rollio captures the human context that usually evaporates.

The Differentiator: Capturing the “Why” Consider a Price Change Exception in procurement.

• The Event: A supplier increases prices by 5%.

• The Old Way: A Buyer emails a Commodity Manager. They discuss raw material indices. They agree to the hike. The Buyer updates the PO. The reasoning is lost forever.

• The Rollio + Celonis Way: Rollio detects the exception via Celonis. It instantly spins up a collaboration channel between the Buyer and Manager. It observes the decision: “Approved because Aluminum Index is up.”

Rollio binds this conversation and decision back to the specific object in Celonis. The next time this exception occurs, the AI doesn’t just know what happened; it knows how you solved it.

Real-World Impact: From Campari to Manufacturing This architecture is already delivering value in complex environments:

• Campari Group used this approach to tackle Credit Blocks. Previously, blocked orders triggered a chaotic wave of emails between Sales and Credit managers. Now, Rollio structures that collaboration, resolving blocks faster while capturing the decision trail.

• Manroland Goss used this approach in Manufacturing Quality, teams use Rollio to resolve claims. Instead of scattered emails, the resolution logic is centralized, reducing delays and ensuring that “institutional memory” isn’t lost when an engineer retires.

The ROI here extends beyond efficiency. By combining Rollio and Celonis, you are building an appreciating asset. Every interaction adds a node to your Context Graph, transforming your organization’s tacit knowledge into a tangible data asset.

We are finally moving from automating tasks to automating reasoning.