The Digital Twin: The Living Core of the Case-Decision-Process Methodology

In the Case-Decision-Process (CDP) methodology, every customer request — a claim, a loan, an order, or a service ticket — is more than just a transaction.

It becomes a living digital twin: a continuously evolving, data-rich representation of the customer’s request and its fulfillment journey.

This digital twin is not a passive record. It is the heartbeat of the CDP architecture — the single source of truth that enables real-time decisioning, contextual awareness, and adaptive orchestration across CMMN, DMN, and BPMN models.

From Static Records to Living Data

In traditional IT or ERP systems, case data are often scattered across multiple modules, updated asynchronously, and only loosely connected to the logic driving business processes.

The result is fragmentation — decisions are made based on partial or outdated information, and process agility is lost.

In contrast, the CDP methodology treats the customer request case data as a continuously synchronized digital twin. It contains:

• The request itself — such as a First Notice of Loss (FNOL) in an automotive claim.
• Context information — details about the customer, the insurance contract, the insured vehicle, and any external evidence like police or witness reports.
• Case handling status — reflecting where the case stands in its lifecycle.
• Decision information — contributed by human experts, AI agents, or automated decision services.

This evolving data object becomes the structural foundation for the entire business fulfillment lifecycle. Every event — a new document, an external update, or a human input — triggers a re-evaluation by the business fulfillment case assessment decision model (DMN).

Continuous Evaluation: The Role of DMN as the “Spider in the Web”

The DMN model acts as the intelligent orchestrator.

Whenever the digital twin is updated, the DMN layer evaluates what needs to happen next:

• Should new stages or tasks be activated in the CMMN case model?
• Should existing stages be completed or terminated?
• Should a BPMN process (for example, auto claim adjuster appointment or claim payment authorization) be launched?
• What is the next best action — for a person, a robot, or an AI agent?

Because all logic is explicitly modeled in DMN and driven by the shared case data, the system responds instantly and intelligently to every change.

This continuous feedback loop transforms business fulfillment into a living, adaptive system, where decisions and processes evolve in lockstep with real-world events.

Structuring the Digital Twin: The Emergence of SDMN

To make this dynamic architecture work at scale, one challenge stands out: structuring and mapping the data model that underpins the digital twin.

Enter SDMN — the Shared Data Model and Notation, a new OMG standard designed precisely for this purpose.

SDMN defines how data are represented, shared, and referenced consistently across CMMN, DMN, and BPMN models. It is the data glue that ensures every component of the CDP tripod speaks the same language.

With SDMN, modelers can:

• Define a unified, accurate data structure for the customer request.
• Link decision variables, case properties, and process inputs to a shared schema.
• Enable full traceability between data, decisions, and actions.

In other words, SDMN turns the digital twin from a conceptual artifact into a technically executable and model-driven reality.

Why the Digital Twin Matters

By treating the customer request as a continuously updated digital twin, organizations gain:

• Real-time orchestration — instant reactions to internal or external events.
• Consistency and transparency — a single, authoritative view of the case at all times.
• Data-driven adaptability — decisions and processes that evolve as new data arrive.
• Human-AI collaboration — shared visibility and decision context for both human and automated agents.

The digital twin bridges the gap between business intent and system behavior.

It ensures that fulfillment is not just automated — but context-aware, traceable, and continuously optimized.

Toward Truly Intelligent Fulfillment

The Case-Decision-Process methodology, powered by its digital twin foundation, represents a paradigm shift.

Rather than coding fixed workflows, organizations model living systems — systems that think, decide, and adapt.

With CMMN orchestrating cases, DMN governing decisions, BPMN executing structured processes, and SDMN unifying their data, the digital twin becomes the living core of business fulfillment.

It is through this dynamic, shared, and continuously updated data model that enterprises can finally achieve what decades of rigid automation could not: a business fulfillment system that evolves as fast as the business itself.