When a process description is no longer enough
Many companies document their processes in Visio, a Word document, or an Excel template. That works well as long as reality stays stable. The problem starts when orders deviate, customers request exceptions, or capacity shifts. A process description captures the ideal situation. What actually happens is invisible. You only notice when something goes wrong: a customer calls, a schedule does not add up, a shipment is late. A digital twin of business processes does something different: it mirrors the real operation, right now, with live data.
What a digital twin of business processes actually is
A digital process twin is not a visualisation tool and not a reporting tool. It is a software system that contains the logic of your operation: how orders come in, how they are scheduled, which routing they follow, which exceptions are handled, and what knock-on effect that has on the rest. That logic is active and responds to incoming data. When an order arrives, the system calculates along with it. When a supplier fails, the planner immediately sees the consequences. The difference from a dashboard or BI tool: a dashboard shows what was, a digital twin operates in the present and can run through scenarios. The difference from an ERP or TMS: those systems also contain logic, but are built for generic processes. A digital twin is specific to your operation, including the exceptions and habits that do not fit into any standard package.
How does this differ from a dashboard or BI tool?
BI tools and dashboards are excellent for looking back. You see trends, outliers, and KPIs. But they do not answer the question: what happens if I schedule an extra order now, or if I give this customer a longer lead time? A digital twin contains the reasoning logic to answer that question, because the business rules are embedded in it. That is the difference between a mirror and a twin who thinks along with you. If you already have a solid BI system, you have the input for a digital twin. But the twin itself is something different: it is active and responsive, while BI reports passively.
In which situations does a digital twin of your business processes pay off?
A digital twin of your business processes pays off when your operation is complex enough that you only notice mistakes after the fact, when exceptions have become the norm, or when planners spend a lot of time on coordination that a system could take over. In concrete terms: you handle dozens of orders per day with variable parameters, your planning logic lives in the heads of two employees, or you want to simulate what a new customer or route does to your capacity. It also pays off when you want to replace an existing core system and validate the new setup first. What it does not replace: a straightforward process that already runs smoothly, or a situation where the real bottleneck lies in the data, not the logic.
When is it not the right solution?
A digital twin of your business processes is not a quick fix and not a visualisation project. If your processes are not yet fully defined, you are building a digital copy of chaos. In that case, cleaning up the operation is the better investment. If your primary problem is data quality, a twin will not help either: garbage in, garbage out. And if the organisation is not yet ready to act on what the system indicates, the value disappears quickly. A digital twin requires mature processes, reliable data, and people who are willing to trust what the system tells them.
How Bonsai approaches this
Bonsai builds digital twins of business processes as part of a new core system or as a layer on top of an existing system. We always start with the operational logic: what decisions does a planner make, what exceptions exist, which data is reliable enough to act on. We then build the system that contains that logic and actively calculates with it. The client becomes the owner of both code and data, with no lock-in. We work in milestones with go/no-go moments, so there are no surprises when the bill arrives.