Process mining shows if your “good on paper” processes are as good in real life.

BI Book Process Mining connects to your business systems and builds a precise, data-driven picture of how your operations actually run, step by step, case by case. Bottlenecks, exceptions and inefficiencies that were previously invisible become impossible to ignore.

Does your process documentation bear any resemblance to what actually happens every day?

Process diagrams describe how workflows are supposed to run. They’re drawn up in workshops, signed off by management and filed somewhere nobody looks at again. Meanwhile, the IRL processes accumulate exceptions, workarounds and manual steps that never made it into the diagram.

Process mining reads the event logs your systems already generate and reconstructs what really happened, in every single case. Not a sample, not an estimate, but the complete, objective picture – including every deviation, delay and detour along the way.

What BI Book Process Mining does?

From invisible inefficiency to measurable improvement.

Automated process discovery

BI Book Process Mining reads event log data from your existing systems and automatically maps your processes as they actually run. Every variation, every exception, every case visualised without manual interviews, workshops or documentation exercises.

Bottleneck and deviation detection

Once your processes are mapped, BI Book identifies where delays accumulate, where cases deviate from the expected path and where manual interventions are happening most. You see not just that a process is slow, but precisely which step, which case type and which team it’s slowing down in.

Continuous monitoring

Process mining in BI Book runs continuously. As your operations change, your process view updates with them. You’re not commissioning a project to find out how things are running; you always know. Improvements can be measured in real time as they take effect.

Automation readiness assessment

Automation delivers the biggest return when it’s applied to processes that are already well-understood and consistently executed. Process mining shows you which processes are mature enough to automate and which still have too many variations to benefit from it yet.

Five process areas where organisations consistently find the biggest gains.

Accounts payable

On paper, the process looks linear: invoice received, reviewed, approved, paid. In practice it rarely is.

Process mining maps every variation – delayed approvals, manual overrides, payment term exceptions – and shows precisely where cash flow and efficiency are being affected.

Order-to-cash

From order creation to payment received, the order-to-cash cycle touches multiple systems and teams. Process mining surfaces where orders stall, where exceptions are handled manually and where the gap between promise and delivery is widest.

HR and payroll processes

Onboarding, offboarding, absence management and payroll runs all follow defined workflows, or should. Process mining highlights where manual steps have crept in, where compliance risk is accumulating and where HR teams are spending time they shouldn’t have to.

Customer service workflows

Response times, escalation paths and resolution rates all depend on processes running consistently. Process mining makes it visible when they don’t, identifying the case types, channels or team structures where service quality is being undermined by process variation.

Internal group processes

For organisations operating across multiple entities, standardising internal processes is an ongoing challenge. Process mining provides an objective, data-driven view of how each entity’s processes actually compare, making it easier to identify best practices and close the gaps.

From one-off diagnostic to continuous process development.

BI Book Process Mining connects to the event logs your systems already produce (your ERP, CRM, HR platform or finance system), and builds a live process model from that data.

The first pass gives you an immediate picture of your current process reality: the main flow, the most common variations and the biggest bottlenecks. Most organisations find something significant within days of running their first analysis.

From there, it runs continuously. As you implement changes, you see their effect in the data. As new exceptions emerge, you see them before they become habits. Process mining becomes a permanent operational lens rather than a project you commission once and forget about.

The consulting expertise behind the tool is Greenstep’s analytics team, who combine process mining technology with genuine business understanding, helping you interpret what the data reveals and what to do about it.

Curious what’s actually happening inside your processes?

Most organisations are surprised by what their first process mining analysis turns up. Let’s run one together and find out where the time and money are going.