Business Process Modelling
Definition
The analytical practice of representing an organisation's workflows, processes, and operations in a structured visual or formal notation to understand, analyse, and improve them. Common modelling techniques include Business Process Model and Notation (BPMN), flowcharts, value stream mapping, and simulation models. Business process modelling is a foundational activity for organisations seeking to optimise their intangible asset base, as it makes tacit operational knowledge explicit and identifies opportunities for automation, elimination of waste, and efficiency improvement. The resulting process models themselves become valuable intangible assets — documented organisational knowledge that can be used for training, compliance, quality management, and as the basis for digital transformation initiatives. For businesses preparing for sale or investment, well-documented process models demonstrate operational maturity and reduce acquirer risk.
Complementary Terms
Concepts that frequently appear alongside Business Process Modelling in practice.
A structured set of activities or tasks that produce a specific output for a particular customer or market. Business processes encompass everything from operational workflows such as order fulfilment and customer onboarding to strategic processes such as product development and strategic planning.
A technology that uses software robots to automate repetitive, rule-based tasks traditionally performed by humans, such as data entry, invoice processing, and compliance reporting. RPA implementations are typically capitalised as intangible assets and can deliver rapid return on investment through labour cost reduction and error elimination.
The strategic adoption of digital technologies to fundamentally change how a business operates, delivers value, and competes. Digital transformation involves significant investment in intangible assets — including software, data infrastructure, process redesign, and workforce skills — and is a primary driver of productivity improvement in modern enterprises.
The accumulated stock of codified and tacit knowledge within an organisation, encompassing technical expertise, process documentation, proprietary methods, and institutional memory. Knowledge capital is a core intangible asset that directly influences innovation capacity, operational efficiency, and competitive advantage.
The amount of output produced per unit of labour input, commonly measured as gross value added (GVA) divided by labour costs or number of employees. Labour productivity is a key efficiency metric that reflects the quality of human capital, processes, and technology deployed by a firm.
The strategic decision to perform a business function or process internally rather than contracting it to an external provider. Insourcing is the opposite of outsourcing and is typically motivated by the desire to retain control over quality, protect proprietary knowledge, build internal capabilities, or reduce long-term costs.
The practice of contracting a business function, process, or service to an external provider rather than performing it internally. Outsourcing can involve domestic or offshore providers and may cover functions ranging from IT support and customer service to manufacturing and professional services.
A structured programme combining on-the-job training with formal education, enabling individuals to develop industry-specific skills while earning a wage. Apprenticeships represent a significant investment in human capital formation and are increasingly recognised as intangible assets at the organisational level.
Further Reading
AI Cost Reduction: How to Measure Real Operational Savings
AI vendors promise dramatic cost reductions, but actual savings depend on total cost of ownership, implementation quality, and measurement rigour. This article provides a practical methodology for measuring real AI-driven operational savings — net of all hidden costs.
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