BPM is a capability to companies, designing and planning their business models and align the operating model. Also strategic goals and customer expectations influence the operating model.
So it is crucial for companies, develop an operating model that fulfills generic, regulative and individual components, to differentiate from competition while comply to regulatory requirements.
To develop details that lead to differentiation, a standard reference comes into the game.
Reference models and content will help our customers to not start from scratch but from a generic or industry specific perspective of how processes are typically structured in comparable industries.
Another important value of a reference model is to see, if all necessary process areas are represented in the documentation of the operating model or how far this model is away from a standard point of view.
As BPM is mainly starting with documenting processes and related content, a reference will save a lot of time and effort. Another use case for reference industry frameworks is simply to look if the existing documentations are reflecting the whole business or if there are any gaps.
As a more or less generic framework will never show up the details making your company unique and as such frameworks never go down to the most detailed level of description, AI comes into the game.
Integrated AI capabilities help companies to faster transform documents or transcripts of conversations into process descriptions but as well reuse framework content to derive your reality from it and add all the details you want to add quickly, so AI helps you to individualize processes and add company specific details.
Doing this, starting from a reference will offer you as well the first step of analysing how good your process is compared to the industry standard or standard process, delivered by your ERP or CRM vendor.
How far is your process away from the standard?
Is the additional effort of managing the customization really delivering the promised value?
Is the additional effort paying off to strategic targets?
Is the deviation really generating more happy customers?
And as you often can combine benchmark data and industry standards you can as well analyse if the additional efforts bring you above the industry average or if it leads to a better position compared to the competition.
Better decisions come from better data. Start with clean data and accelerate fast with AI to better processes.
Ask your AE/VE about reference content.
Btw. are you using reference content or used industry models in the past? What was your experience?