Professional Services Business Information Model

This Business Information Model lays out the data entities that run a professional services business, from client contracting through staffing, delivery, and billing. It groups those entities into foundational, transactional, and informational categories and maps how they connect across the engagement lifecycle. The model is delivered as an editable Word document you can adapt to your firm's own service lines and delivery model.

Why Engagements Don't Behave Like Orders

Professional services doesn't sell a discrete product, so the standard customer/order template doesn't hold up. Engagements nest — a master service agreement governs multiple statements of work, each spanning multiple projects, tasks, and time entries — and that hierarchy has to be modeled explicitly or billing breaks. A "resource" isn't a simple asset either: a consultant carries skills, roles, and rate cards, and is allocated fractionally across several concurrent engagements at once, a many-to-many relationship with its own start and end dates. Revenue itself attaches to project status and percentage-of-completion rather than to a shipped item, so entities like work-in-progress and unbilled revenue have no equivalent in a generic sales model. And a single client relationship routinely spans several active contracts with different billing structures — fixed-fee, time-and-materials, retainer — running in parallel, not in sequence.

Inside the Model

• Foundational entities — Client, Contract/MSA, Service Line, Resource, Rate Card
• Transactional entities — Statement of Work, Project, Staffing Assignment, Time Entry, Expense, Invoice
• Informational entities — Utilization, Revenue Recognition/WIP, Engagement Profitability, Opportunity Pipeline
• Entity relationships mapping the client-to-cash lifecycle
• Provided as an editable Word document

Where Teams Put It to Work

• Scoping data requirements for a PSA (professional services automation) or ERP implementation
• Defining shared entity definitions across sales, delivery, and finance ahead of a systems integration project
• Structuring master data for clients, contracts, and resources across multiple practices or business units
• Mapping how time, billing, and revenue recognition data need to flow between delivery and finance systems

Who It's For

Data architects and business architects at consulting, advisory, and services firms; IT leaders scoping PSA or ERP platforms; and finance or operations leaders standardizing engagement data across practices.