Model Audit
Maximum confidence in your model and outputs
Specialist skills and knowledge to test the reliability and accuracy of financial models
You can’t afford to make a mistake when critical decisions depend on your model. Financial models are often built in-house, under time pressure, and updated over time by multiple users. As models evolve, errors happen which leads to faulty decision making.
Our model audit services help clients identify errors, test assumptions, and confirm whether their financial models are reliable, transparent, and fit for purpose. We combine hands-on model building experience with rigorous audit expertise to review the mechanics, logic, structure, formulas, and outputs of each model.
Our team identifies where a model performs as expected, where it needs improvement, and which issues could have the greatest impact on results. Each review is supported by clear, practical reporting that highlights key risks, errors, findings, and recommendations. With experience across a wide range of businesses, industries, and model types, we deliver independent audit opinions that help clients move forward with greater confidence
Model Audits and Related Services
Application of Theory Audit
A review of whether the model correctly applies the relevant financial, accounting, tax, valuation, commercial, or industry-specific theory. We assess whether the methodology is appropriate, the assumptions are logically applied, and the outputs are consistent with the underlying purpose of the model.
Application of Theory Audit
A review of whether the model correctly applies the relevant financial, accounting, tax, valuation, commercial, or industry-specific theory. We assess whether the methodology is appropriate, the assumptions are logically applied, and the outputs are consistent with the underlying purpose of the model.
Technical Model Audit
A detailed review of the model’s construction to identify formula errors, broken links, circular references, inconsistent logic, hardcodes, formatting issues, and other technical mistakes. This review helps confirm that the model is functioning as intended and that its outputs can be relied upon.
Technical Model Audit
A detailed review of the model’s construction to identify formula errors, broken links, circular references, inconsistent logic, hardcodes, formatting issues, and other technical mistakes. This review helps confirm that the model is functioning as intended and that its outputs can be relied upon.
Model Design Audit
A review of how clearly and effectively the model is structured, organized, and presented to the user. We assess whether the model is intuitive, easy to follow, visually clear, and capable of telling the right story to management, investors, lenders, boards, or other stakeholders.
Model Design Audit
A review of how clearly and effectively the model is structured, organized, and presented to the user. We assess whether the model is intuitive, easy to follow, visually clear, and capable of telling the right story to management, investors, lenders, boards, or other stakeholders.
Model Rebuild
A comprehensive rebuild of an existing model that is no longer fit for purpose. We review the current model’s structure, logic, assumptions, usability, and outputs, then rebuild it using best-practice financial modeling standards. The result is a cleaner, more transparent, more robust model that is easier to use, audit, update, and present.
Model Rebuild
A comprehensive rebuild of an existing model that is no longer fit for purpose. We review the current model’s structure, logic, assumptions, usability, and outputs, then rebuild it using best-practice financial modeling standards. The result is a cleaner, more transparent, more robust model that is easier to use, audit, update, and present.
Our Approach
Our team follows a streamlined, proprietary model audit and review process that evaluates key assumptions, calculations, controls, and structural integrity to deliver reliable, transparent, and high-performing models. Leveraging extensive industry experience, best-practice frameworks, and internal tools, every recommendation and enhancement is supported by rigorous analysis and high-quality data.