Selected Engagements

Every organisation is different. The engagements below illustrate the types of work Modelize has delivered across finance transformation, financial modelling, data analytics and regulatory reporting.

Smart Energy Code (SECCo)

Finance Transformation & Data Analytics

Executive reporting, Power BI dashboards and finance data transformation.


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UK Energy Regulation

Regulatory Financial Modelling

Complex price control and regulatory models.

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ClearBank

Financial Modelling & FP&A

Forecasting, planning and management reporting.

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AI in Financial Modelling

Research & Innovation

Evaluating AI for finance and financial modelling.

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Whether you're planning a finance transformation, developing financial models or exploring the use of AI within finance, we'd be delighted to discuss your requirements.

AI in Financial Modelling

Research & Innovation

Challenge

Generative AI has significant potential to improve financial modelling productivity, but organisations need to understand where it can add value while maintaining governance, transparency and model quality.

Approach

Undertook independent research evaluating the use of large language models to generate financial models of increasing complexity. Compared AI-generated outputs against recognised financial modelling standards, measuring quality, maintainability and the level of human intervention required.

Outcome

  • Developed practical insight into AI's role within financial modelling

  • Identified where AI can improve productivity

  • Evaluated governance considerations and model risk

  • Created a framework for responsible AI adoption within finance teams

Technologies Used

ChatGPT • Claude • Excel • Financial Modelling

UK Energy Regulation

Regulatory Financial Modelling

Challenge

Energy sector organisations require complex financial models to support regulatory submissions, price controls and long-term investment planning. These models must balance technical accuracy with transparency and auditability.

Approach

Designed and enhanced large-scale financial models supporting regulatory price control submissions. Developed robust forecasting methodologies, scenario analysis and governance processes while ensuring models remained transparent, maintainable and suitable for independent review.

Outcome

  • Supported successful regulatory submissions

  • Improved model governance and transparency

  • Enhanced confidence in regulatory financial outputs

  • Reduced model risk through structured modelling practices

Technologies Used

Excel • Financial Modelling • Regulatory Economics • Scenario Analysis

Clearbank

Financial Modelling & FP&A Transformation

Challenge

ClearBank required enhancements to its financial planning and analysis capability to support a rapidly growing business. Existing models and reporting processes needed to evolve alongside increasing organisational complexity and management reporting requirements.

Approach

Worked within the FP&A function to develop and enhance integrated financial models supporting budgeting, forecasting and business planning. Improved reporting processes, model transparency and decision-support capability while working closely with finance leadership and key stakeholders.

Outcome

  • Enhanced forecasting capability

  • Improved financial planning processes

  • Increased confidence in management reporting

  • Supported strategic decision-making through robust financial models

  • Enhanced forecasting capability

Technologies Used

Excel • Financial Modelling • FP&A • Forecasting

Smart Energy Code Company (SECCo)

Finance Transformation & Data Analytics

Challenge

The Smart Energy Code Company required modern executive reporting across finance and operational performance. Reporting relied on multiple spreadsheets and manual processes, making it difficult to produce consistent management information and provide timely insight to senior stakeholders.

Approach

Designed and implemented a comprehensive Power BI reporting solution covering finance, KPIs, service levels, stakeholder engagement, contracts, modifications and executive reporting. Developed an underlying finance data model using Power Query and established automated reporting processes with intuitive dashboards for board and executive users.

Outcome

  • Delivered a modern executive reporting platform

  • Automated previously manual reporting processes

  • Improved visibility of organisational performance

  • Successfully completed user training and knowledge transfer

Technologies Used

Power BI • Power Query • Excel • SharePoint