A management consulting firm relied on a complex Excel-based financial modeling workbook that required hours of manual data preparation, formula auditing, and narrative writing each engagement. By integrating Python in Excel with Azure OpenAI, the entire workflow was transformed.
The firm's flagship financial model was a 47-tab Excel workbook built over 8 years, containing thousands of VBA lines, complex nested formulas, and manual data import routines. Each new client engagement required a consultant to spend 6-8 hours preparing the workbook — importing client data, running VBA macros, auditing formula outputs for errors, and then writing 3-4 pages of narrative commentary explaining the model results.
The VBA routines were brittle — any change in the source data format broke the import process. Formula auditing was entirely manual. And the narrative writing, while templated, still required a senior consultant's time to customize for each client's specific numbers and context.
Rewrote the fragile VBA data import routines using Python in Excel with pandas, creating robust data ingestion pipelines that automatically detect and adapt to source file format variations — handling column reordering, missing fields, and date format differences that previously broke the VBA macros. Power Query handles the initial connection; Python handles the transformation logic.
Added a Python in Excel script that runs statistical anomaly detection across all key financial metrics after data import — flagging values that fall outside expected ranges based on industry benchmarks and historical client data. Anomalies are highlighted directly in the workbook with color-coded indicators and plain-English explanations.
Built a VBA wrapper that calls the Azure OpenAI GPT-4 API — with credentials stored securely in Azure Key Vault — passing the model's key financial outputs as structured context. GPT-4 returns client-ready narrative commentary explaining results, highlighting risks, and providing recommendations, written directly into designated Excel cells.
Leveraged Copilot in Excel to audit the workbook's most complex nested formulas — generating plain-English explanations of what each formula does, identifying potential logic errors, and suggesting optimizations. This replaced the senior consultant formula review step with an AI-assisted audit that any team member could run and interpret.
Configured a Power Automate flow triggered when a completed workbook is saved to a designated SharePoint folder — automatically generating a PDF export of the key output tabs, attaching it to a templated client email, and routing it through the engagement manager's Outlook for review and send.
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