Business Situation
- A global investment bank specializing in mergers and acquisitions (M&A) advisory wanted to accelerate the due diligence process. The client was facing escalations in deal execution due to an inefficient, fully manual process of analyzing financial statements, market reports, and regulatory filings.
- The client needed to transform the time-consuming and error-prone manual review of financial statements and legal documents. Additionally, it required integrating multiple data sources and implementing real-time risk assessment tools to enable faster decision-making.
SGA Approach
- Process Reimagination: Identified manual components of the due diligence process that could be replaced with automation and artificial intelligence (AI)-powered workflows.
- Agentic AI Workflows: Developed AI-powered natural language processing (NLP) models to extract fundamental insights from unstructured financial and regulatory data, which were further enhanced by a ‘human-in-the-loop’ approach.
- Augmented Analytics: Implemented automation tools for real-time data analysis, flagging anomalies and highlighting potential risks.
- BI Visualization: Developed interactive Tableau and Power BI dashboards based on gathered insights to ease the consumption of information and accelerate analysts’ decision-making.
Key Takeaways
- Efficiency: Reduced average time taken for due diligence by 60% while maintaining 100% adherence to regulatory standards.
- Risk Minimization: AI-driven real-time updates on markets, competitors, and regulations improved risk detection by 60%.
- Revenue Impact: Faster deal closures led to a 50% increase in transaction volumes.
