Eliminating Assumptions: The New Standard in Energy Acquisitions

Background

A leading energy firm, actively engaged in acquisitions, needed a faster and more precise method to analyze revenue and contract data from multiple acquisition targets. Traditionally, their process was manual and time-intensive, requiring weeks of data extraction, normalization, and analysis. This often led to unavoidable assumptions due to the complexity and sheer volume of data. 

The Challenge

During the evaluation of a new acquisition, the company accessed a data room containing critical revenue and contract information. The team faced a challenging task: 

• Analyzing POP statements across multiple processors 
• Reviewing midstream and gathering agreements
• Meeting a tight deadline with high data complexity

The traditional workflow required extensive manual effort, making it nearly impossible to capture all relevant details accurately. The firm needed a more efficient and accurate solution for processing data and generating actionable insights.

Solution

Rapid Data Normalization AEGIS loaded the POP statements and returned a fully normalized dataset across multiple processors within an hour, significantly accelerating the process.  Automated Contract Analysis Using an AI-powered platform, AEGIS processed the three included midstream/gathering agreements and generated detailed standard briefs with page references, reducing manual review time.  Integration & Accessibility All processed data was made available in the AEGIS platform and via API, enabling direct integration with the customer’s financial models for streamlined analysis.  Real-Time Insights The firm linked a standard acquisition model to the AEGIS API, allowing real-time updates to evaluate: Gas quality | NGL yields | Contract rate structures | Other critical deal factors

Results & Impact

Impressed by the speed and accuracy of AEGIS, the customer expanded usage to two additional acquisitions. The process was repeated, and within just two hours, the platform delivered normalized data and contract insights for both deals. Key Comparisons to Traditional Workflow:   By leveraging AEGIS, the customer eliminated inefficiencies and gained greater confidence in acquisition decisions. The ability to process large volumes of complex data in hours instead of weeks not only accelerated their deal-making process but also enhanced accuracy and depth of analysis.

Conclusion

This case study highlights the transformative power of automating data extraction, normalization, and contract analysis. With AEGIS, companies can make faster, data-driven decisions with greater confidence. In the high-stakes world of acquisitions, where speed and precision are critical, AEGIS turns weeks of work into hours—unlocking new opportunities and optimizing deal outcomes.