BackgroundDuring the evaluation of three potential acquisitions, a leading oil and gas firm accessed multiple data rooms containing critical revenue and contract information—each with varying formats, levels of completeness, and detail. The team needed to validate revenue, fees, product mix, and decline economics using spreadsheets, POP statements, and settlement data, while also reviewing midstream and gathering agreements. All of this had to be completed under a tight deadline, despite the complexity and inconsistency of the data. | ![]() |
The ChallengeThe company needed a faster and more precise method to analyze revenue and contract data from multiple acquisition targets. Traditionally, their process involved extensive, time-intensive manual work—taking weeks to extract, normalize, and analyze the data. This often led to unavoidable assumptions due to the complexity and sheer volume of information. To support better decision-making, the firm needed a more efficient and accurate way to process data and generate actionable insights. |
Solution
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AEGIS ingested hundreds of POP statements and delivered a fully normalized dataset across multiple processors within an hour—dramatically accelerating the evaluation process.
Using its AI-powered platform, AEGIS processed midstream and gathering agreements, generating detailed standard briefs with page references and significantly reducing manual review time.
All processed data was made available in the AEGIS platform and accessible via API, enabling direct integration with the customer’s financial models for seamless, real-time analysis.
By linking a standard acquisition model to the AEGIS API, the firm was able to evaluate gas quality, NGL yields, contract rate structures, and other critical deal factors in real time.
Results & Impact
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Conclusion
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