When Days Meant Millions – Accelerated Due Diligence that Averted Risk in a Multi-Asset Energy Acquisition
The Deal That Could’ve Burned Out: How AI Saved Millions in Time and Risk | Case Study
Industry: Energy (Oil & Gas) | Region: Global | Use Case: Spotting inconsistencies in site remediation reports, flagging expired permits, and exposing duplicate liabilities
A major Oil & Gas firm faced a tight deadline to acquire upstream assets from a distressed seller. They had to review 500+ documents—financial reports, reserve assessments, and regulatory filings—spread across assets and jurisdictions. Manual checks were slow and risky, with dangers like expired permits and inflated valuations that could cost millions and damage investor trust.
aiMDC stepped in mid-deal, quickly scanning and analyzing all documents. The AI flagged expired permits, inconsistencies in remediation reports, and hidden duplicate liabilities. What used to take weeks was done in days, with clear audit trails and easy-to-understand summaries for decision-makers.
Thanks to aiMDC, the firm identified critical risks early and renegotiated the deal with confidence. They avoided costly errors, saved millions, protected investor confidence, and strengthened compliance during a major regional expansion.
Client
Environment
Objective
Accelerate due diligence without sacrificing accuracy, ensure all compliance and valuation risks are surfaced before close
What was done
aiMDC analyzed over 500 documents—across legal, environmental, technical, and financial domains—in a parallel, structured process. It flagged expired permits, conflicting royalty clauses, and financial anomalies, all with traceable sources and no hallucinated dat
Achievement
The firm completed diligence in 4 days instead of 3+ weeks. More importantly, it renegotiated $22M off the deal price based on surfaced environmental and royalty risks that would’ve otherwise gone undetected. The team avoided public embarrassment, regulatory fines, and a likely shareholder backlash—all while demonstrating a new standard of diligence integrity.
What happens next…
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‘To protect client confidentiality, certain details have been modified; this case study is intended to illustrate the capabilities of aiMDC’