COMPEL Glossary / due-diligence
Due Diligence
Due diligence is the comprehensive investigation and risk evaluation of an organization, technology, vendor, or partnership opportunity conducted before making a significant commitment such as an acquisition, major vendor contract, or strategic partnership.
What this means in practice
In AI contexts, due diligence extends beyond traditional financial and legal review to include assessment of data assets, model quality, AI talent, technical debt, compliance posture, ethical practices, and governance maturity. For organizations, thorough AI due diligence prevents costly surprises such as discovering after an acquisition that acquired models were trained on improperly licensed data or that critical AI capabilities depend on a single engineer who has departed. In COMPEL, due diligence practices are covered in the strategic advisory content of Module 3.1 and the cross-organizational governance of Module 4.3.
Why it matters
Failure to conduct thorough AI due diligence before acquisitions, major vendor contracts, or partnerships can result in acquiring systems with hidden biases, undisclosed regulatory exposure, or unsustainable technical architectures. The cost of discovering these problems after commitment can be orders of magnitude higher than the cost of pre-commitment investigation. AI-specific due diligence has become a critical competency for any organization making significant AI investments.
How COMPEL uses it
Due diligence practices are covered in the strategic advisory content of Module 3.1 at the AITGP level and in the cross-organizational governance of Module 4.3 at the AITP Lead level. COMPEL's 18-domain maturity model provides a structured evaluation framework applicable to due diligence, enabling systematic assessment of an acquisition target's or vendor's AI capabilities, governance maturity, and hidden risks.
Related Terms
Other glossary terms mentioned in this entry's definition and context.