Private Equity AI Buyers Guide & Vendor Checklist
Evaluation checklist for PE AI platforms: workflow coverage, source grounding, financial model quality, security, IC-ready outputs, and adoption model.
Direct Answer
A PE AI buyers guide should evaluate workflow coverage, source grounding, financial model quality, security, IC-ready outputs, integration depth, and human review controls.
Must-have controls
Source citations, tenant isolation, role-based access, clear data retention, export controls, and human approval workflows.
Must-have outputs
CIM extraction, diligence questions, model inputs, market context, IC memo sections, presentation materials, and portfolio analytics.
Implementation model
Assess whether the vendor can calibrate workflows to firm-specific templates, approval norms, sectors, and data sources.
Frequently Asked Questions
What should a PE firm ask before buying AI software?
Ask what data sources are supported, how citations work, how private data is protected, what outputs are review-ready, what integrations exist, and which claims are substantiated.
Should PE teams review AI-generated outputs before use?
Yes. ReturnCatalyst is a decision-support platform. Deal, finance, legal, tax, valuation, underwriting, and portfolio conclusions should be reviewed by qualified professionals before use.