Most SMB due diligence today is slow, expensive, and inconsistent, manual review of messy financial, legal, operational documents leaves searchers choosing between thoroughness and a closing timeline they can actually afford. I'm part of the team behind a platform that automates SMB due diligence using AI agents: pulling data from financial statements, contracts, and other deal docs, and turning it into a complete and comprehensive QoE report cutting review time significantly compared to manual QoE work and at much more affordable price. We're looking to partner with a CPA (or small accounting firm) who works with search fund acquirers and independent sponsors on QoE / financial due diligence engagements. What we're looking for: - A CPA who's run financial DD on SMB acquisitions and knows where the manual review pain actually lives - Someone willing to test on a real (or recent) deal and give us direct feedback on accuracy, gaps, and what a QoE-ready output should look like - Input on report structure/templates so the output matches what searchers and their lenders actually expect What's in it for you: - Early access and white labeling of the platform, shaped around your workflow rather than a generic build - Revenue sharing - First-mover advantage offering AI-accelerated DD to your search fund clients before your competitors do If you've done financial due diligence on lower-middle-market deals and have thoughts on where AI could actually help (vs. where it can't), I'd love to connect. Comment below or DM me.