Many European SaaS businesses call themselves AI-powered, but few can show the EBITDA impact of their AI investment or explain why their capability is defensible. This post explains why AI due diligence and technology stack diligence will become a standard exit risk for PE-backed software companies, what buyers such as strategic acquirers and growth equity firms are already asking, and what a genuine AI readiness assessment covers: data infrastructure, operating processes, change management and the commercial model. It draws on Grant Thornton, Mayer Brown, Gartner, McKinsey and MIT NANDA research, sets out five AI use cases tied to net revenue retention and cost lines, and explains how the EU AI Act timeline and AI governance affect deal readiness. Written for founders, PE operating partners and growth leaders preparing for exit.

This 100-day post-acquisition SaaS playbook is built for PE operating partners, portfolio operators, and management teams navigating the critical first months after a SaaS acquisition, drawing on direct experience across 62 portfolio companies to show why the strongest post-acquisition outcomes come from diagnosing before prescribing rather than rushing to install a pre-built growth plan. Covering the real drivers behind early NRR decline, sales rep attrition, ICP drift, and inflated pipeline conversion problems, the piece breaks down the sequencing that separates portfolio companies creating measurable value fast from those still firefighting at month eighteen, and explains why SaaS businesses are uniquely vulnerable to hidden operational fragility that ARR alone won't reveal for six to twelve months. Written for PE firms, operating partners, and SaaS leadership teams managing post-acquisition integration, customer success scaling, and commercial due diligence, this is a practical framework for the first hundred days rather than generic M&A advice, grounded in what actually happens inside SaaS businesses once the deal closes.