Technology Diligence: What Acquirers Are Still Getting Wrong

Technology diligence in M&A transactions has improved dramatically over the past decade. Most acquirers now conduct some form of technical review before close. The quality of that review varies enormously, and the gaps that exist are remarkably consistent — and remarkably expensive when they surface post-close.

Traditional IT diligence is focused on risk: infrastructure stability, security posture, technical debt, integration complexity. Those are legitimate concerns. But they represent only one dimension of the technology picture. The dimension that matters most for value creation — and the one that gets the least attention — is capability.

The Three Gaps

The first gap is AI and automation readiness. Most diligence teams assess whether the target has a data warehouse and whether it is clean. They do not assess whether the data infrastructure can support the automation deployments that will drive the value creation plan. If the plan calls for AI-enabled operations improvements, the data architecture needs to support that. Most diligence teams are not asking those questions.

The second gap is workforce technology capability. The question is not whether the target has modern software — it is whether the people in the organization know how to use it and whether adoption is real. A CRM that 30 percent of the sales team actually logs deals into is not a CRM asset. It is a partially implemented system with a change management problem.

The third gap is integration architecture. Most acquirers assess whether systems can be integrated with the buyer's stack at a surface level. The ones who get surprised post-close are the ones who did not dig into how tightly the target's core systems are coupled to systems that the buyer cannot or will not retain.