Agentic AI Vs. Traditional Due Diligence: Which Finds More Deal Value in 2026?
In the high-stakes arena of global mergers and acquisitions, the margin for error has never been thinner. As we navigate the complexities of 2026, the volume of data generated by a target company: ranging from structured financial records to billions of unstructured data points across Slack, Jira, and cloud repositories: has rendered traditional due diligence not just slow, but potentially negligent. For the modern executive, the question is no longer whether you should use AI, but...
