From AI Hype to Execution: What M&A Leaders Are Prioritising Now

‍At this year’s M&A Excellence Days conference in Frankfurt, one theme came through clearly: the industry isn’t short on innovation, it’s short on clarity. Artificial intelligence continues to feature prominently in the M&A conversation, but many teams are now experiencing what could best be described as “solution fatigue.” With a growing number of tools promising transformation across the deal lifecycle, the challenge is no longer access to technology, it’s understanding what actually delivers value. Conversations have begun to shift away from experimentation for its own sake, toward more pragmatic questions: Where does AI genuinely improve outcomes? And where does it simply add noise?

At the same time, there’s a noticeable acceleration in adoption among large organisations. Compared to even a year ago, enterprises are moving faster to implement new technologies. Legacy systems across CRM, analytics, and project management are steadily being replaced by more modern, intuitive platforms. Ease of use and speed of deployment are emerging as critical decision factors, reflecting a broader push toward tools that can be embedded quickly into existing workflows without heavy change management overhead.

Another area drawing attention is the rise of AI agents. While still in early stages, these systems are beginning to be tested in practical applications such as workflow automation and document creation. Most organisations remain in an exploratory phase, carefully evaluating where these agents can be reliably integrated.Taken together, these trends point to a broader shift in mindset. The focus in M&A technology is moving away from exploration and toward execution. Firms are becoming more selective, more outcome-driven, and more disciplined in how they approach digital transformation.

For those of us who have worked directly in M&A, this shift feels both necessary and overdue. At Savantiq, this is exactly where we’re concentrating our efforts - bringing clarity to a crowded landscape. The goal isn’t to introduce more technology for its own sake, but to ensure that the right tools are applied to real, high-impact use cases across the deal lifecycle.

Because ultimately, the future of M&A won’t be defined by how much AI is used, but by how effectively it’s applied.

Picture: Fons Heijnsbroek