AI is not a growth lever. It’s a reflection of your commercial model.

The strongest revenue impact from AI is already happening in marketing and sales. The natural focus now is shifting from productivity gains to actual business outcomes. Despite rising adoption, the impact is uneven.

Where things break

Expectations continue to rise.

Boston Consulting Group estimates that around 60% of companies are still not seeing meaningful financial impact from AI.

Recent Gartner survey shows that 65% of CMOs expect AI to significantly change their role, yet only 32% believe major capability changes are required.

But the commercial setup underneath often stays the same. The challenges we continue to see:

ICP clarity and focus

qualification discipline

sales and marketing alignment

pipeline quality vs. conversion

What the data actually shows

AI can deliver results. The Quarterly Journal of Economics found productivity gains of around 15% in real-world customer support environments.

However these gains are often isolated. They improve tasks not entire systems. This is the core issue. Companies are optimising parts of the funnel, without fixing how the funnel actually works with AI Adoption.

What actually matters

AI increases speed. It increases output. It can support better decisions. But it does not replace structure.

If your commercial model is not clear, and set for innovativ adjustment, AI will make that visible, fast.

What we see working

The companies that are seeing real impact are not the ones doing the most with AI or have adopted the fastest.

They are the ones that are clear on:

who they sell to

how they qualify

how pipeline moves

where revenue actually comes from

AI then becomes useful. Because it sits on top of something that already works and is well integrated.

The ROI from AI adoption goes beyond operational efficiency.

You’ve adopted AI quickly and moved with the innovation wave.congrats. But has your commercial system adapted to turn that activity into sustainable revenue?

Questions? hello@mebu.agency | www.mebu.agency/en