The AI Operating Model: Why Most Digital Transformations Fail
By Elena Vasquez
Companies invest millions in AI technology but neglect the operating model changes required to capture value. Here's how to avoid the trap.
We see it repeatedly: a company invests $10M+ in an AI platform, trains the models, builds the dashboards — and six months later, nobody uses them. The technology works. The operating model doesn't. AI doesn't fail because of algorithms. It fails because organizations don't redesign their decision-making processes, incentive structures, and talent models to actually use AI outputs. The companies that succeed treat AI as an organizational transformation, not a technology deployment.
At Meridian, we see these patterns across industries. The specifics vary, but the underlying dynamics are remarkably consistent. Organizations that succeed are the ones that treat transformation as a management discipline — with clear accountability, rigorous measurement, and the patience to see it through.
If you're facing a similar challenge, we'd welcome the conversation. Reach out to our team.
Elena Vasquez
Partner, Meridian Advisory