Fixed-scope AI consulting sounds safe but delivers the opposite. Here is why agile engagement models succeed when traditional contracts do not, and what mid-size companies need to know.
Enterprise AI governance frameworks kill mid-size innovation through compliance theater that takes six months to approve any AI initiative. Here is how to build lightweight frameworks that accelerate safe AI adoption instead - starting with three core controls that prevent catastrophic failures while enabling teams to ship AI products weekly, not quarterly.
A RAG system that is 85% accurate but easy to use will beat one that is 95% accurate but frustrating. Here is how to design AI systems that non-technical users actually adopt.
The AI consulting market is growing fast, but most new practices fail within a year. The winners are not the ones with the deepest technical expertise. They are the firms that position themselves as business problem solvers who happen to use AI, focusing on outcomes executives actually care about rather than showcasing capabilities.
MBAs need AI strategy skills, not coding. While 74% of employers demand AI fluency, business schools are teaching decision frameworks and prompt engineering - leaving the Python to the engineers.
Most mid-size companies get better AI results with fractional executives at a fraction of full-time costs. Before committing substantial compensation to a permanent hire, companies under 500 employees should prove AI delivers value with strategic part-time leadership first.