10/09/2026
Large IT projects run 45 percent over budget and deliver 56 percent less value than predicted, according to McKinsey and the University of Oxford.
AI projects are on track to repeat that pattern, and most of the damage happens in the first few weeks, when nobody will say the scope is wrong or the data isn’t ready.
We plan for the data cleanup and legacy integrations every AI tool depends on. We keep one team from kickoff through go live, and measure success by whether people actually use the system.
It can take a bit longer, but that’s how we keep those percentages lower.
Planning your next AI or IT project? Send us a DM and let’s talk.