Studies show that up to 40% of AI and automation projects get canceled before they deliver results. After working with dozens of businesses, we have seen the same patterns over and over.
The three biggest reasons projects fail
First, the project is disconnected from how the team actually works. An automation that does not plug into your existing tools is useless. Second, the scope creeps. What starts as a simple email automation turns into a six-month IT overhaul. Third, there is no clear owner. The project stalls because nobody is responsible for getting it across the finish line.
What we do differently
We start every project by mapping your actual workflow, not a theoretical one. We scope tightly, deliver in 2-4 weeks, and train your team before we leave. Every project has a fixed price and a named engineer who owns it start to finish.