Why Most Automation Projects Fail (And How to Fix Them)
Stop blaming the technology. The root cause of failed digital transformations is almost always process and people.
70% of digital transformation projects fail. That's a staggering statistic. After deploying hundreds of solutions, we've identified the pattern.
1. Automating Chaos
The cardinal sin of automation is applying it to broken processes. If your manual process is inefficient, automating it just makes it inefficient faster. You must optimize the workflow before you apply the AI.
2. The "Human in the Loop" Fallacy
Many projects aim for 100% automation immediately. This is a recipe for disaster. Successful deployments start with "Human in the Loop" (HITL) systems where the AI drafts, and the human approves. Only once confidence scores hit 98%+ do you remove the training wheels.
3. Change Management
Engineers build tools; people use them. If your staff fears the AI will replace them, they will sabotage it (consciously or effectively). You must frame automation as a "Super-Suit" for your employees, making them faster and removing their boring tasks.
"Technology is easy. People are hard."
The Fix
Start small, measure everything, and over-communicate with the teams whose lives you are changing.