Automation on a Broken System - Why It Won’t Solve Your Bottlenecks
In Brief:
- Automating broken processes only amplifies inefficiencies.
- The first step is to fix underlying issues before implementing automation.
- Effective automation and AI build on a foundation of optimized processes.
The Pitfalls of Automating Broken Systems
Automation is often seen as a quick fix for business bottlenecks. However, automating a broken process doesn’t solve the underlying issues—it merely speeds up the inefficiencies and errors. Before introducing automation, it’s crucial to address the root causes of any operational challenges. Only by optimizing these processes first can automation deliver the desired improvements in efficiency and productivity.
Businesses that rush into automation without this groundwork often find themselves facing the same problems, but at a faster pace. The key to successful automation lies in first refining the systems it’s meant to enhance.
"Automation is not a magic wand. Without a solid foundation, it can do more harm than good."
—Isaac Davis, CEO, Emberly
This principle also applies to AI. While AI has the potential to revolutionize business operations, it cannot fix a broken system on its own. Just like with automation, AI needs a solid, well-optimized foundation to be effective. Companies that skip the critical step of process optimization will find that both automation and AI merely accelerate their existing issues, rather than resolving them. To truly benefit from these technologies, businesses must first ensure that their systems are functioning efficiently.