Robots have become easier to access, but many projects still lose time in the engineering work required to turn automation concepts into reliable production systems.

In many automation projects, the application is understood, the business case is clear, and the right robot can often be selected relatively early. The timeline usually starts to stretch later, when the project moves from selecting the robot to building a system that can operate reliably on the production floor.

It was this recurring pattern that eventually became the foundation of Impaqt Robotics. Through years of designing and deploying robotic applications, one observation kept repeating. Different applications may look very different from the outside, but within each application area, many of the same deployment challenges kept reappearing from project to project. A machine tending cell, a palletizing setup, a case forming application, and a packaging project all require different final solutions, but each involves engineering work around the robot that is solved repeatedly across similar projects. Configuring tooling, managing utilities, routing cables and tubing, integrating sensors, and making the installation reliable enough for production are rarely one-time challenges.

Why deployment speed matters now

This is one of the less discussed realities of automation. Robots have become easier to buy, program, and support, but many implementation challenges remain familiar. The World Economic Forum reports that 63% of employers identify skills gaps as a major barrier to business transformation between 2025 and 2030 [1], while the International Federation of Robotics reports that manufacturers installed 542,000 industrial robots globally in 2024, more than double the number installed ten years earlier [2]. Manufacturers are investing in automation because they need to increase capacity, improve consistency, and reduce dependency on labor that is becoming increasingly difficult to find.

The pressure to automate is real, but moving from a successful project to repeatable deployment remains a challenge for many manufacturers. McKinsey research found that at least 70% of manufacturers become stuck in what it calls "pilot purgatory," where promising initiatives struggle to scale across operations [3]. While robot deployment presents different challenges than digital transformation programs, the underlying lesson is highly relevant: success depends not only on the technology itself, but on whether the surrounding processes and implementation work can be repeated efficiently and reliably.

Where automation projects actually lose time

A CNC machine tending application is a useful example because the task itself sounds straightforward: pick a raw part, load the machine, remove the finished part, and repeat. The challenge is that none of those actions happen reliably without the supporting setup around them. The project still depends on tooling, machine communication, sensor feedback, utility integration, air blow-off, and a physical installation that can survive years of production use.

The same principle applies across many automation applications. While the technical requirements differ, similar engineering work tends to repeat within each application area from project to project. The robot movement is often the easiest part of the project to understand, while much of the deployment effort sits in everything around it. Selecting the robot may take days. Completing the practical work that turns that robot into a functioning system can take considerably longer.