4. Look Ahead
Another thing to consider is the vendor’s product roadmap. Understand how the vendor plans to continue evolving their platform capabilities. Also ask whether their vision aligns with your own. You want to be sure the technology will support your goals – not just now but five years into the future.
5. Start small
Often, organisations struggle to get their automation projects off the ground because they choose a complex, high-ROI project for the first use case or proof of concept. For your first foray into intelligent automation, rather choose a low-risk, low-complexity project – and build skills, confidence and momentum from there.
6. Understand your culture
In some organisations, people are resistant to change. Often, there’s a lot of fear around robotics and AI because there’s concern that people will be displaced, and jobs will be lost. A lot of programmes struggle because employees do not believe in the technology. Through effective people and change management, however, you can gain a deeper understanding of the cultural shifts that need to happen to establish trust in the power of automation.