What Went Wrong - From Automation Failure to Success

Using AI in an enterprise has emerged as a transformative force, promising increased efficiency, enhanced productivity, and cost savings. However, like all complex initiatives, automation projects are not immune to challenges and failures. From difficulties ensuring data compliance when using Generative AI, obstacles scaling automation projects, technical hurdles and inadequate planning to resistance from employees and insufficient stakeholder alignment, these projects often encounter barriers which can impede their success. Such setbacks not only impact individual organisations but also have a broader influence on the automation technology landscape as a whole. 

Failures serve as valuable lessons, driving innovation, improved methodologies, and a deeper understanding of the critical factors which contribute to successful automation implementation. By recognising and addressing these challenges, IA leaders can navigate a path towards greater maturity, scalability, and widespread adoption of IA solutions. 

Ahead of the Intelligent Automation Exchange Europe 2023 (November 27-28, London), we spoke exclusively to Hans Brueck, Director of Digital Transformation, TE Connectivity, about a previous automation project which they consider to be a failure, and how they identified and assessed the problems that led to this. This interview also uncovers the key lessons they learnt and how these have influenced subsequent automation projects, the key factors which differentiate a successful automation project from a failure, as well as top advice to increase leaders’ chances of automation success, to help you transition from automation failure to resounding success. 

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