The emergence of the director of automation

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There have definitely been easier years than 2022 to try and start a business. Compared to large companies, small companies find it harder to absorb shocks such as changes in inflation, supply chain disruptions and changing workplace demographics. We're seeing evidence that investors are beginning to prefer seeing evidence of profits over growth, anathema to startup founders only a few years ago. At the same time, founders who embrace technological innovation have a huge opportunity.

Through our work with companies of all sizes in all industries around the world, we find that the convergence of these trends explains the increased focus on "intelligent automation" as companies engage in digital transformation journeys. By applying artificial intelligence (AI) to IT operations (AIOps), robotic process automation (RPA), decision management, and business automation, companies can cut costs and do more with less. Intelligent automation is also helping to tackle the global skills shortage by empowering employees to work on more engaging, value-added tasks, while helping businesses deliver exceptional customer experiences.

Nine out of 10 employees who used automation-based tools improved their work-life balance. In short, process automation makes businesses healthier – with the critical caveat that it is applied thoughtfully, monitors user and employee experience, and provides deliberate assessment of the impact of automation of a certain process on the organization as a whole.

In this context, the role of the chief automation officer (CAO) becomes an important investment in the digital transformation of a company. Not only is the role of CAD emerging rapidly, but it is also gaining prominence due to the positive impact automation has on businesses across all industries. The CAO will be responsible for implementing business process and IT operations decisions across the enterprise to determine when and what type of automation strategy is best suited for each business imperative while working with a wide range of leaders across all pillars of the business.

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As part of a collaborative process, CIO identifies areas for automation and modernization, Chief Data Officer (CDO) collects data insights from workflow automation, Chief AI Officer (CAIO) implements advanced AI methods and algorithms in automation processes, and COO aligns with change management.

With the right automation processes and team in place, CAOs can measure success on the following metrics:

1. Every vertical and every use case can benefit from AI and automation

AI-driven automation enables companies to apply intelligence across their entire business, bridging the gaps in workflows between business and IT. For example, IBM we...