Process Optimization through AI

Process Optimization through AI

Process Optimization through Artificial Intelligence is already a reality.

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Process Optimization through Artificial Intelligence is already a reality.

According to McKinsey & Company ‘s latest report “The State of AI”, operations optimization is the number one case for the application of Artificial Intelligence by large companies worldwide. operations optimization is presented as the number one case of Artificial Intelligence application by large companies worldwide.

Its wide adoption in industries such as Financial Services, Insurance, Legal Services or the Public Sector is largely due to the great developments in Artificial Intelligence in recent years and its clear impact on the bottom line.

These leading companies have created Digital Transformation and Innovation teams that in most cases have prioritized initiatives related to operational efficiency and automation, with Artificial Intelligence as a major enabler.

Specifically within operations, back office operations stand out, which tend to be one of the main cost centers of any organization. Large companies have historically had internal and external teams in charge of managing back-office operations in a very manual way. This approach generates high costs, bottlenecks, labor dissatisfaction and in many cases results in a poor end-customer experience.

The development of new tools related to Process Automation and AI allows these companies to equip their teams with technology that reduces the burden of repetitive, low value-added tasks and makes it easier for these teams to focus on the most critical tasks.

This type of innovation, according to the report by IBM’s “Augmented work for an automated, AI-driven world” report. creates mixed teams between intelligent systems and people that unlock great potential in terms of efficiency and results.

AI won’t replace people—but people who use AI will

replace people who don’t.
– IBM

One of the key points highlighted in the report is that it is not simply a matter of automating current processes. Each of the processes must be rethought, in order of priority according to impact and time to value, in order to simplify and optimize them in a strategic and coherent manner.

At Serimag we work with our clients in this process reengineering to go beyond the automation of document management, offering an integral service of Transformation of the Operational Model. Once the different initiatives have been mapped and prioritized, we apply our Intelligent Automation service to efficiently transform documents into data and help our clients evolve from a traditional BPO model to a scalable, AI-based one.