RPA and AI: Do you know those repetitive procedures that are necessary? What about those complex steps at work with lots of information and details? Both processes can be facilitated using RPAs ( Robotic Process Automation) and Artificial Intelligence (AI).
Together, these technologies contribute to the operational efficiency of companies, simplifying steps and taking responsibility for repetitive procedures with little strategic content. In other words, it saves time and money!
For your business, you can outsource these technologies and management services, placing specialized professionals to manage these processes and favoring the adoption of digital transformation in your organizational culture gradually and productively.
But, Practically, What Are The Advantages Of AI For Your Business?
In a survey conducted by Microsoft, 73% of information security directors found that their companies had found leaks and dissemination of relevant data in the last 12 months and intended to spend more on technology to avoid these risks.
Artificial Intelligence can be the key to securing your information. It examines a large amount of harmless and harmful data and formulates an algorithm. And this formula serves as a parameter to identify potential risks to the company.
It is also worth remembering that AI has the power of gradual improvement, learning from its projections, results and metrics.
AI and RPA together are critical to increasing the productivity of your business!
While AI builds machines capable of thinking, acting and learning like humans, RPA is responsible for automatically performing this function. Thus, robotic process automation, for example, can be programmed to perform repetitive and high-volume tasks usually performed by humans.
Articles, documents, images, videos and emails are examples of unstructured data that can be organized practically and effectively using these two technologies. With AI, it is possible to process all this data in a scalable way. When AI powers RPA, robots learn to find patterns in unstructured data and implement precise processes.
The result is better management of complex decision processes. Combined, they generate advanced analytics and optimize the system. For investment firms, real-time decision-making can analyze thousands of inputs, constraints and business options and arbitrate between multiple internal goals and business decisions previously made manually or in a complex way.
AI collaborates for information and data generated in real-time that are more accurate than those done manually by the team. You save time and increase productivity, as we mentioned in the previous topic, and more assertiveness!
Software robots automate repetitive, rule-based tasks previously performed by humans. Thus, using AI minimizes information errors, as it is possible to gather a large amount of data, such as information from customers, suppliers and much more.
Some platforms that use Artificial Intelligence already automate and manage internal company processes. They can be used personalized, according to the business segment.
In addition, the tool provides you with data on deliveries and performance, reducing your time invested in micromanagement and increasing your availability to think of strategic solutions for the team.
Improved Customer Experience
The consumer wants a complete, transparent, and straightforward experience, whether physical or virtual. Retailers that face the challenge of shaping their business, putting the consumer at the base of all strategies and taking the best of each solution will undoubtedly come out ahead in this new environment.
An example of how AI can help the e-buyer experience is through chatbots. They are great options for customer service, as they interact in an increasingly humanized, dynamic, personalized and intelligent way with consumers in various service channels, such as websites, totems, applications or chats.
The more you know about the forms of AI, the more options you will have to optimize the management of the company and the relationship with your customer.
With the application of AI, operations are automated and have less risk of information leakage and processes become more productive and efficient.