Artificial Intelligence

Scaling the business with digital robots

Through automation, machine learning, and artificial intelligence, Zagitas boosts business results, increases revenue, and lowers costs.

Problem

With process automation, the company wants to free people from repetitive and mundane tasks and allow them to realize their full human potential in meaningful work which focuses on reflection, creativity, innovation and building relationships.

Solution

To enable people and businesses across the world to make their organizations more efficient through the aid of a workforce of digital robots. For this purpose, solutions with automation (RPA), artificial intelligence (AI) and machine learning (ML) are offered.

Market size 

• TAM – $72 billion
• SAM – $8 billion

Business model 

Zagitas Digital Robot is a technology solution capable of performing specific tasks in business processes. They are digital employees (or digital workforce) that streamline and optimize human work by combining machine learning, artificial intelligence-based skills, and RPA process automation. Robots are digital assistants that integrate AI technologies, RPA, chatbots, business intelligence and other technologies into the enterprise to get the job done in a fraction of the time, at a lower cost and with higher accuracy.

RPA facilitates the construction and implementation of robots that can learn, and mimic human actions and then execute rule-based business processes. Bots are created from observing digital actions performed by people. 

Business intelligence is a way to find actionable information in data and figure out what happened and how it happened. With BI tools and technology, data can be quickly collected, organized and analyzed. Based on this, trends can be visualized on a dashboard to provide predictive analytics to improve results.

Implementing intelligent bots into business processes helps enrich the customer experience, while maintaining control of data and monitoring actions. The chatbot is a fundamental part of the customer experience, as it allows it to interact with users in a natural way through simple integration.

Machine learning is a form of AI that allows machines/systems to learn without being previously programmed. This is an indispensable ability to make systems capable of identifying patterns among data and making predictions. The process involves the algorithm absorbing training data to reproduce more accurate models.

Competitive advantages

Digital robots enable employees to devote their time to higher-return tasks and automate the others. They foster collaboration between team members through more agile, faster, and error-free workflows. Time and costs are saved, processes are streamlined, and errors are minimized.

In numbers, it means 60% reduction in processing time, 24/7 unlimited working hours, 60% improved customer satisfaction, 30% reduction in sales cycles, 85% increased productivity, and 0% error rate.

RPA and chatbots bring higher agility as repetitive tasks are automated, leading to increased productivity through better process management. This results in reduced costs as well as time savings. Customer satisfaction is increased due to higher efficiency.

Machine learning enables intelligent customer service centers that improve the customer experience. It generates personalized responses that strengthen customer loyalty and engagement across different communication channels. Thanks to ML, documents and forms are automatically processed as well as analyzed, it stops fraudulent activities and improves productivity.