Tony Fedorenko

Tony
Fedorenko

Managing Partner with Dev Expertise, Mad Devs

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Tony Fedorenko

Your trusted tech partner

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Malaysia, Kuala Lumpur

About

Tony transforms startups and SMBs into more efficient and profitable entities. He practices the agile approach to project delivery combined with the Theory of Constraints (ToC) tooling and Business Modeling practices to refine delivery processes, identify bottlenecks, and manage complex environments to achieve sustainable results such as increased profits, decreased staff turnover and burnout rates, and shortened project delivery time.

Currently, Tony leads the Mad Devs delivery department, successfully combining 10 years of experience in business modeling and agile management with 4 years of professional technical expertise in backend development.

Tony successfully launched several fintech startups in the USA and SEA markets and worked on project delivery for an international bank in the Central Asian region.

He started his Mad Journey as a backend developer transitioning from a traditional job as a head of the SIDP program at the American University of Central Asia. After gaining hands-on skills and experience in software development, he turned back to management and became one of the delivery managers focusing on fintech startups.

Tony obtained his scrum master certification from Scrum.org and ToC Fundamentals certification from ToCICO.org.

Education

American University of Central Asia
Bachelor's degree in Business Administration

Industries

  • FintechFintech
  • EdTechEdTech
  • Cloud SolutionCloud Solution
  • TransportationTransportation
  • Digital transformationDigital transformation
  • Blockchain and CryptoBlockchain and Crypto

Articles and insights

The automation of customer service.

The Automation of Customer Service

Today, technology is rapidly pouring into all areas of our lives, and automation is becoming an integral part of customer service processes. From intelligent chatbots to artificial intelligence systems, the evolution of how companies and their customers interact is undergoing significant change.Automated customer service has advanced with improved voice recognition, enhanced AI for better feedback interpretation, and evolved chatbots directly addressing queries. This shift in functionality transforms automation from issue deflection to a personalized and efficient option for customer assistance.Automated customer service utilizes technology like AI-powered chatbots rather than human assistance. It addresses recurring, straightforward inquiries, offers status updates, or assists in locating specific resources.More and more machine learning bots guide customers by sharing links to relevant resources such as knowledge base articles or FAQs. They can efficiently direct customer queries to the most suitable team and even provide responses to questions like, “How can I add more users?” or “How do I fix a problem?”.After introducing chatbots into their work, some companies reported that automating specific processes enhances the efficiency of customer service organizations. Approximately 88% of customers anticipate automated self-service when engaging with a business.Customer service automation has proven impactful, yielding a 30% decrease in service costs, a 39% increase in customer satisfaction, and a remarkable 14-fold surge in sales.Imagine a customer facing an issue with an electronic product they purchased from your company. The device won't turn on. Automated customer service can guide them through a resolution:Automated customer service ensures a quick and efficient solution to issues in this seamless resolution process. This dedication to user-friendly support is just one way you can prioritize experience. Now, let's explore how Mad Devs has successfully integrated automated assistance to enhance customer satisfaction and streamline issue resolution.Recently, our developers worked on a chatbot for an online platform that provides information and reviews about technology companies, digital agencies, and information technology service providers.As part of this project, it was necessary to create a chatbot to assist site visitors in selecting a service provider and answering questions related to the site's operation. The working principle of the chatbot is as follows:OpenAI works under the hood of the chatbot, assisting in conducting a dialogue. The chatbot not only processes individual keywords but also analyzes the context and structure of sentences, considering the user's previous statements. This allows it to understand queries more accurately and create more consistent and meaningful responses. Therefore, this approach makes interaction with a chatbot more natural and productive, elevating customer service to the next level.

Case Studies