Mahesh Vinayagam
About Mahesh Vinayagam
CEO and Founder - Mahesh Vinayagam
Mahesh Vinayagam is the CEO and Founder of his organization. With over eight years of industry experience, Mahesh has developed a strong expertise in intelligent automation and document processing solutions. He has led his company to establish key partnerships and venture into various industries including healthcare, insurance, banking, and manufacturing.
Partnerships with UiPath, Microsoft, AWS, and Lorven Technologies
Under Mahesh Vinayagam's leadership, the company has formed strategic collaborations with UiPath, Microsoft, AWS, and Lorven Technologies. Achieving Platinum Partner status with UiPath, Mahesh has reinforced his company's capabilities in offering leading-edge automation solutions. These partnerships have enabled the company to deliver top-tier services to its clients.
Development of the Automation Cube with UiPath
Mahesh Vinayagam spearheaded the development of the Automation Cube, a managed service solution crafted in collaboration with UiPath. The Automation Cube is designed to provide end-to-end intelligent automation and document processing solutions. It enhances efficiency and accuracy across various industries, addressing key operational challenges.
Industry-specific Automation Solutions
Mahesh Vinayagam's company specializes in delivering automation solutions tailored to specific industries. These include healthcare, insurance, banking, and manufacturing. The company's solutions have resulted in significant improvements for clients, such as reducing processing time, increasing efficiency, and minimizing errors.
Notable Client Successes
Mahesh Vinayagam has a proven track record of helping clients achieve substantial operational improvements. Examples include: assisting a Fortune 500 tech company with processing over 1 million invoices annually; enabling a top financial services company to achieve over 90% cost and time savings; implementing RPA solutions for a global energy company to save 95% of time; reducing processing time by 75% and errors by 90% for a global top 10 bank; aiding a government organization to improve accuracy by 99% and processing efficiency by 85%; helping a leading manufacturer achieve faster month-end closures with a 99% reduction in errors; and increasing claims processing by over 7x for a top healthcare client.