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Invite colleaguesDocuXperts.SaaS | dBPO network: A decentralised automation platform
Abstract
This paper analyses the potential of decentralised BPO (dBPO) to revolutionise the business process outsourcing industry. The author argues that dBPO can address the shortcomings of traditional BPO models, such as high costs, low quality and lack of innovation. The paper begins by outlining the problems with traditional BPO models. These models are often centralised, which can make them inefficient and inflexible. They can also be expensive, as businesses have to pay for the overhead of managing a large workforce. Additionally, traditional BPO models often lack innovation, as businesses are reluctant to invest in new technologies. The paper then discusses how dBPO can address these shortcomings. dBPO is a decentralised network of businesses and individuals who can provide BPO services. This means that businesses can access a wider range of providers and services, which can lead to lower costs and higher quality. Additionally, dBPO is more flexible than traditional BPO models, as businesses can easily add or remove providers as needed. The paper then presents a case study of DocuXperts.SaaS, a dBPO platform that is being developed by TheoremLabs.io. DocuXperts.SaaS is designed to provide a variety of BPO services, such as document processing, data entry and customer support. The platform is built on top of Human Protocol, a decentralised protocol for crowdsourcing work. The paper concludes by discussing the potential of dBPO to revolutionise the BPO industry. The author argues that dBPO can make BPO more efficient, affordable and innovative. Additionally, dBPO can help to create a more distributed and equitable economy.
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Author's Biography
Prashant Sarode is is Co-Founder and Managing Partner, Head of Product and Art of Possible Labs, TheoremLabs, a wealth FinTech, Web3 lab for novel business experiments and product advisory based in North Carolina, USA. He has 20+ years’ experience in financial services and has held leadership positions in product engineering and architecture. He has a track record in turn-key modernisation and reimagination of business products and operation models using mature capabilities such as cloud, automation and artificial intelligence/machine learning (AI/ML). He is also a patent inventor for mass-production of service-as-a-service (SaaS) hosted white label bot systems. A published author, adjunct faculty and speaker, Prashant is a Journal of AI, Robotics & Workplace Automation editorial board member.