Decision of adopting any new technology in an organization is a crucial decision as it can have impact at the technical, economical, and organizational level. Therefore, the decision to adopt Cloud-based services has to be based on a methodology that supports a wide array of criteria for evaluating available alternatives. Also, as these criteria or factors can be mutually interdependent and conflicting, a trade-offs-based methodology is needed to take a decisions. This paper discusses the design, implementation, and evaluation of the prototype developed for automating the extended theoretical methodology of Trade-offs based Methodology for Adoption of Cloud-based Services (TrAdeCIS) developed in . This system is based on Multiattribute Decision Algorithms (MADA), which selects the best alternative, based on priorities of criteria of a decision maker. The applicability of this methodology to the adoption of cloud-based services in an organization is validated with a use-case and is even extended to other domains, especially for Train Operating Companies.