Reinforcement Training (RT) is more generic than supervised or unsupervised learning for AI and ML models. Reinforced Learning is more of an interaction with the environment to achieve a goal. It is referred to as a learning problem to control a system so as to maximize some value representing a long-term objective.

Any business process integrating artificial intelligence generates an inevitable error rate and presumed as a normal operational mode. Only Humans can collaborate with these AI Agents to provide a suited response to these exceptions. vReimagine's IO Team works alongside with Intelligent Agents or Workers to escalate and manage such exceptions resulting out from automation processes.

An organization’s BO (back office) operations process outsourcing can significantly impact its success. Voluminous data get accrued from various operational and transactional processes on a daily basis, such as order processing and fulfillment, application registration processing, transaction processing, billing and payment processing, and collections that require effective back-office solutions.

Automating a process with AI is a reality by initiating a scalable approach by making the right investment-strategy for transformation. Leveraging AI implementation segmented across your business-processes enables us to bring new efficiencies and transform into productivity. But what if, your AI solutions throw an exception at large?

Our Accelerators

• IDW-Centers: Helps in providing a solidified and unified business interoperability user experience to monitor and manage RPA-enabled operations including agnostics, real-time monitoring, Open API & database connectivity, unified dashboard view, and embedding process to evaluate performance.
• IDW-Vaults: A centralized repository of sustainable IDW components that aid in accelerated a