Most consumer interactions online will soon involve AI agents handling tasks and filtering out marketers and bots.
Venture capitalist Vinod Khosla recently predicted that most consumer interactions online will involve AI agents handling tasks and filtering out marketers and bots. However, this raises a fundamental question: How are enterprises using AI agents to solve problems?
Listed below are ten AI agents used in enterprise automation by different companies.
Developed by UiPath, this agent specialises in robotic process automation (RPA), enabling businesses to automate repetitive tasks across various applications like data entry, customer support, and financial processes. It is incorporated by companies like GE Healthcare to streamline medical record management and Wells Fargo for financial operations.
Developed by Microsoft as a part of Microsoft's Power Platform, this agent helps automate repetitive tasks with AI integration and extensive app compatibility like email handling, notifications, and data updates. It's used by companies like Toyota to automate supply chain notifications and Shell to streamline HR workflows.
Developed by Automation Anywhere Inc, this agent offers an RPA platform with AI bots for end-to-end automation across different workflows and applications. It's used by companies like Coca-Cola for supply chain optimisation and Cisco for automating customer services.
Developed by WorkFusion, this agent combines RPA with AI to streamline operations in sectors like finance and healthcare. Deutsche Bank uses it to automate transaction processes and UBS employs it for document compliance automation.
Developed by the Blue Prism Group, this agent focuses on digital workforce automation, providing an AI-based RPA solution for large scale automation, helping with compliance, data processing and customer service. DHL uses Blue Prism for logistics and order processing, and Coca-Cola uses it for supply chain automation.
Developed by NICE Ltd, this agent offers AI automation tools tailored for customer service, workforce optimisation and back office operations. Companies like AT&T integrate NICE automation for call centre management and Allianz employs it to automate insurance claim processing.
Developed by SAP, it is a part of their Business Technology Platform aimed to offer process automation tailored for SAP ecosystems by automating ERP processes like finance, sales orders, and inventory management. Siemens uses SAP RPA for managing procurement processes, while BMW employs it to streamline logistics.
Developed by Pegasystems, this agent is integrated with CRM and BPM systems, emphasising case management and customer service automation. It's used by Bank of America for automated customer onboarding, while AIG uses it to handle insurance claims processing.
Developed by Appian Corporation, this agent merges RPA with low code capabilities to automate workflows and integrate seamlessly with Appian's low code automation platform. Companies like T-Mobile use Appian RPA for customer service workflows and General Electric incorporates it for data processing tasks.
Developed by AutomationEdge Group, this agent is an intelligent automation platform that integrates RPA, AI and IT process automation for end-to-end digital transformation. It offers automation for both IT and business processes, including ticketing, email processing, and data extraction. This agent is used by American Express for customer support and Wipro integrates it for IT process automation.
AI agents are in high demand in the industry. In the recent past, Oracle, Salesforce, and Microsoft have embraced AI agents as part of a larger trend in autonomous business functions. Oracle introduced over 50 AI agents within its Fusion Cloud Suite, targeting functions like HR and finance. Salesforce unveiled its Agentforce Partner Network, collaborating with companies like NVIDIA to expand AI-driven capabilities. Microsoft enhanced its Copilot agents to streamline workflows via integration with tools like SharePoint.
This push highlights the potential of AI in reducing manual tasks and enhancing productivity across enterprises. With respect to streamline enterprise automation, the above mentioned few can be best suited for finance and HR activities.
On the other hand, OpenAI has partnered with T-Mobile to develop AI customer service agents through a new platform called IntentCX, which uses OpenAI's latest model to analyse customer interactions and optimise service responses. The platform aims to improve customer experiences by processing feedback and refining responses, with a full launch anticipated in the coming year.
Additionally, T-Mobile is working with NVIDIA to further integrate AI in wireless networks, enhancing overall communication systems.
