At the Imagine 2023 conference on September 19, Automation Anywhere, a leader in intelligent automation, announced expansions to its automation platform. Launched a new Responsible AI Layer and announced four key product updates, including new Autopilot, which leverages generative AI to rapidly develop end-to-end automation from process discovery. Also announced are new expanded capabilities for Automation Co-Pilot for business users, Automation Co-Pilot for Automators, and document automation.
New tools and enhancements deliver AI-driven automation to every team, system, and process and enable AI to work securely across the organization.
Automation Anywhere stated in its promotion that with the rise of chatbots such as ChatGPT, generative AI has become the hottest technology trend this year and is the perfect solution for companies looking to improve productivity.
New AI architecture Responsible AI Layer
This innovation is based on a new AI architecture that has been carefully designed to ensure that while promoting technological progress, it also fully considers ethics, law, and social responsibility. The architecture includes some new, customized AI automation models. These models are based on advanced large-scale language models, trained and optimized by analyzing millions of anonymous metadata to improve their performance and accuracy. At the same time, the AI architecture also includes other AI tools, as well as some key security and management functions. These functions not only help protect users’ privacy and data security, but also provide important support for the development of next-generation automation technology.
New ways to improve business user efficiency
In June this year, Automation Anywhere released a series of innovative tools based on generative AI, including Automation Co-Pilot and document automation solutions designed for business users. These tools are now widely used and have been expanded to more usage scenarios and LLM integration capabilities.
Automation Co-Pilot provides business users with a new way to seamlessly integrate automation technology into business or web applications. Users can embed automation into every business application, making generative AI easily accessible to every employee when they need it. Now, with the power of generative AI, Automation Co-Pilot is able to handle many previously unsolvable problems, such as processing and routing emails for customer service teams, handling anti-money laundering alerts and reporting in the banking industry, and providing services in healthcare. Patient generated post-visit summary. Additionally, Automation Co-Pilot acts as a built-in safeguard to securely manage business teams’ interactions with generative AI. Users can now automate workflows in platforms such as Salesforce, Workday, Genesys, ServiceNow, SAP, Microsoft Teams and other popular business applications.
The document automation solution is an intelligent document processing tool that leverages generative AI to quickly understand, extract, and summarize data. It can handle a variety of semi-structured and unstructured document types and supports a variety of supply chain use cases including waybills, packing lists, purchase orders and contracts. It can reduce manual data processing time by up to 80%, thereby significantly improving Team productivity.
Document automation workflow
Automation Co-Pilot for Automators and Autopilot products powered by generative artificial intelligence significantly reduce the time from automation to return on investment from months to minutes. "Automation Co-Pilot for Automators" is now in the testing phase and is scheduled to be officially launched in early 2024. "Autopilot" will also be launched in early 2024.
Autopilot automatically finds new automation opportunities and turns them into full automation using the power of generative AI. It seamlessly integrates process discovery, CoE Manager and "Automation Co-Pilot for Automators" to accelerate the automation development process. This new capability enables organizations and teams to move from process discovery to automation creation in minutes, greatly simplifying the communication and collaboration process between business and automation teams that would otherwise take months. This seamless, integrated experience enables enterprises to stay agile in today's dynamic business environment, helping them quickly understand changes in their company's business processes and develop new automation programs based on new needs.
"Automation Co-Pilot for Automators" allows ordinary citizens and professional developers to turn natural language prompts into full automation, which greatly reduces the difficulty of automation for teams. After launching this spring, Automation Anywhere is now launching new features including a recorder and generative AI that enable automation to respond to application changes, transform natural language instructions into personalized automation, and provide next-step possibilities. Real-time suggestions for actions.
Maureen Fleming, associate director of AI and automation research at IDC, said, "Generative AI will combine with automation in at least three main ways, making the benefits of automation more accessible to employees. Generative AI will expand the scope of what can be automated and provide interaction style suggestions and answer questions to help teams complete their work more efficiently and accurately. Generative AI will also increasingly enable long-tail automation, supporting individual and team automation through employee-driven interactive automation."
At the Imagine conference, Automation Anywhere also brought a new set of AI tools, rules and best practices as a key part of its Responsible AI layer. This comprehensive feature set is designed to help organizations without large teams of data scientists or AI developers build and scale AI-driven automation while providing necessary safeguards. These novel tools and features are expected to be launched in early 2024.
About AI tools, rules and best practices, including:
Model Selection: Users can securely integrate and manage generative AI models from a variety of vendors on Automation Anywhere’s open platform. In a secure customer instance, all processing is completed within the customer's self-managed tenant, and all data is encrypted.
Testing and Optimization: Automation Anywhere provides a range of tools that allow users to test models and optimize cues to achieve the best results in specific usage scenarios. In-product guidance is also provided to teach users how to fine-tune to improve performance.
Prompt templates: Users can choose to use the prompt templates designed by Automation Anywhere for each model, or develop their own. These reusable, enterprise-managed templates make it easier for users to get the results they need.
Data Privacy Controls: Automation Anywhere provides customizable control options that give businesses an extra layer of protection, including a suite of data masking capabilities to ensure sensitive data remains under the user’s control and within the user’s environment. Users can manage model usage with confidence and desensitize sensitive customer data in prompts to ensure data privacy.
Monitoring and auditing: Automation Anywhere integrates a new set of generative AI analysis and auditing tools in the command center, which users can use to monitor the performance of models and check for data privacy violations.
Mihir Shukla, co-founder and CEO of Automation Anywhere, said the combination of artificial intelligence and intelligent automation represents a transformative technological shift. Every company, every team, every person will be able to reimagine their jobs and automate the processes that hold them back. Talented people with AI and intelligent automation capabilities will revolutionize their organizations by increasing productivity, creativity, and accelerating business development.
In addition to launching new automation tools, Automation Anywhere is also expanding its partner network and enhancing integration capabilities with Google Cloud and AWS. Enhanced user support through the Pathfinder community, including a newly formed generative AI community team, a generative AI skills improvement series, and expert-led AI expansion guidance, thereby further solidifying its leading position in the market.
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