The 2nd generation of GenAI process models and the new AI Studio enable the democratic creation of AI agents, the rapid development of automation solutions and a three times faster time-to-value
Automation Anywhere, a leader in AI-powered automation, announced its new AI + Automation Enterprise System that combines AI with automation to deliver exponential results. The company’s new offering, unveiled at Imagine 2024 , is powered by its second-generation GenAI process models to accelerate the discovery, development and deployment of AI process automation. The company also launched new AI agents that can manage complex cognitive tasks and automate more than ever before across all of an organization’s systems. These solutions help organizations dramatically increase efficiency by reducing process tasks that once took hours to minutes, enabling 3x time to value and up to 10x business impact in customer service, finance, IT and HR.
“Every company faces the same inescapable growth and productivity mandate to work smarter, not harder – to be more productive, more efficient and more innovative,” says Mihir Shukla , CEO and co-founder of Automation Anywhere. “Automation is the foundation that has taken us a step further. But AI agent-powered automation is the breakthrough that will take us beyond that – to automate the seemingly impossible, create a new operating model for businesses and drive business transformation with amazing results.”
From simple tasks to fast cognitive workflows with enterprise AI agents
A groundbreaking new feature is the ability to create your own AI agents with the new AI Agent Studio. AI agents take automation to the next level by learning from enterprise data, making informed decisions, and acting responsibly in any enterprise system, speeding up processes by up to 90 percent. AI Agent Studio features low-code tools that enable developers of all skill levels to quickly create specialized AI agents for their specific use cases—without the need for a data scientist. These AI agents combine AI and action to handle more complex cognitive tasks, such as detecting and automatically replacing a product in the event of an inventory shortage. They are adaptable, can learn from complex enterprise data, and are able to act quickly to achieve a quick solution and higher ROI.
Enterprise AI Agent Highlights:
- The new AI Agent Studio is generally available, providing developers of all levels with low-code tools to easily create, manage, and control custom AI agents. Developers can start with the base model of their choice, including models from AWS, Google Cloud, and Microsoft Azure OpenAI Service, and more.
- Developers will also be able to augment AI agents with enterprise knowledge through a native Retrieval-Augmented Generation (RAG) service and Amazon Bedrock in October. Finally, developers will have built-in testing capabilities to ensure results are relevant to each use case before putting AI agents into operation.
- Enhanced security and governance equips AI agents with built-in controls to protect and monitor the use of AI and enterprise data to ensure security and compliance. New features include monitoring and auditing of agent and model performance, guardrails for consistent use, and human validation and instant testing to limit hallucinations and maximize the quality of results. Future data masking will automatically strip out sensitive data from all inputs processed by a model.
“AI Agent Studio has streamlined my workflows, increased my productivity, and fundamentally changed the way I work,” says Khaled Mostafa , Intelligent Automation Services Delivery Manager at Magnoos Information Systems. “The ability to seamlessly switch between leading vendor base models within a single platform has significantly improved my prompt engineering process. Governance is critical and the features are incredibly robust, providing detailed insights into all of our interactions with these models, making it much easier for me to incorporate GenAI capabilities into my automations.”
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GenAI Process Models 2.0 – Accelerating the development lifecycle with an AI-powered flywheel
The underlying engines that power the AI + Automation Enterprise System are Automation Anywhere’s unique GenAI process models. GenAI Process Models 2.0 are exclusively designed to enable faster process discovery, 30 percent faster automation creation, 90 percent greater document processing accuracy, and 50 percent greater automation stability – beyond what LLMs alone can deliver. The models are aligned with rich metadata from more than 300 million process automations running on Automation Anywhere’s cloud-native platform.
New automation solutions for developers, built on the new GenAI process models 2.0, include:
- New Automator AI , generally available, a comprehensive set of generative AI products and capabilities to accelerate the automation lifecycle, making it faster and easier to create, deploy, and manage automations. Features include:
– Generative Recorder , enables teams to build more robust UI automations with a generative AI fallback that automatically detects changes in a source application interface and heals itself in real time to continue work, reducing automation downtime by up to 50 percent.
– Enhanced Autopilot , generally available, enables cross-functional teams to move from discovery to automation in record time by quickly transforming process documentation into a process automation blueprint using generative AI. Autopilot now accepts input from any mining tool in BPMN format to create automations.
Document Automation , which has seen tremendous customer response and 9x annual customer growth, uses generative AI extensions for real-time processing of any document type, including unstructured documents, achieving greater than 90 percent accuracy. With new ability to extract data from complex tables, more than 30 languages supported, and expanded model options, organizations can now quickly capture data in workflow from any document type. Setting up and deploying models is faster and easier than ever, with a new test and setup feature and new support for on-site deployment.
“Automation Anywhere continues to seamlessly integrate AI and automation to help clients get more out of their AI investments. These latest enhancements and platform capabilities, including AI agents, make AI-powered automation even more accessible, enabling organizations and employees to leverage AI in new ways and work smarter than ever before,” said Maureen Fleming , program vice president for Intelligent Process Automation Research, IDC.
Accelerate your business productivity with enterprise AI solutions
To help customers realize value quickly, Automation Anywhere also offers a range of AI-powered solutions to accelerate business outcomes across all key business functions.
- Automation Co-Pilot , the enterprise-grade, embedded business assistant for businesses, is now conversational (in preview) thanks to a new integration with Amazon Q Service . Business users can now work faster in any application with chat capabilities to ask knowledge base questions, invoke AI agents, or initiate automations on demand. The enterprise-grade Automation Co-Pilot can be embedded in any application a user works in and deployed in any system within an organization.
- The generally available Service Operations Solution Accelerator helps teams get results faster with pre-built AI agents and predefined workflows for a variety of service operations use cases. Agents can improve every customer interaction by not only quickly executing process automations, but also leveraging AI agents for cognitive tasks like order management, returns processing, and service Q&A. New Solution Accelerators will be launched in the next few quarters for finance, IT, HR, and industries like healthcare, banking, and manufacturing.
Source: PRNewswire