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Automation Anywhere Unveils New AI + Automation Enterprise System Empowering Companies to Achieve 10x Business Impact with AI Agents and Transforming Mission-Critical Workflows

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2nd Generation GenAI Process Models and New AI Studio Enable Democratized AI Agent Creation, Rapid Automation Development and 3x Faster Time to Value

AUSTIN, Texas, June 11, 2024 /PRNewswire/ — IMAGINE 2024 — Automation Anywhere, a leader in AI-powered automation, announced its new AI + Automation Enterprise System that puts AI to work with automation to drive exponential outcomes. Unveiled during Imagine 2024, the company’s new offering is infused with its second-generation GenAI Process Models to speed up discovery, development and deployment of AI process automations. The company also launched new AI Agents to manage complex cognitive tasks and automate more than ever before possible across every system in an enterprise. These solutions will help organizations achieve dramatic efficiency improvements, driving process tasks that formerly took hours down to minutes, and delivering 3x time to value and up to 10x business impact across business workflows that include customer service operations, finance, IT and HR.

“Every enterprise today is facing the same inescapable growth and productivity mandate to work smarter, not harder — to be more productive, more efficient, and more innovative,” said Mihir Shukla, CEO and Co-Founder, Automation Anywhere. “Automation is the foundation that’s gotten us partway there. But AI Agent-powered automation is the breakthrough that will take us beyond — to automate the seemingly impossible, create a new operating model for business, and drive enterprise transformation with stunning results.”

From Basic Tasks to Rapid Cognitive Workflows with Enterprise AI Agents

A breakthrough new feature is the ability to build custom AI Agents with the new AI Agent Studio. AI Agents take automation to the next level with the ability to learn from enterprise data, make informed decisions, and take action responsibly across any enterprise system, speeding processes by up to 90 percent. AI Agent Studio features low-code tools, making it easy for developers of all skill levels to quickly create specialized AI Agents to help with their specific use cases – no data scientist required. These AI Agents combine AI and action to tackle more complex cognitive work, like identifying and automatically replacing a product in the case of a stock shortage. They are adaptive, capable of learning from complex enterprise data, and able to take swift action for quick resolution and higher ROI.

Enterprise AI Agent Highlights:

New AI Agent Studio, generally available, provides developers of all levels with low-code tools to easily build, manage, and govern custom AI Agents. Developers can start with the foundational model of choice, including models from AWS, Google Cloud, and Microsoft Azure OpenAI Service and more.Developers also will 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 prompt testing to ensure outputs are relevant for any use case before putting AI Agents into action.Enhanced Security & Governance equips AI Agents with built-in controls for the protection and monitoring of how AI and company data is being used to ensure security and compliance. New functionality includes monitoring and audit of agent and model performance, guardrails for consistent use, and human-validation and prompt testing to limit hallucinations and maximize quality of outputs. Future Data Masking will automatically redact sensitive data from any input getting processed by a model.

“AI Agent Studio has truly streamlined my workflow, boosted my productivity, and has been a game-changer,” said Khaled Mostafa, Intelligent Automation Services Delivery Manager, Magnoos Information Systems. “The ability to seamlessly switch between foundational models from leading vendors within a single platform has significantly enhanced my prompt engineering process. Governance is critical and the features are incredibly robust, offering detailed insights into all our interactions with these models which makes me much more comfortable including GenAI capabilities in my automations.”

GenAI Process Models 2.0 – Speed 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. The GenAI Process Models 2.0 are exclusively designed to drive faster process discovery, 30 percent faster automation creation, 90 percent accuracy with document processing, and 50 percent more automation resiliency – above and beyond what LLMs alone can deliver. The models are tuned with rich metadata from more than 300 million process automations running on Automation Anywhere’s cloud-native platform.

A new set of developer automation solutions 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 build, deploy and manage automations. Features include:
– Generative Recorder, enabling teams to build more resilient UI automations with a generative AI fallback that automatically detects changes in a source application interface and self-heals in real-time to keep work moving, reducing automation downtime by up to 50 percent.
– Enhanced Autopilot, generally available, enables cross-functional teams to go from discovery to automation in record time by quickly converting process documentation into draft process automation using generative AI. Autopilot now allows for inputs from any mining tool in BPMN format to build automations.

Document Automation, which has seen tremendous customer response and 9x customer growth year on year, leverages generative AI enhancements for real-time processing of any document type, including unstructured documents and achieves more than 90 percent accuracy. Companies now can rapidly capture data in the flow of work from any document type with the new ability to extract data from complex tables, more than 30 supported languages, and expanded model options. Model setup and deployment is faster and easier than ever with a new testing and setup experience and new support for on-prem deployment.

“Automation Anywhere continues to seamlessly integrate AI and automation to help customers get more out of their AI investments. These latest enhancements and platform capabilities, including AI Agents, make AI-powered automation even more accessible, empowering organizations and employees to leverage AI in new ways, helping them work smarter than ever before,” said Maureen Fleming, Program Vice President of Intelligent Process Automation Research, IDC.

Accelerate Business Productivity with AI Solutions for Business

To help customers to achieve value quickly, Automation Anywhere is also delivering a suite of AI-powered solutions to help accelerate business outcomes across all key business functions.

Automation Co-Pilot, the embed-anywhere enterprise assistant for organizations is now conversational (in preview status) thanks to a new integration with Amazon Q Service. It’s now faster for business users to get work done across any application with chat capabilities for on-demand assistance to ask questions of knowledgebases, call on AI Agents, or initiate automations. The enterprise-ready Automation Co-Pilot can be embedded in any application a user works in and action across any system in an organization.Service Operations Solution Accelerator, generally available, helps teams get to business impact faster with pre-packaged AI Agents and pre-defined workflows for a variety of service operations use cases. Employees can improve every customer interaction with the ability to not only quickly execute process automations, but now can call on AI Agents to complete cognitive tasks like order management, returns processing, and service Q&A. Over the next few quarters, new Solution Accelerators will be rolled out for finance, IT, HR, and industries including Healthcare, Banking, and Manufacturing.

About Automation Anywhere  

Automation Anywhere is a leader in AI-powered process automation that puts AI to work across organizations. The company’s Automation Success Platform is powered with specialized AI, generative AI and offers process discovery, RPA, end-to-end process orchestration, document processing, and analytics, with a security and governance-first approach. Automation Anywhere empowers organizations worldwide to unleash productivity gains, drive innovation, improve customer service and accelerate business growth. The company is guided by its vision to fuel the future of work by unleashing human potential through AI-powered automation. Learn more at www.automationanywhere.com.  

Engage with Automation Anywhere:  

•  Webinars  

•  LinkedIn  

•  Threads  

•  Facebook  

•  Instagram  

Automation Anywhere is a registered trademark/service mark of Automation Anywhere, Inc. in the United States and other countries. All trademarks referenced are the property of their respective owners.  

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SOURCE Automation Anywhere

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JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP, on the Model You Choose

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52 minutes ago

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July 24, 2026

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A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, with operational data staying inside their own network

LONDON, July 24, 2026 /PRNewswire/ — JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.

Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.

Full details on how JAX and JAMS MCP work, including the control model behind every action, are available at jamsscheduler.com/product/ai.

JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.

JAMS MCP is a connector, built on the open Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.

Both capabilities run inside the customer’s own network and act as the signed-in user, with that user’s exact JAMS permissions. There is no elevated AI account: whatever a user cannot do in the JAMS interface, JAX and JAMS MCP cannot do on that user’s behalf. Every JAX and MCP operation is recorded in its own dedicated log, and changes made through the JAMS API land in the JAMS audit trail like any other change. Customers choose their own AI model, whether a commercial provider such as OpenAI or Anthropic or a model running entirely on their own hardware, and JAMS never trains on customer data. In the current release, neither feature edits or deletes a job, folder, schedule, or agent definition. For teams that must keep operational data within a defined boundary, JAX runs on a local model entirely inside the customer’s own network, so nothing leaves at all.

“Adopting AI usually means giving something up, most often visibility into where your data goes,” said Pete Hegland, Chief Executive Officer of JAMS Software. “We built JAX and JAMS MCP so that trade does not have to happen. Every action runs as the signed-in user, every change waits for approval, and the model itself can run entirely inside your own network.”

“IT teams across the United Kingdom and EMEA tell us the same thing: they want the benefit of AI without losing sight of where their data goes,” said Greg McLaughlin, Account Executive for EMEA at JAMS Software. “JAX and JAMS MCP let them keep operational data inside their own network and still get answers in plain language. That combination is what makes this practical for the teams I work with.”

JAX and JAMS MCP are available now to all JAMS Web customers across the United Kingdom and EMEA, with no separate licence, SKU, or additional cost. AI-assisted creation of new jobs and workflows from a plain-language description is on the roadmap for a future release, gated by the same approvals and permissions as every other action.

Learn how JAX and JAMS MCP work at https://jamsscheduler.com/product/ai.

Fast facts

JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.Both act as the signed-in user, with that user’s exact JAMS permissions, and there is no elevated AI account.Customers choose the AI model, including a local model that runs entirely inside their own network.JAMS never trains on customer data.Both are available now at no additional cost as part of JAMS Web.

About JAMS Software

Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.

Media Contact
Bobby Schmidt, Vice President of Marketing
press@jamssoftware.com
800.261.4267

 

 

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Video: CNPC offers green chemical answer

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July 24, 2026

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BEIJING, July 24, 2026 /PRNewswire/ — A news report from chinadaily.com.cn:

Located on the edge of the Taklamakan Desert in Northwest China’s Xinjiang Uygur autonomous region, the Tarim 1.2 MTA Phase II Ethylene Project and its supporting green and low-carbon demonstration facility of PetroChina Dushanzi Petrochemical Company, a subsidiary of China National Petroleum Corporation, are offering a new example of China’s low-carbon industrial transformation.

Watch the video to discover how CNPC is exploring a cleaner and more circular future for the industry.

View original content to download multimedia:https://www.prnewswire.com/apac/news-releases/video-cnpc-offers-green-chemical-answer-302834036.html

SOURCE chinadaily.com.cn

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Shanghai Electric showcases embodied intelligence robot matrix and AI-native smart factory solutions at WAIC 2026

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52 minutes ago

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July 24, 2026

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Featuring humanoid robots with 41 degrees of freedom, pipe‑inspection robots with ±1mm positioning accuracy, and 51 industrial‑grade AI agents

SHANGHAI, July 24, 2026 /PRNewswire/ — Operations in high-end equipment manufacturing often involve confined spaces, complex objects, and fine manipulation tasks that demand sustained and stable precision. At the recent 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (WAIC 2026), Shanghai Electric (SEHK: 02727, SSE: 601727) showcased its comprehensive portfolio of embodied intelligence solutions tailored to a range of industrial scenarios.

Themed “AI for All: Smart Squad, Shining Without Limits,” Shanghai Electric highlighted its capabilities across embodied AI robots, robot core components, and AI-native smart factory solutions, demonstrating end-to-end capabilities spanning complete robot systems, critical parts, industrial software, and smart factory architecture.

“The true value of embodied intelligence lies in understanding real industrial tasks: combining the strength, precision, and stability of machines with human experience and judgment to drive a genuine paradigm of ‘machine-assisted, human-machine collaboration,'” said Wang Chunlei, deputy general manager of the Robotics Business Unit at Shanghai Electric Automation Group.

Shanghai Electric’s robotics portfolio covers five key industrial scenarios: connector insertion, electrical operations, flexible sorting, intelligent assembly, and pipe processing. Highlights include:

“SUYUAN” bipedal humanoid robot: With 41 degrees of freedom for enhanced mobility, it is equipped with a multimodal visual sensing system on the head and torso, along with a dual-battery hot-swap system. It is well-suited for inspection, material handling, and assembly tasks.”TUOYUAN” industrial wheeled humanoid robot: Powered by an embodied intelligence foundation model and force-position hybrid control, it is capable of multi-spec connector insertion, material sorting, and loading/unloading of automotive sheet metal parts.”Mermaid” bionic wheeled humanoid robot: Capable of autonomously identifying buttons, knobs, and air switches, it generates real-time operation paths.Autonomous pipe inner-wall chamfering robot: Designed for confined spaces, it can position and process thousands of hole edges with accuracy within 1 millimeter while transmitting data in real time.

Shanghai Electric also showcased its portfolio of core components ranging from power-output to end effectors. Among them, the planetary roller screw offers more than three times the load capacity of traditional ball screws, while the DexHand dexterous hand is designed to meet diverse gripping and manipulation requirements.

Shanghai Electric launched 51 AI models and agents under its “StarCloud Intelligent Manufacturing” series across three domains: R&D and design, production and manufacturing, and operations and maintenance—covering critical equipment processes such as process optimization and wind power facility maintenance.

These industrial agents are embedded in robotic decision-making systems and the operational logic of AI-native smart factories, transforming industrial expertise into digitized, reusable capabilities. They support production-line scheduling, quality inspection, and predictive maintenance, driving the evolution of manufacturing systems from experience-driven to data-driven operations.

Shanghai Electric also released the “AI-Native Smart Factory Technology White Paper,” proposing an active evolution architecture that enables real‑time, closed‑loop optimization of production data, giving the factory self‑perception, self‑decision, and self‑execution capabilities. Built on First Principles, the AI‑native smart factory vertically integrates process flows, industrial software, agents, and smart equipment to dismantle traditional hierarchies while horizontally bridging data silos. The architecture features three core layers: the AI factory brain as the “control center,” industrial agents and embodied robots as the “execution network,” and the physical twin as the “digital mirror.”

Leveraging its deep industrial expertise and comprehensive solution capabilities, Shanghai Electric will continue to drive the implementation of AI in industrial settings, tackle technical challenges facing embodied intelligence in complex scenarios, accelerate the large‑scale deployment of AI‑native smart factories, and deliver replicable solutions across diverse manufacturing environments.

SOURCE Shanghai Electric

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