Automation Anywhere and OpenAI Develop AI-Native Agentic Solutions for Enterprises
Automation Anywhere has announced a new generation of AI-native agentic solutions developed in collaboration with OpenAI, according to a press release. The offering integrates Automation Anywhere’s Process Reasoning Engine (PRE) with OpenAI’s reasoning models to create a complete reasoning-to-action loop for enterprise automation.
The Process Reasoning Engine determines the next enterprise action and securely orchestrates work across systems, while OpenAI’s models handle reasoning and interpretation. This combination allows enterprises to automate workflows with adaptive, context-aware agents that can reason and act autonomously within governed environments.
The new agentic solutions are built to accelerate deployment, offering pre-built, contextual capabilities that can be implemented in weeks. They target functions across finance, HR, IT, and customer service, enabling production-ready automation without requiring code.
Automation Anywhere stated that the architecture blends agentic reasoning, deterministic execution, and human oversight in a single flow, aiming to balance autonomy with control for reliable enterprise outcomes.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Enterprise AI Brief or Daily AI Brief.
Also, consider following us on social media:
More from Enterprise
Oct 5 GDRTA Selects ConnXAI Maestro for Rider Communications Oct 5 Coco Robotics and Deliveroo Plan UK Robot Delivery Rollout Oct 5 Expand Energy Selects Thoughtworks for Companywide AI Program Oct 5 Cognizant Launches AI Services Unit for Emerging Enterprises Oct 5 Quantinuum and UWA Partner on Quantum Computing AccessEnterprise AI Brief
Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
jaam automation Launches M. for Agentic Work Management
Autodesk Previews Agentic AI Tools for Its Industry Clouds
Forge Commits $30 Million to Deploy Private AI Systems With webAI
Bank Marketers Use Generative AI but Rarely Deploy AI Agents
Alteryx Adds Governed AI Agent and Analytics Tools
Daily AI Brief: the AI news that matters, in your inbox.