AI agents handle thinking tasks like deciding on the best replacement product for a stock outage or routing customer service tickets to the right place.
Built on the right foundational model for your use case, grounded in your company data, AI agents can learn, action, and adjust as needed.
AI agents work together across the most important processes in every department—with your models, your applications, and your environments.
See what goes in and comes out of your AI models so you can be sure everything is in line with privacy, compliance, and responsible AI rules and regulations.
Real-world operations demand AI agents that operate responsibly. Close the trust gap with built-in AI governance and complete traceability of everything your AI does.
Weave AI into workflows to tackle enterprise challenges.
Connect any LLM
Use the AI models you like best. Play safe with pre-approved AI models and secure connectors.
Ground in your data
Hone AI skills to the way your business works by grounding and fine-tuning AI models with your data.
Speed up prototyping
Make it simple for both pro and citizen developers to build and test AI for automations with prompt templates that save time and ensure consistency.
Keep a close eye on your AI
See every prompt and model response for robust governance and deep insights into what happens with your AI when automations run.
See how you can use AI agents just about everywhere.
Request demoCreate AI agents made to match the way your business works. Link any combination of custom prompts to give them the right skills for the right process.
Pick the perfect-fit AI model, whether it's off-the-shelf or custom-built. Hook it up securely to your data and tweak to match your projects. Use our prompt templates or create your own. And easily sprinkle in human checks for good measure.
Protect your data and make sure AI operates responsibly. Easy to use governance, monitoring, and data privacy tools show you exactly what's happening, when, and where.
Make it simple for diverse automation teams to set up AI agents and stay safe and secure. Take your pick of AI model, tune prompts, share templates, and plug AI agents into workflows—with 100% oversight.
Select and connect
Choose an AI model from your approved list and connect it to your data. Test different models to see which is the best fit.
Tune and test
Adjust prompts to meet your exact requirements and test for accuracy.
Templatize
Save prompts as templates for quick access for future workflows.
Plug in to workflows
Drag and drop your optimized AI prompts—AI agents—into automation workflows.
Monitor and audit
Keep tabs on everything for accuracy and to protect sensitive information.
Tackle your most challenging processes with secure, work-ready AI agents. The Agentic Process Automation System is at your service to run the most important processes in your business—across departments, systems, and thousands of steps.
What skills or technical expertise are required to create AI agents with AI Agent Studio?
AI Agent Studio is a low-code workspace for creating AI agents. However, having a good understanding of AI governance and generative AI models, and integrating them into automations is helpful in creating effective AI agents with AI Agent Studio.
For example, AI Agent Studio allows you to connect different generative AI models, so knowing about types of model connections and experience adding models from platforms like AWS is valuable.
What types of tasks or processes can the AI agents created in AI Agent Studio perform?
AI Agent Studio equips automation developers to build powerful AI agents that can automate complicated tasks that would normally require human attention. These agents can get work done and make informed decisions across business systems.
That means AI agents made in AI Agent Studio can do all kinds of different jobs like creating a case in Salesforce, providing a product replacement recommendation, pulling information from documents, checking if workflows follow compliance rules, figuring out credit scores, answering customer questions, managing resources in software projects, and analyzing financial data.
Using AI Agent Studio, you can create reusable skills for AI agents. For example, an AI agent to support customer service teams would have skills to accomplish tasks like categorizing inquiry priority and updating inventory management systems. Putting AI skills together makes it possible for AI agents to think, make decisions, adjust to new situations, and work through tasks without needing humans all the time.
Can AI Agent Studio support custom AI models or integrations with third-party AI platforms?
Yes, AI Agent Studio supports custom AI models and integrations with third-party AI platforms. It allows developers to start with foundational models from major cloud platforms like AWS, Google Cloud, and Microsoft Azure OpenAI Service. Developers can also bring their own AI models to integrate with the platform, making it flexible to match enterprise needs.
What types of data can be processed by AI agents created with AI Agent Studio?
AI agents created with AI Agent Studio can process any data that can be integrated into automated workflows. They are designed to handle both structured and unstructured data, for example, text data from documents, financial records, customer service inquiries, and compliance information.
Does AI Agent Studio allow collaboration between multiple users or teams during the agent development process?
Yes, AI Agent Studio lets different people or teams work together while creating AI agents. It has tools and features that allow multiple users to build, manage, and improve AI agents together, making it easy for everyone to collaborate.
What is the typical development time for creating an AI agent in AI Agent Studio?
Typically, you can make a first version of an AI agent in a matter of days. But it’s important to note that the time it takes to create an AI agent in AI Agent Studio will vary based on how complex the agent is and what the specific needs are for your project. However, because AI Agent Studio has low-code tools and templates, it lets you build AI agents faster than developing on your own.
What real users are saying about Automation Anywhere vs. UiPath.
I’ve used UiPath as a developer. Now, I’m using Automation Anywhere as well. When I compare both, the biggest point is cognitive abilities. The Document Automation is the best in class. You won’t find that even in UiPath.
What real users are saying about Automation Anywhere vs. Microsoft Power Automate.
We also explored Microsoft’s Power Automate. However, it wasn’t as mature or up to an enterprise level at the time. Automation Anywhere had good standards and excellent support, in terms of architecture, design, and user interface, we chose Automation Anywhere. It also has good community support.
What real users are saying about Automation Anywhere vs. Blue Prism.
We had to switch to Automation Anywhere due to the high initial license fee associated with Blue Prism. Automation Anywhere is more cost-effective.
What real users are saying about Automation Anywhere vs. alternative solutions.
Before using Automation Anywhere I checked Blue Prism & Ui Path but I preferred Automation Anywhere because it is best in quality. It also has Document Automation for unstructured data converting in structure.
How AI agents work, where they can help across an organization, and deployment tips to drive impacful business value quickly.
Download ebook nowAccelerate your automation program pipeline, maximize ROI and take control of the end-to-end automation lifecycle with CoE Manager.
Explore CoE ManagerEmpower developers to automate in plain language with generative AI to identify and sequence the necessary tasks and actions, speeding the development process.
Explore Automator AIFor Students & Developers
Start automating instantly with FREE access to full-featured automation with Cloud Community Edition.