Expand automation coverage
Automate UI-based work across systems and portals where APIs are unavailable, unstable, or impractical.
Reduce breakage and rework
Adapt to layout changes, missing elements, and UI variations at runtime to reduce failures and maintenance.
Resilient end to end workflows
Handle UI exceptions in real time to reduce manual intervention and improve operational resilience.
Accelerate time to value
Automate complex browser-based work faster without redesigning systems or waiting for new APIs.
Start with an objective, then plan and execute the browser actions needed to complete it.
Interpret the current UI, make runtime decisions, and respond when screens or conditions change.
Combine adaptive UI Agents with deterministic automation to optimize reliability, speed, and cost.
Coordinate UI Agents with APIs, automations, AI agents, and human steps across end-to-end workflows.
Capture actions, decisions, outputs, and exceptions to support monitoring, troubleshooting, and audit.
Submit forms, retrieve statuses, and process requests across changing partner, payer, supplier, or government portals.
Verify credentials, update provider records, and confirm effective dates across complex third-party portals.
Navigate websites and extract current pricing, product, and competitor information for faster analysis.
Execute evolving browser test cases, validate results, and escalate defects with less manual testing.
Compare and update records across disconnected systems and portals, including applications without APIs.
Navigate webpages, identify changes, and capture content for compliance, review, or ongoing monitoring.
UI Agents are AI-powered automation agents that perform UI automation across browser-based interfaces. They receive a goal, determine the actions needed, navigate webpages, enter and extract information, validate results, and adapt when interface conditions change.
Traditional UI automation follows predefined steps and selectors. Modern UI automation combines proven UI automation techniques with AI-powered planning and runtime decision-making, enabling UI agents to respond to changing layouts, missing elements, and unexpected conditions.
UI Agents follow an observe, plan, act, and validate cycle. The agent evaluates the current browser state, determines the next action, executes it, and confirms the result. This cycle continues until the goal is completed or an exception requires review.
UI Agents are best suited for dynamic interfaces, frequently changing rules, large numbers of websites, and processes where APIs are unavailable or impractical. Traditional RPA remains a strong choice for stable, predictable, high-volume work where speed and fixed execution paths matter most. The two can also work together within the same process.
Goal-based agents reason across a broader business objective and select the tools needed to achieve it. They can invoke a UI Agent to perform and validate browser interactions, then use the results to determine the next step.
Yes. UI Agents interact directly with browser interfaces, allowing them to complete work in legacy systems, third-party portals, and other applications without accessible APIs. When reliable APIs are available, they can be combined with UI Agents and deterministic automations in the same workflow.
UI Agents run within managed, orchestrated workflows. Execution details, actions, outputs, and exceptions are captured to support monitoring, troubleshooting, governance, and audit requirements.
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