Building intent-driven UI testing with Amazon Nova Act

To scale intent-driven UI testing across its product teams, Epsilon , a data, technology, and marketing-services company and part of Publicis Groupe , turned to Amazon Nova Act . With hundreds of millions of consumer profiles and thousands of brand relationships, Epsilon needed UI testing that could keep pace with rapid application changes. The solution could not create maintenance overhead for every product team.

Within Epsilon, the Agentic Platform team (50 engineers) builds shared infrastructure so other product teams can build, deploy, govern, and run AI agents safely. With this shared platform, teams get a skills-based agent builder. They also get federated identity and pre-flight authorization, Model Context Protocol (MCP) integration, and cross-account provisioning. When a product team wants to adopt AI tooling, they get capabilities without additional configuration and without re-solving identity, security, browser infrastructure, or model integration on their own.

One of those managed capabilities is UI testing . With Amazon Nova Act and Amazon Bedrock AgentCore Browser (a capability of Amazon Bedrock AgentCore), Epsilon’s platform team could deliver resilient, intent-driven testing as a service to teams on the platform.

In this post, we walk through Epsilon’s architecture for delivering UI testing as a managed platform service, show the core Nova Act and Amazon Bedrock AgentCore Browser Tool integration code, highlight a concrete 18-step test workflow, and share best practices and measured results.

Epsilon evaluated options against two requirements: natural-language test authoring (to complement selector-based Playwright tests) and managed browser infrastructure (to fit their multi-tenant platform model). With Amazon Nova Act combined with Amazon Bedrock AgentCore Browser Tool, Epsilon could address both.

Epsilon chose Amazon Bedrock AgentCore Browser Tool specifically because it eliminates the operational burden of managing browser binaries, display servers, and session lifecycle. The Agentic Platform team had no interest in owning that infrastructure.

Epsilon’s solution has three main components: a platform API for creating workflows, a background task runner for executing them, and the Nova Act and Amazon Bedrock AgentCore Browser Tool integration that drives the browser.

To illustrate intent-based testing, here is a representative workflow from Epsilon’s platform. It exercises login, form entry, conditional handling, scrolling, and verification. The following steps highlight the differentiating patterns of Nova Act:

Epsilon’s existing UI testing practice was not broken. The team maintained a Playwright-based regression suite that validated functionality across their web applications, and it worked well. Playwright remains their regression backbone today.

The goal: layer intent-based testing on top of the existing Playwright regression suite. Deliver it as a multi-tenant platform service so that each Epsilon product team could consume through the same API surface they used for every other agent capability.

Onboarded teams consume UI testing the same way they consume any other platform agent. No additional infrastructure to manage. The onboarding process is straightforward. The platform team provisions a cross-account IAM role for the new team, registers their target application URLs, and grants access to the ui-test-agent through the existing platform API. From that point, teams create workflows, trigger executions, and retrieve results through the same interface they already use for other platform capabilities.