Rethinking enterprise testing with AI-powered adaptability

PwC’s new AI-powered innovation is helping redefine enterprise testing at scale

PwC’s latest solution, built on a Computer Use Agent (CUA) model, sets a new standard for enterprise testing—helping transform fragile test automation into adaptive, scalable execution.

ERP, CRM, and other internal applications are evolving at a pace traditional testing models weren’t designed to support. Frequent UI and workflow updates can make automation expensive to maintain and difficult to scale. QA teams remain dependent on script-heavy frameworks and specialized skills, creating regression bottlenecks and limiting coverage just when release speed matters most. As applications change, automation breaks—and release confidence erodes. 

What’s needed isn’t more scripts. It’s a different approach.

PwC’s AI-powered testing innovation reframes automation around adaptability. Instead of relying on brittle, code-intensive test scripts, it enables business-readable test scenarios that are interpreted against the live application interface. Testing executes through the UI like a real user, adjusting in real time as conditions change and automatically generating execution evidence. The result is lower maintenance overhead, improved reliability, and a more scalable path to enterprise testing. 

This is not traditional Robotic Process Automation (RPA) applied to testing. Conventional RPA is designed to automate predefined actions in relatively stable environments, often requiring rigid scripts, selectors, and ongoing rework as applications change. PwC’s approach uses an agentic Computer Use model to interpret the live interface in real time, execute testing based on business intent, and adapt to dynamic workflows, screen changes, and unexpected conditions. That shifts testing from rule-based replay to intelligent, UI-driven execution.

What this delivers for clients

Speed at scale 
Plain-language business scenarios become executed UI tests in minutes—accelerating time-to-test and enabling continuous regression without expanding teams. Fast re-runs without repeated LLM processing further reduce cycle time and execution cost.

Democratization of testing.
By expressing tests in business-readable language, organizations can bring process owners, functional SMEs, and QA teams into the same testing model—helping reduce translation loss between business requirements and technical automation

Automation that adapts to change 
AI-driven UI interpretation minimizes breakage from routine updates and evolves with frequent application releases, protecting prior automation investments and reducing ongoing maintenance effort.

Enterprise-wide consistency 
A single, scalable framework works across applications, environments, and teams—reducing fragmented tooling and enabling standardized testing across the organization.

Built-in compliance and release confidence 
Auto-generated execution evidence aligned to SOX and control requirements strengthens audit readiness and can give leaders greater confidence in every deployment decision.

As enterprise applications continue to evolve, testing can no longer be a fragile, maintenance-heavy function operating in the background. It should become a democratized, adaptive capability that can scale with the business. PwC’s innovation helps organizations move from script maintenance to confident, scalable release readiness.