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AI-Powered Quality Engineering

QAI turns business scenarios into executable test cases using natural language, then runs them end to end across Oracle Fusion and other enterprise applications.

  • Test Faster

Product walkthrough

A simplified run-through of the QAI workflow, step by step.

QAI · UAT cycle

Oracle CX Sales & CPQ · REQ-CPQ-214

Illustrative demo
Sample data · not a client result

QAI turns a plain-language user story into executable Gherkin, provisions compliant synthetic data, runs it end to end with Playwright and keeps every result traceable.

Illustrative QAI UAT walkthrough for Oracle CX Sales and CPQ. User story REQ-CPQ-214: “As a sales rep, I can configure a quote with tiered discounts, so volume pricing applies without manual overrides.” Acceptance criteria: Gold accounts get 12% off at 100+ units; Discounts above 20% route for approval; Net price recalculates when quantity changes. QAI extracts the actor (Sales rep), object (CPQ quote), rule (Tiered discount) and generates 2 Gherkin scenarios with 8 steps in tiered_discounts.feature: Gold tier volume discount; Discount above 20% needs approval. The Intelligent Test Data Factory provisions 6 synthetic rows with masked contacts across Gold, Silver, Bronze, Platinum accounts. A Playwright run against Oracle CX Sales · UAT passes all 8 steps in 5.5 seconds (illustrative timings). Traceability links requirement REQ-CPQ-214 (tiered discounts) to test cases TC-1041 · TC-1042 (8 of 8 steps passed) to defect DEF-0387 (retest passed · closed) to release R26.3 (ready for sign-off).

  1. Describe

    A user story and its acceptance criteria, in plain language.

  2. Generate

    QAI writes executable Gherkin scenarios from the story.

  3. Provision data

    The test data factory creates realistic, compliant, reusable rows.

  4. Execute

    Playwright runs every step end to end in Oracle CX Sales & CPQ.

  5. Trace

    Results link requirement, test cases, defect and release.

The problem

UAT that waits on QA

Manual UAT execution slows release cycles and increases testing effort, while business users depend heavily on QA teams to create and run tests across Oracle Fusion and other enterprise applications.

Our approach

UAT that business users can run themselves

Business users write scenarios in the language they already use and run UAT without waiting on QA to script it. QAI can run on a private LLM, so requirements and test data stay inside your boundary.

Capabilities

  • NLP-powered UAT for Oracle Fusion apps and automated execution
  • Advanced synthetic data generation coupled with automated regression testing
  • Automated Test Generation

    Create UAT scenarios and test cases directly from requirements, user stories and an NLP interface.

  • Intelligent Test Data Factory

    Generate realistic, compliant, and reusable test data automatically.

  • End-to-End Traceability

    Maintain alignment between requirements, test cases, defects, and releases.

  • End-to-End Execution across Oracle Fusion

    Automated end-to-end execution across Oracle Fusion Suite & other enterprise applications.

Outcomes

reduction in test design effort
70%
faster UAT execution cycles
50%
increase in automated test coverage
3×

Bring a user story from Oracle Fusion or another enterprise application. We'll show you QAI turning it into executable tests with compliant synthetic data.

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