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QAI · AI-Powered Quality Engineering

QAI plans, writes and runs UAT, functional, end-to-end, smoke and regression tests on Playwright — and keeps the evidence — across Oracle CX Sales, Oracle CPQ and other web applications.

  • Delivered for Oracle CX Sales and Oracle CPQ teams

Proven results

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

Read the case study

Test types

One platform for business users and QA teams. Every test is written as a Gherkin scenario and an executable Playwright test.

  • UAT

    Business users describe scenarios in plain language and run acceptance tests without scripting.

  • Functional & end-to-end

    Full user journeys through your application, planned from requirements and the screens QAI explored.

  • Smoke & sanity

    Fast checks that a build is fit to test before the full suite runs.

  • Regression

    Suites replayed against an approved baseline, with every difference reported.

  • Migration parity

    The same suite run on a legacy and a rebuilt product, compared part by part.

  • API compatibility

    Checks that an API change stays backward-compatible with its consumers.

  • Cross-browser (Roadmap)

    The same tests across Chromium, Firefox and WebKit.

  • API functional testing (Roadmap)

    Executable tests for REST, GraphQL and SOAP endpoints.

Product walkthrough

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

QAI · UAT cycle

Oracle CX Sales · REQ-OPP-118

Illustrative demo
Sample data · not a client result

QAI turns a plain-language user story into a Gherkin scenario and an executable test, creates happy, edge and negative test data, runs it end to end in Oracle CX Sales with Playwright and links every result to its evidence.

Illustrative QAI UAT walkthrough for Oracle CX Sales. User story REQ-OPP-118: “As a sales rep, I can create an opportunity with a revenue line, so the forecast reflects the deal.” Acceptance criteria: The opportunity is created on the account; Amount rolls up from quantity × price; A negative quantity is rejected. QAI extracts the actor (Sales rep), object (Opportunity) and child object (Revenue line), then writes 2 Gherkin scenarios with 6 steps in opportunity_revenue_line.feature (Create an opportunity with a product revenue line; Negative quantity is rejected) and turns them into an executable test. The test data factory creates 6 synthetic opportunity records on the Demo - Northwind account (2 happy · 2 edge · 2 negative); Oracle must reject the negative records, and any that saves is flagged as a defect. Playwright runs the test end to end in the Oracle CX Sales Redwood UI and passes all 8 steps in 5.6 seconds (illustrative timings): Sign in as sales rep; Open account “Demo - Northwind”; Create opportunity; Add revenue line 20 × 150.00; Expect amount = 3,000.00; Enter quantity −5; Expect the line is rejected; Clean up test records. The result links the requirement REQ-OPP-118 (opportunity with a revenue line), test cases TC-1181 · TC-1182 (happy path · negative), run RUN-0457 (8 / 8 steps passed), evidence 8 screenshots · video (ready for sign-off).

  1. Describe

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

  2. Generate

    QAI writes a Gherkin scenario, then turns it into an executable test.

  3. Provision data

    The test data factory creates happy, edge and negative records.

  4. Execute

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

  5. Trace

    Results link the requirement, test cases, run and evidence.

How it works

  1. 01 QAI Explorer

    Explore

    Walks your application in a real browser, signed-in areas included, and learns its screens, forms and fields.

  2. 02 QAI Planner

    Plan

    Reads requirements, Jira stories and documents, and plans suites and cases, each tagged with its requirement.

  3. 03 QAI Author

    Write

    Writes each case as a Gherkin scenario and an executable Playwright test, with happy, edge and negative data.

  4. 04 You

    Approve

    A person approves every plan and every generated test, and can edit or regenerate it, before anything runs.

  5. 05 Playwright

    Run

    Runs every step end to end, with a live view, a screenshot per step and a video of the session.

  6. 06 QAI Healer

    Heal & trace

    Repairs a broken step only if the re-run passes, and links every result to its requirement and evidence.

Capabilities

AI-powered quality engineering for Oracle CX Sales, Oracle CPQ and other web applications — QAI writes UAT, functional, end-to-end and regression tests, runs them on Playwright and keeps the evidence.

  • 01 Automated Test Generation

    Generate UAT, functional and end-to-end tests from requirements, user stories, business documents or plain language — as Gherkin scenarios and executable Playwright tests.

  • 02 Intelligent Test Data Factory

    Generate realistic, reusable test data across happy-path, edge and negative cases, with rules that keep test records safe on shared environments.

  • 03 Requirement Traceability

    Link every requirement to its test cases, runs and evidence, and see which requirements have no test yet.

  • 04 End-to-End Execution

    Run tests end to end on Playwright in Oracle CX Sales, Oracle CPQ and other web applications, with a screenshot of every step and a video of every run.

  • 05 Oracle CPQ Product Learning

    Learn a configurable CPQ product from its own screens — every attribute, option, nested option and rule — into a product map a person approves before tests are built from it.

  • 06 Self-Healing Tests

    When a screen changes and a step breaks, QAI proposes a fix and keeps it only after the test passes again.

  • 07 Baseline & Parity Regression

    Replay suites against an approved baseline, or on a legacy and a rebuilt product side by side, and report every difference.

  • 08 Signed Evidence & Audit

    Every run produces a verifiable evidence package, backed by a tamper-evident audit trail.

Use cases

  • UAT for an Oracle CX Sales release

    Business users need to sign off a release, but every UAT cycle waits on QA to script the tests.

    1. Describe
    2. Generate
    3. Provision data
    4. Run
    5. Report

    Business users run acceptance tests from their own requirements, and negative tests flag a defect when Oracle accepts a bad value.

  • Regression-check an Oracle CPQ migration

    A configurable product is being rebuilt, and every option, rule and price must still come out the same.

    1. Learn both products
    2. Build the suite
    3. Replay old and new
    4. Compare

    The same suite runs on the legacy and the rebuilt product, and every difference in parts and totals is reported.

  • Functional coverage for a web application

    Requirements live in Jira and documents, and nobody knows which ones have a test.

    1. Explore
    2. Plan
    3. Write
    4. Run
    5. Trace

    Smoke and end-to-end suites run with self-healing, and uncovered requirements export to CSV.

Bring one user story or requirement from Oracle CX Sales, Oracle CPQ or another web application. We'll turn it into an executable test in front of you.

AI agents

Each agent does one job. A person approves every plan and every generated test before anything runs.

  • QAI Explorer

    Maps your application

    Learns your application's screens, forms and fields. For Oracle CPQ it learns every attribute, option and rule of a configurable product.

  • QAI Planner

    Plans the coverage

    Plans suites and test cases from your requirements, user stories and documents, each tagged with the requirement it covers.

  • QAI Author

    Writes the tests

    Turns each case into a Gherkin scenario and an executable Playwright test, with happy-path, edge and negative test data.

  • QAI Healer

    Keeps tests green

    When a screen changes and a step breaks, proposes a fix and keeps it only after the test passes again.

Security & governance

  • A person approves every test

    Plans and generated tests wait at a review gate. Failures QAI can't repair go to a human triage queue.

  • Your own private model

    Assign a model to each AI role — cloud or your own private endpoint — and restrict high-security workspaces to private models only.

  • Evidence you can verify

    Every run produces a signed evidence package, backed by a hash-chained, tamper-evident audit trail.

  • Credentials kept out of tests

    Credentials are injected at run time from a vault and redacted from evidence; single sign-on and role-based access control who does what.

Integrations

Applications under test
Oracle CX Sales Oracle CPQ Any web application
Execution
Playwright Chromium
Requirements & source
Jira PDF Word Excel GitHub GitLab Bitbucket
AI models — cloud or private
OpenAI Claude Gemini Azure AI Amazon Bedrock Vertex AI Your private model
Platform
Docker Kubernetes PostgreSQL Single sign-on (OIDC)

On the roadmap

Part of the QAI architecture and in development.

  • Oracle Fusion Suite Coverage (Roadmap)

    End-to-end execution across further Oracle Fusion modules beyond CX Sales, such as ERP, HCM and SCM.

  • Defect & Release Traceability (Roadmap)

    Link test results to defects and releases in your issue tracker and ALM tools.

  • Scheduled Regression (Roadmap)

    Run regression suites on a schedule or from your CI/CD pipeline.

  • Compliance-Grade Test Data (Roadmap)

    Masked test data derived from production patterns, aligned to your compliance policies.

Get started with QAI

Book a demo and we'll take one of your requirements from plain language to an executed test, with the evidence your release board needs.

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