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Custom AI-powered QA workflows

Your QA workflow.
Connected. Automated. Yours.

Relystra builds a QA system around the tools your team already uses—so tests, tickets, and reports move together, with review where you need it.

Book a 15-minute callSee an example workflow

Your repository. Your infrastructure.
Your approved AI providers.

Built on 8 years of hands-on QA experience.

checkout-release.ymlExample

From change to evidence.

Your tools. One coordinated workflow.

JiraReady for QA
QA-142Verify the checkout journey
release/checkoutstaging
Playwrightvia GitHub Actions#1842
checkout.spec.tschromium
  • Passed:Add an item to the cart
  • Passed:Complete payment details
  • Display order confirmationFailed
Quality gate · Release heldRequired checkout check failed.
trace.zipcheckout.png2 artifacts
TestRailResults mappedC-28 · original failure retained
SlackEvidence shared#release-qa · run + trace linked
Your rules decide what runs.
Your team keeps control.

Synthetic workflow preview. Configured for each client.

Built around the tools
you already work with.

Explore the connections
TestRailXrayJiraSlackTeamsGitHub ActionsAWSAzure Boards

Your tests run.
Your team still does the handoffs.

Copying results. Updating tickets. Chasing status.
Connect the work between your tools, so your team can focus on what the results mean.

Stop moving results by hand.

Map real execution outcomes to the right cases, builds, and environments.

Stop chasing QA updates.

Return a useful summary to the ticket and the channel your team already checks.

Keep the evidence behind the decision.

Preserve traces and findings. Make uncertain analysis visible, with a clear next step.

See how orchestration works
Execution evidenceSynthetic example

Checkout · staging

Build 8f21c7 QA-142

Failed
Trace Screenshotchromium
Passed: Open checkout 240msPassed: Submit payment 1.2sFailed: Find confirmation 5.0s
expect(orderConfirmation).toBeVisible()Timed out after 5,000ms
Test outcome
FailedOrder confirmation did not appear.
AI analysis
Needs reviewPossible delayed response. Check the trace.
Quality gate
Release heldRequired checkout check failed. Owner review required.
Reporting
RecordedTestRail updated · Slack summary posted.
Next: investigate before releaseEvidence: execution trace + screenshot

Synthetic example, not a customer run. Gate rules are agreed per client. Analysis never changes the original test result.

Orchestration.
The logic between your tools.

Decide what starts, what runs next, where evidence goes, and when to pause or retry. We build those rules around your QA process, with quality gates your team controls.

Checkout workflowSynthetic exampleFull outcome shown
1 An eligible event
JiraQA-184

Checkout total after promo code

Ready for QA
Business intent
One correctly priced order.
Workflow rule
Run the approved checkout suite.
2 Your orchestration rules
Relystra workflowClient-owned
SeleniumCheckout suite · one execution
Failed
Quality gateRequired order-total check failed.
Release held
Original result + screenshot retained
3 Evidence reaches your team
ZephyrRecorded
Failed result recorded

Checkout case · run #4186
Original failure and evidence linked.

Google ChatDelivered
Release held · review required

Run #4186 · order total needs review. Evidence and owner included.

Delivered after 1 retry · no test rerun

Reporting recovered. The failed test and release hold remain unchanged.

Illustrative sequence. No tests or messages are being sent.Triggers, gates, destinations, and recovery are scoped per client.

Start with intent. Run checks against agreed business outcomes.

Keep decisions explicit. Failed or missing evidence cannot silently become a pass.

Recover the right step. Retry a reporting failure without rewriting the test result.

Different stacks.
A workflow designed for each one.

Your process decides the connections. Here are three ways an implementation could come together.

From a ready ticket to a team that knows.

Illustrative workflow · configured for each client
Discuss this workflow
Checkout smokeSynthetic run #4186
Reduced motion
  1. 1

    Ticket ready

    Jira
    QA-184Story
    Checkout total after promo code
    In reviewReady for QA
    Approved acceptance criteria
    Selected suitecheckout.smoke

    The agreed transition starts the workflow.

  2. 2

    Approved tests run

    PlaywrightGitHub Actions
    Run #418638s
    release/2.4
    Sign in Pass
    Apply promoFail
    Place order Pass
    2 passed1 failed

    The selected suite runs against the intended build.

  3. 3

    Results recorded

    TestRail
    Case mapping#4186
    C201Sign inPass
    C202Apply promoFail
    C203Place orderPass
    trace.zip checkout.png

    Outcomes map to the right cases, with evidence.

  4. 4

    Team informed

    Slack
    # release-qa
    QA workflowApp

    Checkout smoke completed.
    2 passed · 1 failed.

    Release held.
    Promo-code total needs review.

    QA-184 · Run #4186

    A useful summary links back to the run and ticket.

Example quality gate: required check failed. Release held.Synthetic illustration. No tests are running.

An eligible Jira transition starts approved tests. Real results reach TestRail, evidence returns to the ticket, and Slack gets the summary.

Your review points: generated test changes and uncertain findings follow your team’s rules. Optional documentation updates are scoped separately.

Your tools.
One connected QA workflow.

We configure or develop the connections your QA process needs, around your projects, fields, permissions, and reporting rules.

TestRail

Publish execution results and link automated tests to your cases.

Configured for your projects, suites, fields, and result statuses.

Discuss this integration

Xray

Connect requirements, test records, and execution evidence in Jira.

Scoped for your Xray edition, test plans, issue types, and mappings.

Discuss this integration

Zephyr

Map automated outcomes and evidence to the agreed test cases and cycles.

Your Zephyr edition, hosting model, API, authentication, projects, and result mappings.

Discuss this integration

Azure Test Plans

Link test cases, runs, and execution evidence in Azure Test Plans.

Plans, suites, case associations, access level, and result mappings. Azure Boards and Pipelines are scoped separately.

Discuss this integration

Jira

Start an agreed workflow from eligible ticket transitions and return QA updates.

Your projects, issue types, fields, event filters, and permitted writes.

Discuss this integration

Asana

Turn an agreed task change into a QA job and keep the task updated.

Your workspace, project, custom fields, status mapping, and permissions.

Discuss this integration

Azure Boards

Read work items, respond to approved state changes, and publish evidence links.

Azure DevOps projects, process templates, identities, and state rules.

Discuss this integration

GitHub Actions

Execute approved suites, collect artifacts, and publish agreed checks.

Repositories, workflow files, runners, secrets, and protected environments.

Discuss this integration

AWS CodePipeline & CodeBuild

Coordinate build and test workflows and collect execution outputs.

Named AWS services, account, region, IAM, network, and artifact storage. Hosting and inference are separate choices.

Discuss this integration

Azure Pipelines

Connect test jobs, pipeline events, artifacts, and agreed checks.

Azure DevOps YAML, service connections, agents, and result formats. Azure Test Plans is separately scoped.

Discuss this integration

Jenkins

Integrate test stages, triggers, and evidence collection into your jobs.

Pipeline definitions, agents, credentials, and reporting conventions.

Discuss this integration

CircleCI

Execute agreed suites and collect test artifacts and outcomes.

Project configuration, contexts, executors, triggers, and retention.

Discuss this integration

GitLab CI/CD

Connect pipeline testing and evidence to merge-request feedback.

Project permissions, runners, tokens, pipeline rules, and review controls.

Discuss this integration

Slack

Share run summaries, failure evidence, and agreed thread updates.

Approved channels, message formats, notification thresholds, and data rules.

Discuss this integration

Microsoft Teams

Deliver concise QA summaries and evidence to the right destination.

Tenant policies, delivery mechanism, permissions, and message format.

Discuss this integration

Google Chat

Send QA summaries, quality-gate status, and evidence links to approved Chat spaces.

Workspace policies, spaces, webhook or Chat app, message format, and notification rules.

Discuss this integration

Notion

Read approved context and prepare or update agreed QA pages.

Authorized pages, databases, templates, fields, and content ownership.

Discuss this integration

Google Docs

Use authorized documents and prepare test plans and QA reports.

Document access, templates, shared-drive constraints, and edit ownership.

Discuss this integration

Playwright

Reuse or extend your suite and collect real execution results and artifacts.

Suite condition, language, environments, test data, browsers, and review process.

Discuss this integration

Cypress

Run your approved Cypress tests as part of the connected workflow.

Suite health, runner configuration, evidence availability, and new coverage.

Discuss this integration

WebdriverIO

Maintain and run the agreed suite and feed outcomes into reporting.

Existing configuration, execution environments, services, and evidence needs.

Discuss this integration

Selenium

Run agreed browser checks and collect results and artifacts for the QA workflow.

Suite language, WebDriver and browser versions, local or Grid execution, environments, and coverage.

Discuss this integration

Appium

Run agreed mobile app checks and bring execution evidence into the QA workflow.

Platforms, drivers, app builds, devices or emulators, permissions, test data, and available artifacts.

Discuss this integration

Integrations are configured or developed for your engagement. Supported actions depend on your tool edition, permissions, and agreed workflow.

Search the full catalog

A working QA system
your team can keep.

The handover matters as much as the build. Your custom implementation goes into your repository, with the access and documentation to operate it.

Your source.

Custom workflows, adapters, tests, prompts, and configuration in client-controlled Git repositories.

Your environment.

Deployment into agreed accounts your team controls, with documented access and operating responsibilities.

Your model choices.

Client-approved AI providers and endpoints, validated for your workflow, quality needs, and data rules.

A usable handover.

Deployment instructions, runbooks, and training. Maintain it in-house or choose optional ongoing care.

Where does your data go?

Client-hosted execution does not automatically keep all information inside your environment. Model calls, telemetry, evidence storage, and reporting destinations are separate data flows that we document and agree with your team.

Private inference can be assessed where needed. Custom deliverable rights are defined in your agreement; third-party software and models retain their own licenses. Ending care does not deliberately disable your delivered system, though operating costs and maintenance remain.

We map it.
Build it. Validate it.
Hand it over.

A scoped implementation, from the first conversation to a system your team can operate.

Start with your workflow

8 years of QA experience.
Built into your workflow.

Relystra brings its founder’s 8 years of hands-on QA experience to risk-based coverage, maintainable tests, accurate evidence mapping, and clear review rules.

  1. 01

    Map the way QA works today.

    Assess

    Identify the manual handoffs, existing tests, access needs, and first useful outcome.

  2. 02

    Agree exactly what gets built.

    Design & quote

    A workflow map, named deliverables, review points, acceptance criteria, and clear costs.

  3. 03

    Test the workflow itself.

    Build & validate

    Connect the agreed tools. Validate real outcomes, mappings, retries, and failure paths.

  4. 04

    Put your team in control.

    Launch & hand over

    Deploy the system and walk through its documentation, operating tasks, and access.

  5. 05

    Choose what comes next.

    Maintain or expand

    Run it in-house, select ongoing care, or scope the next workflow when it makes sense.

Start with one workflow.
Expand on a clear scope.

Your proposal separates implementation, hosting, model usage, third-party subscriptions, and optional care. The scope sets the price and timeline.

Focused workflow

One recurring handoff

A defined trigger, agreed test suite and environment, and named results destinations.

A practical starting point. New coverage and suite repairs are scoped separately.

Scope a first workflow

Connected QA system

Several connected processes

Multiple workflows, tools, environments, and review paths designed to work together.

Complexity depends on mappings, actions, and operating requirements.

Discuss your system

Private & governed

Stronger operating requirements

Scope your deployment, identity, data flows, retention, and model evaluation needs.

Private inference and on-premises arrangements require a feasibility assessment.

Explore your requirements

The initial conversation helps establish fit. Detailed assessment work, deliverables, and any fees are agreed before that work begins.

A few things
you might be wondering.

Have a specific workflow in mind?

Let’s talk it through
What are we buying?

A custom QA workflow implementation around your tools and delivery process. We define the scope, build and validate it, then deliver the agreed source, configuration, and documentation. Ongoing care is optional.

Can you use our existing tests?

We assess existing Playwright, Cypress, WebdriverIO, Selenium, or Appium suites and scope their integration. New coverage, repairs, browser or device requirements, and environment setup are identified separately.

Are all these integrations ready to connect?

The catalog shows implementation options. Connections are configured or developed for your engagement. Supported actions depend on your tool edition, permissions, data mappings, and agreed workflow.

Does everything need manual approval?

No. Approved routine steps can run automatically under agreed rules. Your team defines review points for generated changes, uncertain findings, and higher-impact actions, and retains release authority.

Can we choose the AI model?

We design for supported, client-approved providers and endpoints, then validate the selected models against your workflow. Models differ in capability, cost, and data handling; not every model fits every requirement.

How much does it cost, and how long does it take?

Your proposal is based on the workflows, integrations, test scope, operating requirements, and client dependencies. Implementation and external operating costs are identified separately. We agree the timeline and acceptance criteria before kickoff.

Can our team maintain it after handover?

Yes—that is the intended ownership model. We identify the source, documentation, operating tasks, licenses, and dependencies your team needs. You can maintain the agreed system or choose an ongoing care plan.

What is the technical foundation?

Mastra is our preferred orchestration foundation, subject to project-fit validation. Test execution, provider choice, workflow rules, and connector configuration are scoped to your environment. You do not need an existing Mastra deployment to start the conversation.

Write us a message.

Send your question or idea directly to Relystra. We’ll get back to you by email.

Your contact details and message

A general description is enough. Please leave out credentials and confidential project information.

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Prefer email? info@relystra.com

Show us how QA works today.
Let’s design what happens next.

Bring your stack and the handoff you want to improve. We’ll start there.

Book a 15-minute call

Let’s talk QA.

Book a 15-minute call with Braylin.

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