Plain-English summary
What your architecture does end to end, translated from boxes-and-arrows into language you can carry into any conversation.
AI quality-engineering platform
Turn your architecture diagram into a prioritized test plan — without uploading it.
You've been handed a swimlane doc and an architecture diagram — neither written for testing. Answer a few questions and QualityAIQ matches your system to an industry-standard reference architecture, then derives the checkpoints, validation techniques, and risk-ranked test paths you'd otherwise rebuild by hand.
~2 minutes to a confirmed diagram
A real diagram from the tool, not a mockup — every zone, icon, and animated flow edge is generated the same way yours will be.
See the whole workflow in 30 seconds
Match, checkpoints, risk-ranked progress, and a Jira-ready export — the short version. Prefer the interactive walkthrough? Watch the full demo →
How it works
- 1
Match
Pick your industry and answer a few adaptive questions — no upload, no describing your real system.
- 2
Confirm
Rename the generic diagram in your own vocabulary and lock it. That’s the whole editing step.
- 3
Generate
Checkpoints, prioritized paths, an execution plan, and a Jira-ready write-up — derived, not typed.
What you walk away with
Checkpoints
The natural validation points in your flow, each with what "correct" looks like and how to actually check it.
Prioritized test paths
Every path through the architecture, ranked — so you know which scenario to test first and why.
E2E execution plan
A stage-by-stage plan with entry/exit criteria per checkpoint, ready to structure your test cycle.
Jira/Xray-ready description
A condensed write-up formatted to paste into a ticket and feed your company’s AI test-case generator.
Progress matrix & reporting
Track pass/fail per checkpoint per event type, and generate stakeholder-ready status views.
Test Utilities
Explore Test Utilities →Stop hand-editing 3-4 JSON payloads every test run
The Payload Chain Builder chains related documents — a PO, its ASN, its Invoice, or any multi-step sequence with server-generated cross-references — and regenerates a fresh, internally-consistent set in one click.
Coming soon — members only
Test Automation
Most tools record what your app does today and warn you when that changes. This one works out what your app says it will do — the rules its own pages declare, plus researched rules for 16 enterprise systems (D365, SAP, Salesforce, Epic and more) — and checks it against them. Those checks have a known right answer, so they catch a rule the app has been breaking all along, not just a change.
It's in closed beta while we finish verifying site ownership for automation that clicks and submits on a live site, not just reads it. It opens up to all members once that's ready.
Learn more →Models your app as it is today
A real browser walks the pages — signed in with a test account if you set one — recording the actual fields, their rules and each page’s API calls. Every exploration is kept and dated, so the model is a record of the app over time, not a pile of tests that quietly go stale.
Checks with a known right answer
Required fields, email formats, number limits and patterns become checks derived directly from what the app declares — no AI in the loop, and no assumption that today’s behaviour is correct.
Write protection by default
Unless you declare a staging environment, any request that would change data is blocked in the browser before it leaves.
Tells you which one is wrong
When a check fails, the scenario is re-planned against the page the run actually left behind and tried again. If it then passes, the test was wrong. If it still fails, that’s reported as a defect — never quietly “healed” until the run goes green.
Ready to sign off
A status report with red, amber or green per feature, exit criteria that say whether it’s good enough to ship, a test plan ordered by risk, and a Jira-ready defect for every confirmed failure.
Yours to keep — Playwright and Xray
Download any scenario, or all of them, as a standard Playwright test file for your own CI, or as a Cucumber feature file for Xray. Test logins are stored encrypted and never leave as values — the export reads them from environment variables.
What happens when your app changes
A release lands that nobody told us about and quietly stops enforcing a rule. Watch it get caught, the right nine checks re-run, and a sign-off written — in about two minutes.
Shipped
We mutation-tested our own matching engine
We ran 5,800 simulated questionnaire sessions — with realistic mistakes and skipped answers — through the matcher, then replaced its hand-tuned weights with a model trained on the results. Confidently-wrong matches dropped from 10.4% to 2.2%. It ran only on our own library, never on anything you type. How we did it →
From the blog
A new integration-architecture pattern each month — how it works, what typically breaks, how to test it.
All Your Tests Passed. The Bug Shipped Anyway.
Tests catch what breaks, not what quietly disappears. Why that gap is growing as vendors ship every few weeks and AI wri…
Read →The Month Our Engine Finally Beat the Chat Model
We benchmarked our own test-generation engine against a chat model given every page of the app — and lost, 3 seeded bugs…
Read →Telematics / UBI Risk-Scoring Pipeline
The fleet endpoint produces events whose correctness is nearly tautological: a device reports what it reports, and the i…
Read →FNOL → Adjudication → Payout Saga
Both are cheap to verify and both are misleading, because neither is where the claim's meaning is decided or where it ca…
Read →EMPI Identity Resolution
Both are cheap to assert and both are nearly useless as a measure of whether identity resolution works, because neither…
Read →Remote Patient Monitoring & Escalation
The tempting places to point a tester are the ends of this chain: the wearable fleet, where the data is born, and the EH…
Read →HIE Federated Query
Both are tempting because both are legible — you can see a request go out and a document come back, and you can assert o…
Read →DICOM / PACS Vendor-Neutral Archive
The tempting places to aim test effort in this chain are the ends: the modality fleet, where pixels originate, and the W…
Read →Prior Authorization Workflow (X12 278 / FHIR PAS)
The tempting places to test this flow are its ends: does the ordering EHR build a valid FHIR Claim, and does the schedul…
Read →How the privacy model works
You never upload a diagram or describe your real system. Instead, a few guided questions match you to the closest pattern in our library of generic, industry-standard reference architectures. You layer your own component names on top — those names stay in your session and are never used to grow the library. Every generated artifact reads in your vocabulary, built entirely from the generic pattern.
See it on your own architecture
~2 minutes to a confirmed diagram, free, no account required until you want the deeper analysis.
Find my architecture →