What we do
Between us, we've spent years as QA and QE engineers on enterprise integration projects — the kind where business analysts hand off requirements, product hands off swimlanes, and architects hand off diagrams, and none of the three were written for testing. Every one of those projects had the same missing step: someone on the QA side had to sit down, merge all three documents in their head, and work out what could actually go wrong and where — before a single test case existed. We did that translation enough times, by hand, to know it's the same mental exercise every time, just with different labels on the boxes and arrows.
QualityAIQ automates that translation layer. Match your system to one of 58 generic, industry-standard reference architectures — across retail, healthcare, logistics, finance, manufacturing and IoT, insurance, e-commerce, and SaaS/MarTech — through a short guided questionnaire, confirm and relabel the diagram in your own vocabulary, and get back the testing view we used to build by hand: a plain-English summary, validation checkpoints, prioritized test paths, an end-to-end execution plan, sample test data, a ticket-ready description for Jira/Xray, and stakeholder status reporting.
The second half of the problem is that the application doesn't hold still. Vendor quality updates arrive on someone else's cadence and increasingly can't be deferred; release cycles that used to be annual are now quarterly or continuous; and code written by agents merges faster than anyone reads it. Most testing tools answer that by recording what your app does today and telling you when it changes — which can only ever catch a change, never a rule the app has been breaking since the day it shipped. So we went the other way: a real browser records what your app actually is, the rules its own pages declare become checks with a known right answer, and researched rules for 16 enterprise systems supply what a screen alone can't tell you. When a check fails, we re-plan it against the page the run actually left behind and try again — if it then passes the test was wrong, and if it still fails we report a defect instead of quietly healing the test until the run goes green.
Alongside that are standalone Test Utilities, including a Payload Chain Builder and an Observability Query Generator, that you can use on their own.
Test Automation — in closed beta
The newer part of what we're building goes past producing context: give it the URL of an app you're authorized to test, and it plans and runs real tests in a real browser. It works on any web app. For 16 enterprise systems — Dynamics 365 F&O, SAP S/4HANA, Salesforce, Epic, Oracle Health, Shopify Plus and others — it also draws on a knowledge base we researched module by module (160 module files, built from cited sources), so tests can follow a behavior across modules the way a subject-matter expert would.
- 1
Explore
A real browser walks the app and records its pages, fields, field rules and API calls.
- 2
Rule checks
Required fields, formats and limits become tests with a known right answer — no AI.
- 3
Test suites
AI-written scenarios against what was actually seen, each ending in a concrete expected result.
- 4
Run safely
Real browser, with data-changing requests blocked unless you declare a staging site.
- 5
Triage
Every failure gets a likely cause you confirm, and a Jira-ready defect when it is real.
- 6
Sign off
Status, exit criteria and a risk-ordered test plan; tests go to Xray and Playwright.
You can see the whole thing on a small demo store we built for it — with search, a cart, promo codes, checkout, and one planted defect: its ZIP code field accepts letters even though the page says it needs five digits. The framework explores the store, writes and runs the tests, catches the defect, explains it, drafts the Jira ticket, and tells you the release isn't ready to ship yet. The three-minute walkthrough is on the Test Automation page.
It's in closed beta while we finish verifying site ownership for automation that clicks and submits on a live site, and it opens up to all members once that's ready. Learn more.
Who it's for
We built this first for the engineer we each used to be — junior, dropped into a project with an unfamiliar architecture diagram and no real sense of where to even start checking. That's the guided structure: where to look, what "correct" looks like at each point, and how to actually validate it. And we built it for who we are now — senior enough that re-deriving the same checkpoint analysis for the twentieth time isn't a learning experience anymore, just hours we'd rather spend on the parts of the job that actually need our judgment. Test managers get the same structure back as a checkpoint-based progress matrix and a printable status report, built on exactly what their team is testing against — not a separate document somebody has to keep in sync by hand.
Our privacy principle
No confidential uploads, ever. We're not asking you to trust us with your real architecture diagram, and you never have to describe your real system in detail to use this. Matching works against a curated library of generic reference architectures drawn from the public canon — Enterprise Integration Patterns, published cloud reference architectures, and industry interchange standards. We know what it's like to need a tool at a client site where uploading a real diagram anywhere simply isn't an option — that's not a compliance checkbox for us, it's the actual reason this works the way it does. The component names you type are used to write your artifacts in your own vocabulary: they stay in your session, and once you sign in they're saved with your account. They're never used to grow the library or train anything. In Test Automation, what the explorer sees on your app stays with that application, and values you give it — like a test account's password — are stored encrypted, never shown back to anyone, typed into your site but never sent to an AI model.
That promise extends to how we build, too. We tuned our matching engine on thousands of simulated answer patterns run against reference architectures already in our library — never your data, never anything you type. If that ever changes, we'll say so here, not bury it in a settings toggle.
How it fits your existing tools
For the core product, we stop deliberately at producing high-quality testing context — we're not trying to also be your test-case generator, your ticketing system, or your CI pipeline. The condensed description we generate is formatted to paste straight into Jira, Xray, Azure DevOps, or whatever your team already uses, where your company's existing tooling takes over from there. We're one link in a chain we didn't build and don't want to own — we just wanted that link to stop being three hours of manual cross-referencing. Test Automation is the one place we go further, and it's a separate module you opt into, not part of that flow — and even there, every test downloads as standard Playwright code for your own CI.
Contact
Something missing, wrong, or a pattern your project needs that isn't in the library yet? Tell us — reach us at support@qualityaiq.com. It's a short list of us reading that inbox, and we'd genuinely rather hear about a gap than have you quietly work around it. See also how it works, the FAQ, and our privacy policy.