Weeks 1–2: workspace & crawl
Weeks 1–2: workspace & crawl is executed by QASyn's autonomous agents for 12-week enterprise pilot. Each run captures per-step PNG evidence, DOM context, calibrated confidence and an immutable audit record.
COMPANY
12-Week Enterprise Pilot
A scoped pilot on your real codebase with SLA, security review and Go/No-Go exit criteria.
Weeks 9-12: CI gates & QASyn
Weeks 9-12: CI gates & QASyn is executed by QASyn's autonomous agents for 12-week enterprise pilot. Each run captures per-step PNG evidence, DOM context, calibrated confidence and an immutable audit record.
Security review included
Security review included is executed by QASyn's autonomous agents for 12-week enterprise pilot. Each run captures per-step PNG evidence, DOM context, calibrated confidence and an immutable audit record.
Evidence-first execution
Every 12-week enterprise pilot step runs in a real browser and persists a full-resolution screenshot plus expected-result metadata. Failures are reproducible from the same run record.
QASyn Vision AI verification
Visual assertions are calibrated by QASyn Vision AI with an abstention path, confidence score and locator grounding. Ambiguous evidence is escalated instead of guessed.
Bidirectional workflow sync
QASyn syncs pull requests, requirements, suites and test cases with GitHub, GitLab and Azure DevOps. Workspace results flow back to the tools your team already uses.
Architecture & workflow
How QASyn executes 12-week enterprise pilot end-to-end.
- 1
Connect QASyn to the systems that describe 12-week enterprise pilot: repositories, environments, issue trackers and identity.
- 2
Crawl the live application, map DOM flows and author target-specific test cases with QASyn Vision AI grounding.
- 3
Execute in a real Playwright browser and capture step PNGs, traces, network failures and calibrated visual decisions.
- 4
Gate the release with impact analysis, self-healing retries and a signed quality report before merge.
QASyn autonomous agents vs. legacy scripts and recorders
| Dimension | QASyn autonomous agents | Legacy scripts / recorders |
|---|---|---|
| Authoring | ✓ Crawl the live DOM and generate target-specific cases | Hand-written selectors and brittle recordings |
| Maintenance | ✓ QASyn Vision AI re-grounds selectors with abstention control | Manual selector repair after every UI change |
| Evidence | ✓ Real per-step PNG, expected result and audit metadata | Screenshots bolted on after failures |
| Release decision | ✓ Impact analysis, PR gate and calibrated risk score | Pass/fail output with no blast-radius context |
| Governance | ✓ Model, token and skill controls per workspace | Shared credentials and no usage telemetry |
Quality score
96/100
Coverage
94%
Faster triage
4.2×
Manual QA avoided
$24.8K
Frequently asked questions
How does QASyn implement 12-Week Enterprise Pilot?
It combines live crawling, agent-authored cases, QASyn Vision AI grounding and deterministic Playwright execution. Every run persists screenshot evidence and audit metadata for 12-week enterprise pilot.
Does it work with our existing CI/CD?
Yes. QASyn exposes PR gates, webhooks, API tokens and MCP tools so GitHub, GitLab, Azure DevOps, Jenkins and AI coding agents can trigger and consume results.
Can we keep our own AI model?
Team and Enterprise admins can add OpenAI, Anthropic Claude, Google Gemini, DeepSeek, Azure OpenAI or a custom OpenAI-compatible endpoint.
How is evidence retained?
Run evidence is stored with the test case and TestCaseRun history. Workspace roles and audits control who can inspect, export or delete it.
See QASyn test your application in 30 minutes
Autonomous quality engineering, grounded in visual proof. Crawl, author, heal and gate every release.