Ship faster without breaking quality: autonomous QA for Series B+ product teams
QA flow, built by Islands (11207393 Canada Inc.), has launched an AI-driven quality assurance platform built for SaaS companies past initial product-market fit. The headline: autonomous testing agents that find 847 bugs monthly on average and cut QA cycle time from weeks to days.
If your roadmap is slipping because QA soaks up engineering hours, this flips the ratio. The agents handle the repetitive grind 24/7 so your team can focus on building, not babysitting test suites.
The numbers that matter
- Average QA cycle time cut from 14 days to 3 days
- 60% more bugs caught vs. manual testing
- 847 bugs detected per month on average
- Early adopter results:
- 82% reduction in QA cycle time (Series B fintech)
- 90% fewer bugs reaching production
- $240,000 annual savings by redeploying two QA engineers to product work
How it works
QA flow combines GPT-4 reasoning with custom workflow orchestration to create autonomous testing agents. They choose what to test based on code changes, execute end-to-end suites, analyze results, and propose fixes. In many cases, they can deploy solutions without human intervention.
This isn't "record a script and hope it doesn't break." It's continuous, adaptive testing that gets smarter with each run.
Why product teams should care
Shorter QA cycles mean tighter release cadences and fewer hotfix fire drills. You reduce change failure rate and recover faster when issues surface-core DORA metrics that correlate with high-performing teams.
You also get back engineering capacity. Less time reinventing flaky test logic, more time shipping the roadmap.
What you get out of the box
- Autonomous agents that select tests, analyze failures, and propose fixes
- Comprehensive dashboards and real-time alerting
- Analytics on success rates, cost per test, and time saved
- Start with one workflow and scale to full-suite automation within weeks
What the team says
"We built QA flow because we saw the same problem across 40+ client engagements," said Islands CEO. "Engineering teams were spending more time testing than building. Our AI agents handle the repetitive work autonomously, freeing developers to focus on innovation."
"The difference between automation and autonomy is massive," added the Islands CTO. "Automation runs scripts you've written. Autonomy means the AI decides what needs testing, executes it, and improves over time without human direction."
Pricing and access
QA flow is available as a managed service at $1,999 per month. That includes dedicated setup, ongoing optimization, and customer success support.
Early access is open to Series B+ SaaS companies with engineering teams of 15+. Apply here: qaflow.com/early-access.
Rollout checklist for Product and Engineering
- Pick a high-impact workflow (checkout, signup, billing) for the first tranche
- Integrate with CI/CD and define promotion gates for PR merges
- Set SLAs for alerts and triage ownership between QA and Dev
- Track baseline DORA metrics before go-live; compare after 2-4 sprints
- Review compliance needs (e.g., access controls, audit trails) before expanding scope
About QA flow
QA flow is an AI-powered quality assurance automation platform built by Islands, a Toronto-based venture studio focused on AI transformation for Series B+ companies. The platform's autonomous agents detect bugs, propose fixes, and deploy solutions, cutting QA cycle time by up to 82% while improving software quality. It's trusted by fintech, enterprise SaaS, and technology teams across North America.
Learn more at qaflow.com.
Want deeper skills in AI-driven testing?
If you're building internal capability around AI automation, explore this certification resource: AI Certification for AI Automation.
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