AUTONOMOUS QA AS A SOLUTION

You've tried tools. You've tried hiring. QA still slows you down.

The problem isn't which tool your team picks. It's the model. Here's why engineering leaders are switching to Autonomous QA as a Solution

Scroll to see what's different
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still shipping bugs?

Still shipping bugs ?

6 tools. Multiple SDETs. Months of setup.
Your coverage dashboard says one thing. Your customers say another.

THE REAL PROBLEM

Why more tools and more
headcount don't fix this.

Repeats Every Quarter

Buy a tool, your team writes tests, your team maintains them, your team debugs flakes, repeat.The problem

1Buy a new tool
2Your team writes the tests
3Your team maintains the scripts
4Your team debugs the flakes
5Approve more SDET headcount

What if your team didn't write, maintain, or debug any of it ?

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THE DIFFERENCE

What your team experiences
before and after.

Before Autonomous QA
Months to reach meaningful coverage
Your team writes the tests
Your team maintains the scripts
Your team debugs the flakes
You approve more SDET headcount
Repeat every quarter
After Autonomous QA
AI builds every test autonomously
Self-healing tests across releases
Human QA experts verify every run
No codebase access needed
Your team doesn't touch a script
Coverage delivered as an outcome
CUSTOMER STORIES

Engineering leaders who
made the switch.

Real words from engineering leaders and verified G2 reviewers who made the switch.

AQaaS turned QA into a strategic advantage: self-healing automation, instant coverage, and engineering focus back on shipping products, not fixing tests.

Michael Hoy

Michael Hoy

CEO, Atlas

Instead of scaling QA headcount, we scaled automation with BotGauge AQaaS. Higher coverage, lower cost, faster releases, unmatched ROI.

Rohit Banga

Rohit Banga

Co-founder and CTO, Kitsa

BotGauge AQaaS delivered instant automation, reliable results, and massive time savings. No scripts, no flakiness, no delays.

Arzad Ariff

Arzad Ariff

Co-founder and CTO, rppl.app

67%

Lower costs vs traditional QA

3x

Savings vs AI testing tools

2 weeks

To full coverage (vs 4 months)

One engineering team ran 125 critical regression tests through BotGauge's Autonomous QA. The result: 67% lower costs compared to their traditional QA setup and 3x savings versus other AI testing tools. Coverage timeline dropped from 4 months to 2 weeks.

SOURCE: BotGauge ROI analysis, Maropost case study

WHAT CHANGES

What your team stops doing.
What your team starts doing.

Your team stops

Writing test scripts
Maintaining a test suite
Debugging flaky tests
Justifying SDET headcount
Managing another QA tool

Your team starts

Shipping features every sprint
Trusting CI with real coverage
Releasing same-day without QA queues
Reallocating QA budget to product
Focusing on what engineering does best
“Your engineering org ships product.
Autonomous QA handles the rest”
Lachlan Scown

Lachlan Scown

Co-founder and CTO, Ripple

""Zero maintenance. Their AI agents learn our product and adapt as we ship changes. No brittle scripts breaking at 2 AM. Our engineers now focus on shipping features, not maintaining test suites.""

5x

Faster releases at Ripple
SEE IT ON YOUR PRODUCT
Start a free proof
of concept.
We'll run Autonomous QA on 2-3 of your critical flows. Results in 48 hours. Your team evaluates the outcome, not a sales deck
Start a free POC
Talk to us about pricing
No codebase access needed
Results in 48 hours
SOC 2, HIPAA & GDPR
No commitment required