The blueprint for rolling out agentic QA – from picking the right POC to production, distilled from roughly a hundred rollouts across B2B SaaS, fintech, healthcare, and e-commerce.

About this ebook
Adopting Agentic Testing is a free field guide on implementing AI-powered testing without breaking the release cycle you already have. Volume 1, Past the Bottleneck, made the case that scripted QA doesn't survive AI-velocity development. This volume answers the question engineering leaders asked next: how do we actually roll this out?
Inside: how to scope a POC that can succeed, why the first ten tests determine the next hundred, the mindset trap that breaks most adoptions, how to turn a POC into a commitment that survives CFO scrutiny, and a structured 90-day onboarding plan – drawn from the playbook QA.tech's solutions team uses with real engineering teams.
Written for CTOs, heads of engineering, QA leads, and POC champions evaluating or rolling out AI testing tools.
Inside this ebook
Written by

Daniel Mauno Pettersson
CEO
Tech leader and hands-on engineer for the last 20 years. Previously CTO at memmo, Billogram, Dooer, CEO at Agigen.
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Patrick Lef
CPO
Engineer-turned product leader, detail-oriented. Previously CPO/CTO, memmo, Collabs, Besedo, Videofy.
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Vilhelm von Ehrenheim
CAIO
Built EQT's Motherbrain from nothing to a market leader. Lead Data Scientist at Klarna.
LinkedInTable of contents
Why Volume 1's argument raised one question everywhere: how do we roll this out without breaking the release cycle?
The replication trap, the “new colleague” frame, and the three pace traps that look like productivity but aren't.
The walk-the-app call, credible test-volume estimates, one or two flows not coverage, success criteria written down, and when to say no.
The Phase 0 infrastructure checklist, crawl before you write, and the first-ten-tests discipline that determines the next hundred.
Why active tests compound and passive tests drift, the 30-minute workshop pattern, and talking to the agent before escalating to a human.
Building the wrap for the actual decision-maker, co-building the business case, and the three honest outcomes.
The week-by-week plan from team training to PR-triggered testing, plus the KPIs that survive executive review.
From clicker to QA manager: what changes in the day-to-day, and why quality becomes a shared cultural property.
By the numbers

Free PDF. Read it before your next POC scoping call – or send it to the champion who's about to run one.
Quick answers
An agentic testing POC is a short, narrowly scoped trial – typically one or two critical user journeys over one to two weeks – that answers two separate questions: does the agent work on our product (proof of concept), and does it create value at our release cadence (proof of value). Conflating the two is the most common way POCs end ambiguously.
The practice of building the first ten to twenty tests slowly and by hand-guidance, reviewing every step, running each test three times for stability, and only then marking it active. Because the agent learns from its active test set, a careful first ten makes the next hundred mostly trivial – and a sloppy first ten compounds.
Active is a promotion, not a default. Marking a test active tells the agent “imitate this” – so only tests with sensible natural-language steps, a sane recording, and three stable runs should earn it. Weak tests stay in draft.
FAQ
Keep reading
A field guide to quality in the AI-SDLC. Start here if you're still making the case internally.
Read the head-to-heads with scripted Playwright suites, Cypress automation, or managed services like QA Wolf. Planning PR-level checks? Read about PR testing.
QA.tech agents test your product autonomously, so moving fast never means shipping broken. See how it works in a 30-minute demo.