Field Guide · Volume 2

    Adopting Agentic Testing

    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.

    Adopting Agentic Testing – ebook cover

    About this ebook

    The practical playbook for rolling out agentic QA.

    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

    You'll learn how successful rollouts actually run.

    • Why the “replication trap” – recreating old manual processes step by step – is the single most common adoption failure
    • The “new colleague” mental model that calibrates expectations and supervision
    • How to scope a POC: walk the app, pick one or two flows, write success criteria down before kickoff
    • The first-ten-tests discipline – why active is a promotion, not a default
    • The three pace traps that look like productivity: volume, edge cases, and integrations too early
    • How to build a business case that survives CFO scrutiny – parallel runs, payback math, headcount reallocation
    • The 90-day onboarding plan: team training → foundation build → regression suite → PR testing
    • How the QA role shifts from author to director – and what skills matter after adoption

    Written by

    • Daniel Mauno Pettersson

      Daniel Mauno Pettersson

      CEO

      Tech leader and hands-on engineer for the last 20 years. Previously CTO at memmo, Billogram, Dooer, CEO at Agigen.

      LinkedIn
    • Patrick Lef

      Patrick Lef

      CPO

      Engineer-turned product leader, detail-oriented. Previously CPO/CTO, memmo, Collabs, Besedo, Videofy.

      LinkedIn
    • Vilhelm von Ehrenheim

      Vilhelm von Ehrenheim

      CAIO

      Built EQT's Motherbrain from nothing to a market leader. Lead Data Scientist at Klarna.

      LinkedIn

    Table of contents

    Seven parts. One sequential blueprint from POC to production.

    1. Foreword

      Why Volume 1's argument raised one question everywhere: how do we roll this out without breaking the release cycle?

    2. 01

      The mindset that breaks adoption

      The replication trap, the “new colleague” frame, and the three pace traps that look like productivity but aren't.

    3. 02

      Scoping – picking the right POC

      The walk-the-app call, credible test-volume estimates, one or two flows not coverage, success criteria written down, and when to say no.

    4. 03

      Kickoff – the first week

      The Phase 0 infrastructure checklist, crawl before you write, and the first-ten-tests discipline that determines the next hundred.

    5. 04

      Mid-POC – the discipline of patience

      Why active tests compound and passive tests drift, the 30-minute workshop pattern, and talking to the agent before escalating to a human.

    6. 05

      Turning a POC into a commitment

      Building the wrap for the actual decision-maker, co-building the business case, and the three honest outcomes.

    7. 06

      Onboarding – the first 90 days

      The week-by-week plan from team training to PR-triggered testing, plus the KPIs that survive executive review.

    8. 07

      The role shift

      From clicker to QA manager: what changes in the day-to-day, and why quality becomes a shared cultural property.

    By the numbers

    What rollouts actually deliver.

    • A full regression of 45 tests ran in roughly eight minutes – versus three days manually.
    • Customers have eliminated 320+ manual testing hours per month in the first quarter.
    • Teams have gone from sub-70% test reliability in week two to 95%+ by month three.
    • One healthcare team's most expensive regression – an eight-person, multi-day exercise – was reproduced by the agent in an hour.
    Adopting Agentic Testing – ebook cover

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    Quick answers

    Terms this ebook uses, defined.

    • What is an agentic testing POC?

      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.

    • What is the “first ten tests” discipline?

      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.

    • What does “active” mean for an agent-built test?

      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

    Questions teams ask before rolling out.

    How long does an agentic testing POC take?
    Successful POCs typically run one to two weeks of active work: a scoping call, a Phase 0 infrastructure setup, a first week producing ten to fifteen stable active tests, and a wrap-up built for the actual decision-maker. Teams that compress the first week end up redoing it; teams that stretch past a week are usually blocked on access or InfoSec items that belong in Phase 0.
    How many user flows should an AI testing POC cover?
    An AI testing POC should cover one or two critical user journeys – not the whole application. A POC answers whether the agent works on your product and whether it creates value at your cadence; a few well-built flows answer both, while a coverage attempt answers neither.
    What's the most common reason agentic testing adoption fails?
    The replication trap – recreating an existing manual click sequence step by step instead of adapting to goal-based testing. Teams that do this get a brittle imitation of the old process and conclude the tool isn't ready. The unit of work in agentic testing is the goal a user is trying to achieve, not a recorded click path.
    How do you measure the success of an agentic QA rollout?
    Five metrics consistently survive executive review: coverage (automated user journeys), pass-rate reliability (% non-flaky runs, target 95%+), execution time versus the manual baseline, bugs caught pre-release, and manual hours eliminated per month.
    Do I need to read Past the Bottleneck before Adopting Agentic Testing?
    No. Past the Bottleneck (Volume 1) makes the case for why scripted QA breaks at AI-era velocity; Adopting Agentic Testing (Volume 2) is the operational playbook for rolling agentic QA out. They stand alone, but together they cover the why and the how.

    Keep reading

    The rest of the field guide series.

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