When leadership asks where your QA team stands on AI, show them the report.
Get the Qami AI Readiness Baseline for your QA Automation Team — clear insights and a practical improvement plan.
You walk into the leadership meeting with a score card, a gap list, and a training plan. Not a guess.
We take on 5 new FREE teams per month.
We handle setup. You invite your team and start the baseline.
Qami AI Teams Platform
AI Readiness Baseline
AI Readiness: 91%
Hey, I'm Matviy Cherniavski, founder of Qami AI, a Principal SDET with 10+ years in QA automation and an AI evangelist. Qami AI Teams helps QA teams assess AI readiness and get actionable feedback on their gaps, what they need to learn, and what they should do next.
Our in-house AI evaluator, trained on the latest AI QA domain knowledge
- 1A team member types their open-ended answer.
- 2Qami AI scores it against a detailed QA rubric.
- 3You see scored results for every individual and the team as a whole.
- 4Each team member receives a personal improvement plan based on their evaluation.
Qami AI Readiness Baseline — a 24-task diagnostic for QA Automation Teams
- ✓Tasks across 4 topics: AI foundations, coding agents, safety guardrails, and evaluation.
- ✓Open-ended questions evaluated by Qami AI against a detailed rubric.
- ✓Takes 25 minutes. You get a score, a topic breakdown, and a clear list of gaps with next steps.
Right now you have opinions, not data.
You know some people are using Copilot. You heard someone tried Cursor.
But you cannot say where the gaps are, or how ready your team is to adopt AI tooling safely.
Without a baseline, you cannot pick the right training, justify the budget, or prove anything improved.
Teams that adopt AI tools without a baseline spend more on training that misses the actual gaps. Three months later, they still cannot say what changed.
Most teams that fail at AI adoption have one thing in common. It is not budget.
Measure first. Then train.
Run the Qami AI Readiness Baseline before training.
Run it again after.
You get a before-and-after comparison leadership can see.
Four topic areas that matter for AI-assisted QA Automation
AI Foundations
- •Does your team know why AI gives a confident but wrong answer — and how to catch it before it ships?
- •This topic covers the basics every practitioner needs to use AI reliably.
AI Coding Agents in Practice
- •Agents can rewrite files, run commands, and open pull requests without asking.
- •Does your team know how to scope a task so the agent stays on track — and when to stop it?
Safety and Guardrails
- •AI tools can run commands, access credentials, and install software.
- •Does your team know what approvals to require and what risks to block before anything reaches production?
Evaluation and Verification
- •When an agent says it's done, how does your team know?
- •This topic covers how to set a clear definition of done, review AI output, and sign off with confidence.
From contact to report in four steps
- Contact us. Tell us your team size. We handle the rest.
- We set up. We create your workspace. You invite the team.
- Team completes. Your team takes the Qami AI Readiness Baseline in the browser. 20–30 minutes.
- Get the report. Scores, gaps, and next-step guidance delivered to you.
A report you can act on and share
See exactly where the team can apply AI and where they cannot.
Team readiness score
One number for the whole team, broken down across all four topic areas. Bring it to any leadership conversation.
Capability gap breakdown
See which topic areas the team has covered and which are missing. Know where to focus before you spend on training.
Question-level gap detail
Each weak area is broken down by concept and question type. You know not just that Safety is weak, but which specific skills are missing.
Prioritized training focus
The report tells you which topics to address first. Training budget goes to the actual gaps, not a guess.
Shareable management report
A formatted report you can send to leadership or use in a planning meeting. No manual summarizing.
Reassessment baseline
Run the Qami AI Readiness Baseline again after training. The question bank stays fixed so you get a valid before-and-after comparison.
Start free. Scale when your team grows.
Free
$0
For teams up to 19 people
1 Baseline run for the whole team.
We built the free tier to give your team something useful before you spend anything.
Start FreeNo credit card. No install. No sales call.
Teams 20+
$2,997
For teams of 20 or more
2 Baseline runs for the whole team.
Most teams adopt AI tools without knowing what they don't know.
For a team of 20, that is $150 per person for an AI-graded baseline and a full readiness report.
Start FreeIncluded in all packages
- Team baseline workspace
- Manager dashboard
- Full team AI-readiness report
- Category and gap breakdown
- Individual participant recommendations
AI coding agents are the default in 2026. Most managers cannot tell leadership where their team stands.
Your team might be ahead of the market. It might be behind. Right now you have no way to know.
We take on 5 new free teams per month. Spots fill by mid-month.
After one baseline, you will have:
- 1Where your automation team actually stands on AI adoption.
- 2Which gaps exist and what to fix first. No more spending on training that misses the point.
- 3A document you keep. Team score and individual breakdowns you can show leadership or file away as proof you know your numbers.
We set up. You invite the team. The baseline runs in the browser. 20 to 30 minutes per person.
Who this is for
- QA Managers and Directors with QA Automation teams
- Leaders responsible for Test Automation
(!) Not a fit for entirely Manual QA teams.
Frequently asked questions
Who is this for?
QA managers and directors with QA automation teams. It is designed for teams already using or actively adopting AI in testing and engineering workflows. It is not a fit for fully manual QA teams.
Is this a training course?
No. This is a diagnostic. It measures what your team knows right now. It does not teach anything. What you do with the results is your decision.
How does setup work?
We create your workspace. You invite your team from the platform. Each participant completes the Qami AI Readiness Baseline in the browser. You receive the report once all responses are in. No sales call unless you want one.
Does this use AI?
Yes. Open-ended responses are evaluated by Qami AI against a rubric. Closed questions score against an answer key. You get scored results for every question type.
Do we need to install anything?
No. The Qami AI Readiness Baseline runs in the browser. Nothing to install.
How long does it take?
Most participants finish in 20 to 30 minutes.
Can we run it again later?
The free plan includes 1 run of the Qami AI Readiness Baseline for the whole team. To run it a second time after training and compare results, upgrade to the Teams 20+ plan, which includes 2 runs. The question bank stays fixed so the before-and-after comparison is valid.
What kinds of questions are included?
Three types: single-answer, multi-select, and open-ended. All four topic areas are covered: AI foundations, coding agents, safety, and evaluation. Open-ended responses are graded by AI. No participant sees the answer key.
Why not just survey the team yourself?
A survey tells you what people say they can do. The Qami AI Readiness Baseline tests what they can actually do. Open-ended responses are graded by AI against a detailed rubric, not self-reported. You get scored results, not opinions, which is what leadership needs to make a training or budget decision.
Why $2,997?
For a team of 20, that is $150 per person for the Qami AI Readiness Baseline — an AI-graded gap breakdown and a training plan. You can run it again after training to measure what changed. The question bank stays fixed so the comparison is valid.
A management baseline your leadership can use, and training scoped to your team's real gaps.
Free for teams up to 19. No sales call unless you want one.