Instead of test coverage %
Critical-flow coverage
How many of the journeys that earn you money, or keep you compliant, are protected by reliable tests.
Shows whether what matters is safe.
Our approach: from first call to confident releases
Where you are today
Confident releases, with AI and automation
1
Review
Week 1
We start with a free QA Health Check. We look at your product, your tests and how you release, and find the biggest risks.
2
Join your team
Weeks 2–3
Our engineers join your meetings and tools, and start on the highest-risk gaps first.
3
Automate with AI
Week 3 onward
AI helps us build tests faster and cover more. Every test is reviewed by an engineer and runs in your pipeline.
4
Grow
Ongoing
We keep your tests fast and reliable, train your team, and hand over as much or as little as you want.
Measuring quality in the AI era
Six QA metrics that matter now
AI can write thousands of tests a day, so test counts and coverage percentages stop meaning much. We measure what your business feels: risk protected, release confidence and how quickly you get a result you can trust.
Instead of total test cases
Escaped defects
Bugs that reach your users, weighted by how serious they are.
The quality number your customers feel.
Instead of tests executed
Time to trusted feedback
How long from a change to a test result your team trusts.
Fast, reliable feedback lets you release faster.
Instead of pass rate
Signal reliability
How many test failures are real bugs, not flaky tests or environment problems.
A test suite nobody trusts gets ignored.
Instead of automation %
Release confidence
How many releases ship without incidents, rollbacks or hotfixes.
The result automation is meant to deliver.
Instead of number of AI tests
AI acceptance rate
How much of the AI's tests and fixes your engineers keep, and the hours it saves.
Proves AI adds value, not just volume.
We set your starting baseline in the free QA Health Check, then report against it every sprint.
AI testing on Salesforce and CRM
Common problems, and how we solve them
Teams using AI to test Salesforce and CRM apps often hit the same problems. Here is how we handle each one.
Tests break on complex CRM screens
CRM screens change and load in complex ways, so AI-written tests often break on the next run.
We use Provar, which follows your metadata, and Playwright patterns made for dynamic pages.
CRM & Enterprise Application Testing →Every release breaks the tests
Salesforce releases and admin changes happen all the time. Auto-fixing tools can quietly hide real failures.
We test on preview environments before each release. AI suggests fixes, and an engineer checks every one.
Test Automation Engineering →AI doesn't know your business
Every org has its own objects, roles and approval steps. AI-written tests miss them or only check that a page loaded.
Our engineers map your business rules first. AI drafts tests from your user stories, and the tests check real business results.
AI-Enabled Quality Engineering →Worries about data and security
Sending your data to an AI model raises privacy and compliance questions.
We only use the AI your security team approves, such as Claude, OpenAI, GitHub Copilot or your own model. No production data goes to outside models without your written consent.
AI-Enabled Quality Engineering →Lots of tests, little value
AI makes it easy to create hundreds of tests. Many are duplicates, so the numbers look good but protect little.
We focus on the flows that matter most, remove duplicates, and review every AI-written test before it joins your suite.
How we measure quality →No cost, no obligation
Free QA Health Check
See where AI and automation can cut your testing time, in 30 minutes.
- A 30-minute session with a senior VerticalQA engineer
- A short written summary afterwards
- Your top quality risks, ranked by business impact
- A practical plan for what to fix first