Ship faster by breaking things first
Manual QA is the bottleneck that kills release velocity. AISME.AI QA agents write test cases, execute regression suites, triage bugs, and generate coverage reports — around the clock, without a human in the loop.
QA is always the last item on the sprint — and the first to get cut
Manual testing can't keep up with shipping velocity
Agile teams push features daily. Manual regression cycles take days. Something always ships untested — and production pays the price.
Test case documentation is a constant backlog
Engineers write features faster than QA can document test plans. Coverage gaps grow silently until a critical bug slips through to a customer.
Bug triage wastes senior engineer time
Sorting, reproducing, prioritising, and routing bug reports consumes hours of time from engineers who should be building, not managing a queue.
Coverage reporting is opaque until it's too late
Without real-time visibility into what's tested and what isn't, engineering and product leads make release decisions based on instinct, not evidence.
A QA engineer that never sleeps and never gets bored
Six core capabilities, deployable individually or as a full QA pipeline depending on your maturity level.
Test case generation
Reads your user stories, tickets, and acceptance criteria and generates comprehensive test cases in Gherkin, plain English, or directly into your test management tool. Covers happy paths, edge cases, and negative scenarios automatically.
→ Mid-tier agentRegression suite execution
Runs your existing automated test suites on a schedule or triggered by a commit. Compares results against baselines, flags regressions, and posts a summary to Slack or your CI dashboard before standup.
→ Entry-tier agentExploratory testing
Using a Senior-tier agent, the system explores new features autonomously — navigating the UI, testing boundary conditions, and logging unexpected behaviours that scripted tests would never find.
→ Senior-tier agentBug triage & routing
Reads incoming bug reports, attempts to reproduce them, assesses severity and priority, identifies the likely component, and routes to the correct team — with a structured reproduction report attached.
→ Mid-tier agentCoverage reporting
Generates live coverage dashboards and weekly reports — which features are tested, which aren't, and what the risk profile of the next release looks like. Delivered as a PDF or piped into your existing BI tooling.
→ Entry-tier agentPerformance & load testing
Orchestrates load test scenarios, monitors response times and error rates under synthetic traffic, and flags degradation thresholds before your users discover them. Integrates with k6, Locust, and JMeter.
→ Senior-tier agentFits into your existing CI/CD pipeline in days
No rip-and-replace. The agent connects to your existing tools and starts delivering value from the first sprint.
We map your current QA workflow
In the scoping call we document your current process — where test cases live, what's automated, where manual effort is highest, and what your release cycle looks like. This becomes the integration blueprint.
Agent connects to your stack
Native integrations with Jira, GitHub, GitLab, Linear, TestRail, Slack, and your CI platform (GitHub Actions, Jenkins, CircleCI). The agent reads tickets, triggers on commits, and posts results where your team already works.
First sprint: test case generation backlog cleared
We start with the highest-value task: generating test cases for your most critical existing features. Within one sprint, your coverage documentation is current. Your QA engineers shift from writing boilerplate to reviewing and approving agent output.
Continuous: agents run every build
From the second sprint onwards, the regression agent runs on every push to main. Results are in Slack before standup. Triage agent processes the overnight bug queue. Coverage report lands in your inbox every Friday morning.
Integrates with
AI agent vs. the alternatives
| Capability | Manual QA team | Off-the-shelf test tools | AISME.AI QA agent |
|---|---|---|---|
| Runs 24/7 without scheduling | ✗ | ✓ | ✓ |
| Generates test cases from tickets | ✓ | ✗ | ✓ |
| Performs exploratory testing | ✓ | ✗ | ✓ |
| Triages & routes bugs automatically | ✗ | ✗ | ✓ |
| Learns your codebase over time | ✓ | ✗ | ✓ |
| Generates coverage reports on demand | ✗ | Partial | ✓ |
| Monthly cost (comparable scope) | $4,000–$8,000 | $500–$1,500 | From $699 |
What software teams achieve in 90 days
Pilot results
"Our QA engineer was spending 60% of her time writing test cases for features that were already shipped. Within two sprints the agent had cleared the entire backlog and she was doing exploratory testing on new features instead."
— Pilot client, Q3 2026 · Full case study coming Month 3
A fraction of one QA engineer's salary
A junior QA hire costs $55,000–$75,000/year. An AISME.AI QA agent starts at $699/month — and covers night shifts too.
QA Starter
- Test case generation from Jira/Linear tickets
- Regression suite execution on push
- Slack & GitHub integration
- Weekly coverage report
- Bug triage & routing
QA Pro
- Everything in Starter
- Exploratory testing (Senior agent)
- Performance & load testing
- Custom CI/CD pipeline integration
- On-premise Docker option
- Dedicated account manager
Clear your test case backlog in one sprint — free
30-day pilot, no credit card. We build a QA agent connected to your Jira and GitHub and show you measurable coverage improvement before you commit to anything.