Savings Calculator
See exactly what your QA costs you today, across manual testing, test maintenance and production incidents, and what Thunders would save you every year.
The calculator gives you three reads of your test automation ROI, built entirely from the numbers you enter, not industry averages.
The comparison axis is always the same: your situation today versus the same workload with Thunders. It is not a price benchmark against another tool.
There is no one-size formula. The calculator rebuilds your real economics from your own inputs:
From there, two simple relationships drive everything:
Annual savings = Current annual cost − Annual cost with Thunders Cost reduction (%) = Annual savings ÷ Current annual cost × 100
Your current annual cost combines manual testing, ongoing test maintenance and the cost of production incidents. The cost with Thunders models the same scope with more tests automated, fewer manual hours and fewer escaped defects. The gap between the two is your return.
Most teams underestimate ROI because they only count license fees. The real cost of ownership of automated testing includes infrastructure, test script development, implementation costs, training expenses, CI/CD integration, test data management, automation reporting and, above all, ongoing automation maintenance. With open-source tools like Selenium, Cypress or Playwright the license is free, but that cost simply moves into writing and maintaining scripts.
This is exactly the line the calculator targets. No-code automation built from natural language, self-healing tests and AI test generation collapse the script-writing and maintenance effort that inflates a traditional TCO model, which is why the "cost with Thunders" figure drops the way it does.
The calculator reports both. Financial ROI is the money: annual savings, lower incident cost, QA and engineering capacity reallocated. Efficiency ROI is what the hours and coverage numbers capture: developer hours freed, defects caught before production, faster time to 80% test coverage, shorter regression testing cycles. A credible business case needs both, and the result screen gives you each side by side.
Fast, because the calculator models it directly. The time-to-value block compares the months needed to reach 80% automated coverage on your own versus with Thunders, and converts the gap into internal investment saved. The payback then compounds with your release frequency: every release replays your regression suites, so each automated run keeps replacing repetitive manual testing. Continuous testing in the CI/CD pipeline is what turns that into recurring savings.
Maintenance is the line that silently erodes ROI, and it is built into the calculator through your automation hours per release. Brittle tests and flaky tests that break on every UI change turn expected savings into recurring cost. Selector-based scripts fail too often; Thunders' intent-based, self-healing automation agents absorb interface changes without manual updates, cutting test maintenance, test failures, false positives and false negatives, and pushing the "cost with Thunders" figure down release after release.
The result screen already surfaces the metrics that matter, and you should keep tracking them after rollout: test coverage, manual testing hours saved, developer hours freed, defects intercepted before production, escaped defects, release frequency and incident cost. Pair them with test analytics and automation reporting to keep proving value and to build stakeholder confidence.
A handful of pitfalls recur across every failed program:
Most of these stem from script-based automation. Thunders defuses them at the root: AI test generation keeps you from automating the wrong things, self-healing tests remove the maintenance debt, and built-in test analytics make your metrics visible from day one.
Use your result as the baseline. Take your current annual cost and projected cost with Thunders, translate the gap into quality KPIs leadership understands, and present the cost-benefit analysis with the time-to-value and incident savings the calculator produces. Real, input-driven figures earn far more stakeholder confidence than generic benchmarks when you justify the automation investment.
It is usually the largest recurring cost and the main driver of ROI erosion. Flaky and brittle tests turn expected savings into continuous expense; low-maintenance, self-healing approaches are what protect the return over time.
It rebuilds your current annual QA cost from your inputs (team, rates, manual share, test-writing and run hours, release frequency, production incidents), then models the same scope with Thunders.
Annual savings = Current annual cost − Cost with Thunders;
Cost reduction (%) = Annual savings ÷ Current annual cost × 100.
No. It compares your cost without Thunders (your current setup, whether manual or script-based) with your cost using Thunders. It is not a price comparison between tools.
Test coverage, manual-testing hours saved, developer hours freed, defect detection rate, escaped defects reaching production, test pass rate, regression cycle time, release frequency and resource utilization.