Manual testing vs Tricentis
The business case, not the tool choice. Whether automation pays back depends less on which tool you pick than on how often you run the suite.
Also searched as: Tricentis vs manual testing · test automation ROI vs manual
- Test Automation Tool A
- Test Automation Tool B
- Manual
Model Manual testing vs Tricentis on your estate
We have not measured these products and publish no cost for either. Choose how each should be modelled and the 5-year comparison appears below.
Choose a category for Tricentis to see the chart. Or skip straight to the calculator and enter measured figures instead.
Open the CalculatorThe scenario these figures describe
- One application with 300 test cases (90 basic, 150 average, 60 complex).
- 12 full regression runs a year, each finding about 5 defects.
- 40 new cases added a year as the product grows.
- A loaded cost of $120k per engineer per year across 1800 working hours.
- A 5-year horizon.
Reference: what each category of tooling costs at this scenario
By category only — the numbers the chart above is built from.
| Cost over 5 years | Manual + spreadsheet | AI-native tool | Legacy script tool |
|---|---|---|---|
| Labour | $436,783 | $39,867 | $166,367 |
| Licensing | $0 | $150,000 | $37,500 |
| Infrastructure | $0 | $30,000 | $60,000 |
| Total | $437k | $220k | $264k |
| Build effort | 196 hrs | 143 hrs | 843 hrs |
Manual cost is a multiplication, and the multiplier is your release cadence
Writing a manual case is quick — often quicker than automating one. Executing it costs the same every time, because the tester is the run. Automation front-loads authoring, then executes at a fraction of the person-time. So the comparison reduces to how often the suite runs.
Coverage is the assumption most business cases get wrong
A manual suite and its automated replacement are rarely the same scope: teams automate regression and keep exploratory manual, so comparing against the full manual effort overstates the saving. Record what share the manual suite actually covers — there is a coverage note on the baseline.
What this model deliberately excludes
It counts labour displacement only — not escaped defects, incidents avoided, or the release velocity a faster feedback loop buys, which are usually why a team wants to automate. That understates the case, which is the right direction for a number you must defend.
About each tool
Sourced, dated facts only — no cost estimates.
Manual testing
No automation
Executing the regression suite by hand each release, with cases held in a test-management tool or a spreadsheet. Inexpensive to author; the cost of every cycle is paid in staff time.
- Execution Every minute of execution is a person-minute: the tester is the run, so there is no separate triage step. source
Last reviewed 2026-09-09
Tricentis
Codeless enterprise platform
Enterprise test automation suite with deep support for packaged applications such as SAP and Oracle. Sold through a quoted enterprise licence rather than public per-seat pricing.
- Analyst placement Named a Leader in the first Gartner Magic Quadrant for AI-Augmented Software Testing Tools (October 2025). source
- Pricing model Quote-only enterprise licensing; no public price list. source
Last reviewed 2026-09-09
Run this with your own numbers
The figures above describe a generic 300-case suite. Yours is not generic. Put in your own case counts, release cadence and hourly rate and the comparison becomes evidence rather than illustration.
Open the CalculatorQuestions
How long until automation pays for itself?
The model produces a payback period in months from your own inputs. Under 18 months is generally an easy case to make; beyond about 36 months the assumptions deserve re-examination before you take it to a budget holder.
Does this include the quality benefits of automation?
No, deliberately. It counts labour cost displacement only. Escaped defects and release velocity are excluded, so the figure is a floor rather than a full account of the value.