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Case study · IT & qualityThe tests that never finish before go-live
Agentic regression testing: SAP checked every night
Instead of three people clicking for two days — UiPath test agents walk the critical SAP paths every night. In the morning a report waits on Teams: what works, what broke, where to look.
Executive summary
30 SAP transports a month; manual regression: 3 people × 2 days, ~20% coverage.
Test agents generate and execute scenarios nightly; people analyse deviations only.
4× the coverage with less effort; releases stop breaking production.
SAP (ECC/S4), UiPath Agentic Testing / Test Cloud, Teams.
A company with SAP at its core, 30 transports a month
Every SAP change can break invoicing, warehousing or payroll. Manual regression is 3 people for 2 days — 90 hours a month — and still covers only the essentials.
Under deadline pressure the tests get trimmed. Then production stalls on a Wednesday morning and the team hunts the guilty transport. Everyone knows this script — and that it will play again.
The current reality
- HumanThe team plans regression for the upcoming release
- Human3 people click through scenarios for 2 days
- WaitingDeadlines bite — some tests fall out of scope
- Error riskThe release ships with ~20% coverage
- Error riskThe defect surfaces in production — in front of customers
- HumanFirefighting and a rushed hotfix
The hidden cost of the current process
The most expensive test is the one that never ran.
- 90 hours a month of manually clicking through test scenarios.
- Post-release failures: stalled invoicing counts in tens of thousands, not tester-hours.
- Fear of change: teams postpone SAP improvements because regression cannot keep up.
The cost of doing nothing
Manual work is an operational tax: the automation investment is finite, the manual cost is paid again every month.
The process after automation
- AutomationThe test agent reads the transport scope and picks scenarios
- AutomationGenerates missing cases and test data
- AutomationRuns the regression nightly in Test Cloud
- AutomationA morning report on Teams: pass/fail, screenshots, root-cause pointers
- HumanA human analyses only the deviations and calls the release
What the automation handles
- Generating and maintaining test scenarios
- Nightly regression of critical SAP paths
- An evidence-rich report: screenshots, logs, inputs
When a human decides
- The go/no-go release decision
- Deviation analysis and fix priorities
- Defining the critical processes to cover
Before
After
Value model — example assumptions
Business benefits
- Coverage grows from ~20% to ~80% — with less manual work
- Defects surface at night in test, not in the morning in production
- SAP releases stop being a weekend lottery
- The test team analyses and designs instead of clicking
Board-level KPIs affected
What management gains
- A daily, objective health picture of critical SAP processes
- Release decisions based on a report, not on courage
- A release-quality history — hard leverage with change vendors
Estimate it for your organisation
An illustrative estimate based on your inputs. A model of released capacity — not a savings promise.
Systems in this scenario
Inputs
- Transporty SAP (zakres zmian)
- Scenariusze i dane testowe
- Kalendarz wdrożeń
Mientha agentic layer
- UiPath Agent Builder
- UiPath robots
- Maestro™ · Action Center
Core systems
- SAP ECC / S/4HANA
- UiPath Test Cloud
- Teams (raporty)
Human approval: Teams / Action Center
What we deliver
- A critical-path map of SAP with process owners
- Regression scenarios generated and maintained by agents
- Nightly Test Cloud runs with managed test data
- A morning pass/fail report on Teams with evidence
- A pilot: regression for one upcoming change
- Coverage growth every sprint, risk-first
What we need to start
- The critical SAP process list (10–15 to start)
- Access to the SAP test environment
- Sample test data or approval to generate it
- The upcoming transport calendar
Implementation roadmap
Discovery
We map the process, data and exceptions with process owners.
Design
Target flow, business rules, approval thresholds.
Build
Agents, robots and integrations in your environment.
Validate
Tests on real cases, exception handling.
Go-live
Controlled rollout with human oversight.
Optimise
Monitoring, reporting and continuous improvement.
Typical duration depends on systems and rules — a single process is usually weeks, not quarters.
Risk and controls
Autonomy under control
- Tests run only in the test environment — production untouched
- Every result evidenced: screenshot, log, inputs
- The release decision always stays with a human
- Scenarios versioned — a full test-change history
Why now
- Every month is ~€3,600 of clicking and another release at ~20% coverage
- SAP change velocity is rising — S/4, integrations, patches; manual regression cannot keep up
- Agentic testing has matured: scenarios generate from processes, not recordings
Why this matters to:
Releases follow the calendar, not the team's nerve.
Invoicing and the warehouse stop dying on post-transport Wednesdays.
Production-failure costs fall; testing costs become flat and predictable.
Questions we usually hear
Recordings crumble at every screen or data change. Agents build scenarios from process logic and keep them aligned with change themselves.
They will change jobs: from clicking to case design, risk analysis and decisions. Agents take the night clicking — humans keep the morning analysis.
That is why scenarios come from your processes, not templates. The more customisation, the more regression pays — nobody breaks the standard for you, your extensions do break.
When this may not be the right solution
- A near-vanilla SAP with a handful of transports a year
- No test environment — build that first, automate second
- Critical processes not even listed — we would start with the map, not the tests
A question for your next board meeting
If tonight's regression covered 80% of your critical paths — which risk would stop waking you up?
What did the last failure after an untested SAP transport cost you?
Give us one upcoming SAP change — we will build its regression and show you the first night's report.
Request a one-change regression pilot