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The tests that never finish before go-live

Agentic regression testing: SAP checked every night

Today three people click through scenarios for two days. With UiPath test agents the critical SAP paths are checked every night, and in the morning a report waits on Teams: what works, what broke and where to look.

Request a one-change regression pilot All agent scenarios

20%of critical SAP paths is what this example company's manual regression covers, because there is never time for more before go-live.

Executive summary

Challenge

30 SAP transports a month; manual regression: 3 people × 2 days, ~20% coverage.

What changes

Test agents generate and execute scenarios nightly; people analyse deviations only.

Business value

4× the coverage with less effort; fewer post-release defects in production.

Systems & scope

SAP (ECC/S4), UiPath Agentic Testing / Test Cloud, Teams.

Illustrative scenario

A company with SAP at its core, 30 transports a month

Every SAP change can break invoicing, warehousing or payroll. Manual regression takes 3 people 2 days, or 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 for the transport that caused it.

The current reality

HumanThe team plans regression for the upcoming release
Human3 people click through scenarios for 2 days
WaitingDeadlines bite, and 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

HumanWaitingError risk

The hidden cost of the current process

The cost of the tests that never ran

90 hours a month of manually clicking through test scenarios.
Post-release failures: stalled invoicing costs tens of thousands of euros, far more than tester-hours.
Fear of change: teams postpone SAP improvements because regression cannot keep up.

The cost of doing nothing

A year of manual regression≈ 43 200 €

3 years of the same 2 days of clicking≈ 129 600 €

Production failures after releasesoutside this model

You pay for the automation once; the manual process costs you 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

HumanAutomation

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

Critical-path coverage~20%

Regression frequencybefore releases

Manual work / month~90 h

Defect discoveryin production

After

Critical-path coverage~80%

Regression frequencynightly

Manual work / monthdeviation analysis

Defect discoverybefore the release

Value model: example assumptions

Illustrative model

30 transports × 180 min of manual regression= 90 h / month

90 h × €40 tester-and-consultant cost= €3,600 / month

12 months× 12

The annual cost of manual testing alone≈ 43 200 €

Business benefits

Coverage grows from ~20% to ~80% with less manual work
Defects surface at night in the test environment
SAP releases with a predictable outcome
The test team analyses results and designs cases

Board-level KPIs affected

What management gains

A daily, objective health picture of critical SAP processes
Release decisions based on a test report
A release-quality history to use in talks with change vendors

Estimate it for your organisation

Volume per month

Manual minutes per item

Fully loaded hourly cost (€)

hours released per month

annual capacity released

An illustrative estimate based on your inputs. It models released capacity and is not a savings promise.

Systems in this scenario

Inputs

SAP transports (scope of changes)
Test scenarios and data
Release calendar

Mientha agentic layer

UiPath Agent Builder
UiPath robots
Maestro™ · Action Center

Core systems

SAP ECC / S/4HANA
UiPath Test Cloud
Teams (reports)

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.

Duration depends on the number of systems and rules; a single process usually takes a few weeks.

Risk and controls

Autonomy under control

Tests run only in the test environment; production is not touched
Every result evidenced: screenshot, log, inputs
The release decision always stays with a human
Scenarios versioned, with a full test-change history

Why now

Each month ~€3,600 goes on clicking, and the next release ships at ~20% coverage
SAP change velocity is rising (S/4, integrations, patches); manual regression cannot keep up
Agentic testing has matured: scenarios are generated from process descriptions

Why this matters to:

CIO

Releases go out on schedule.

COO

Invoicing and the warehouse no longer stall the Wednesday after a transport.

CFO

Production-failure costs fall; testing costs become flat and predictable.

Questions we usually hear

"We have recorded test scripts."

Recordings crumble at every screen or data change. Agents build scenarios from process logic and keep them aligned with change themselves.

"Will our testers lose their jobs?"

Their work changes to case design, risk analysis and decisions. Agents run the tests at night; people keep the morning analysis.

"Our SAP is heavily customised."

That is why scenarios are built from your processes. The more customisation, the more regression pays, because it is usually your extensions that 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, then automate testing
Critical processes not even listed: we would start by mapping them

A question for your next board meeting

If tonight's regression covered 80% of your critical paths, which risk would stop keeping you awake?

Solutions in the library

The same process as an implementation plan

The scenario shows the process with an AI agent on an example company. Library solutions describe the same or a neighbouring process with a value model and an implementation plan.

IT & systemsData migration validated by full testing

A spreadsheet sample of a few hundred records is what currently stands between your migration and go-live.

See the solution IT & systemsEvery release regression-tested, including the phone

Regression is a checklist two people click through on the last afternoon before a release.

See the solution Legal & complianceSegregation of duties checked every week

The auditor finds your role conflicts once a year. By then the oldest of them is twelve months old.

See the solution

We deliver it through our service AI agents on Microsoft Teams.

Industries with similar processes described: Retail & FMCG, Finance & insurance, Manufacturing & industry.