AI in testing, with the governance to keep it.

The problem

Agentic testing works. The estate underneath often does not.

Generated tests arrive faster than anybody can review them. Within two quarters you have a suite nobody fully understands, running against a module base nobody curated, producing results nobody quite trusts.

What we take responsibility for

AI test automation with review gates and self-healing tests.

• Readiness assessment — is your process documentation, module base and test data good enough for agentic creation
• Pilot scope where AI-assisted creation genuinely earns its place
• Human-in-the-loop review gates and acceptance criteria for generated tests
• Module hygiene, so generated tests build on curated foundations
• Self-healing and maintenance strategy, including when to switch it off
• Enablement of your team, so this is a capability and not a dependency

What you get

Deliverables.

• Readiness report
• Pilot scope and results
• Governance model with review gates
• Module curation standards
• Guidance on where AI does not help
• Team enablement

Platforms and tools

What we work with.

• SAP Enterprise Continuous Testing by Tricentis
• Tosca Copilot
• SAP Signavio
• SAP Cloud ALM
• AI-assisted authoring and self-healing features across our tool set

How we start

Three steps.

1. 01

   SAP Agent-led Quality Assessment or a non-SAP equivalent

2. 02

   One pilot process, end to end, with review gates in place from day one

3. 03

   Scale only what the pilot proved

From our work

An example.

We design the quality layer around SAP Cloud ALM and SAP ECT so that agentic test creation stays reusable, traceable and governable.

Questions we get asked

Straight answers.