SAP test management built for Azure. Design test cases with AI, execute on Fiori, trace every defect back to its requirement — and turn passing runs into published training videos.
One platform surface. Shared project memory. Shared identity, governance, and audit.Give it a functional spec, a process doc, or a Fiori app — it writes the test cases. Your team reviews and approves, not writes from scratch.
Built specifically for Fiori. Handles shadow DOMs, SE16H table reads, and Launchpad navigation without brittle selectors.
Flag a run for recording and every passing case is captured at 1080p. Training Studio assembles one timeline, AI drafts the captions from the executed steps, and you publish a project-secured lesson. No second recording project.
Manual testers get step-by-step AI walkthroughs with live screenshot analysis. Automation engineers get Playwright runs with full video evidence. Same test library, no duplication.
Every requirement links to its test cases. Every failed step links to its defect. AI flags ambiguous requirements before a single test is written.
Quality score, MTTR, pass rate trend, defect impact by module — in one dashboard. Exportable. No spin required.
Failed steps become Jira tickets on the spot — with steps, screenshots, and context attached. Jira status syncs back. Nothing falls through the gap.
Training video on an SAP programme is usually a second project: someone re-clicks the process on camera, writes a script, and re-records it every time config changes. Training Studio takes the recording your automated run already produced and turns it into an editable, annotated lesson — only from batches where every case passed, so a published lesson can never document a broken process.
Choose Record for Training on any scenario execution. The worker captures each case at 1920×1080 with wall-clock step timing. Regression runs are untouched — recording is never on by default.
A draft can only be created from a completed batch where every case passed and produced a recording. Case recordings and step events combine into one deterministic timeline.
AI generates a caption track from the executed steps. Edit text, timing, on-screen position, visibility, and style against a step-synchronised filmstrip. Every save creates an immutable revision.
Render to WebM, review, publish. Lessons live in a project-secured catalogue with a link you can hand to end users. Project roles govern who can view, edit, render, and publish.

AI drafts the caption track from the steps the test actually executed. Adjust wording, start and end times, position, and style against a step-synchronised filmstrip — every revision retained, nothing overwritten.

Shown here: AI generation from a Fiori app, functional spec, or process doc. Manual authoring and Chrome-extension screen recordings (not pictured) complete the five. One library, however your team works.

When a test step fails, AI analyses the error and recommends the fix — role mapping gaps, missing authorisations, exact steps to retest. Not just a log dump.

Pass rate, execution velocity against daily targets, days to go-live at current pace, defect aging, reopen rate, and tests blocked by open defects — leading indicators on one live dashboard, no configuration required.

Choose what triggers a notification and where it goes — email, in-app, or Teams. Send a test to confirm delivery.
Other tools exist. None were built for SAP teams inside Azure.
SAP-specialist but 6-figure licensing, no AI, requires certified experts, and still needs a separate test management tool.
Included with SAP but clunky UX, minimal automation capability, and zero AI. Teams abandon it for spreadsheets.
Great for tickets. No SAP context, no automation engine, no AI test generation. You still write every test case manually.
Legacy SAP automation with expensive per-seat licensing, a steep learning curve, and no modern AI capabilities.
A separate manual project. Someone re-clicks the process on camera, re-records the whole thing when config changes, and the finished video has no link to the test that proved the process works.
AI-generated test cases from requirements. SAP Fiori native execution. Guided manual testing with screenshot AI. Full requirements-to-defect traceability. And the only SAP test platform that turns a passing automated run into a published, annotated training video — no second recording project, no content drift.