The whole platform, section by section.

High-risk AI, ready to ship.

Risk classification, technical documentation, record-keeping, human oversight, the Art. 73 serious-incident clock and GPAI provider obligations — checked continuously against your delivery data, with an article-by-article coverage report.

• Risk class declared per AI system (Art. 6)
• Technical documentation linked in merged PRs (Art. 11)
• Human oversight log present in 2 of 3 deployments
• Serious-incident report clock running (Art. 73)
• GPAI training-data summary disclosed (Art. 53)

Privacy by design, evidenced.

Evidence privacy by design (Art. 25), security of processing (Art. 32), the 72-hour breach clock (Art. 33) and DPIA coverage (Art. 35) automatically — from the tickets, pull requests and pipelines you already have.

• DPIA linked for high-risk processing changes (Art. 35)
• Security review on every PR touching personal data (Art. 32)
• Breach ticket open 61h — 72h deadline approaching (Art. 33)
• No PII in logs or fixtures (CI data gate)

SAP change control, evidenced.

Tie every SAP transport to an approved change, enforce DEV→QA→PROD discipline, and catch direct-to-prod and stale transports — continuous ITGC evidence from your SAP landscape, alongside your delivery tools.

• Transport linked to an approved change
• No direct-to-PROD transports
• 2 transports modifiable > 14 days
• Workbench / Customizing transports only

All four DORA metrics, computed for you.

Deployment frequency, lead time for changes, change failure rate and MTTR — calculated per team from Jira, GitHub, GitLab, Azure DevOps and Jenkins, banded Elite to Low, with drift alerts that name the exact pull requests. Never individual developer scoring.

• Deployment frequency · Elite (daily)
• Lead time for changes · 26h median
• Change failure rate · 18% — above target
• MTTR · 2.4h · High

Write them yourself

JQL, YAML or plain English, with a live preview before you save.

Describe it, the AI drafts them

Paste your definition of ready or incident process into the assistant. It proposes domains and rules; nothing is created until you confirm.

Ship on Friday with a verdict everyone accepts.

Compliance Gates compile every automated check and human sign-off into a single GO / NO-GO verdict, scoped to the domains and teams that matter. Nobody has to read a Slack thread to know if you're ready.

• Automated checks & locked sign-offs

  Foundation checks evaluate automatically; sign-offs record who confirmed what, and when. Recommended checks show, but never block.

• Gate template library

  One-click EU AI Act, GDPR, DORA metrics, QA, SAP and SLA templates — pre-scoped rule packs for the framework that applies to you.

• Domain & team scoping

  Every gate is scoped to the domains and teams it governs, so the verdict only reflects what that gate is actually accountable for.

• Recurring gates

  Re-open a gate monthly, quarterly, every six months or yearly, so periodic reviews run themselves.

• Shareable & embeddable verdict

  A read-only, expiring link for auditors — or a live embed in Confluence, Notion or any page that supports an iframe, where sign-offs are attributed to the real user.

Drift detection that knows a rising number is sometimes good news.

Daily digest to Slack or Microsoft Teams. Three suggested next steps per alert. Noise suppressed by default — PulseCheck AI only interrupts when something actually changed.