The app reports what users experience, Sentry knows how the code fails, and the tokenisation supplier knows what happened at the card issuer. I am building one backend that joins all three by correlation id, so support, engineering and management each get answers from one place instead of three tools and a spreadsheet.

When a user sends a diagnostic report from the app, support enters its reference and sees one timeline across app telemetry, Sentry and the token service, with the likely cause and how many other users share it. Staff sign in with Microsoft Entra, every lookup is audited, and personal data never reaches the screen.

Crash-free sessions, card-setup success by transport, app-version adoption and the top issues, grouped across sources by problem code. An issuer outage shows up as one issue with its users and events, not as three unrelated alerts.

Active wearables, cards set up per card programme, token approval rates and the path from install to first payment, by country. Counts and rates only: no names, no card numbers, and card programmes are never broken down to a single card series.

Telemetry uses two separate identifiers and an allow-list, so card data cannot be stored by accident, and everything runs in Switzerland. AI agents write the code behind one OpenAPI contract; I approve every change behind 11 required checks, independent AI code and security reviews and CI-only deployments. The screens shown here are dashboard concepts with illustrative data.