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Interfaces and data flows

Connect systems. Keep responsibility clear.

A good integration describes more than two logos. It defines source, target, objects, direction, trigger, error handling, permissions and ownership.

The problem

An integration without an operating model becomes invisible risk.

Beyond the technical link, each integration needs rules for conflicts, retries, monitoring and external API changes.

Projects and collaboration

Tasks and time can emerge where teams already work.

  • Jira projects, issues and worklogs
  • Calendars via CalDAV/iCalendar
  • Email via IMAP/SMTP/POP
  • Real-time events

Finance and authority channels

Booking and filing data is prepared for the confirmed Austrian process.

  • FinanzOnline/VAT
  • ELDA/ÖGK
  • BMD/RZL handoff
  • Bank and booking data

Agents and MCP

Supported agents receive role-based tool access rather than uncontrolled copies.

  • Read queries
  • Confirmed actions
  • Tenant protection
  • Audit and source context

Custom APIs

When no standard connector fits, a bounded adapter is engineered.

  • REST and webhooks
  • Import/export
  • Sync jobs
  • Monitoring and retries

Integration design

Six questions before the first transfer.

  1. 01

    Object

    Which data is really needed?

  2. 02

    Ownership

    Which system leads each field?

  3. 03

    Trigger

    Real-time, schedule or manual?

  4. 04

    Operations

    Who handles failures and API changes?

FAQ

Integration questions

Is every named integration immediately available?

No. Each connection is marked production, beta, export, partner solution or custom implementation.

Are bidirectional integrations always better?

No. A clear source of truth and simple direction reduce conflicts. Bidirectional sync is used only when the process requires it.

How are credentials protected?

Server-side storage, least privilege, tenant separation and managed renewal/revocation belong to the design.

Integration details

Next step

Which systems still talk through spreadsheets?

We document data flow, failures and business value before building the connection.

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