Unbillable Servicezeiten durch manuelle SLA-Abrechnung
Definition
Manual SLA ticket management creates friction in the invoice chain: (1) Support hours scattered across emails, Jira tickets, and DATEV logs; (2) Invoice generation requires manual SQL queries or Excel pivots; (3) Approval cycles delay invoicing by 20–40 days; (4) Customer disputes require re-investigation of unstructured logs; (5) Historical reconciliation is nearly impossible. Result: 5–10% of support revenue is never billed.
Key Findings
- Financial Impact: €15,000–€50,000 annually: 5–10% of annual support revenue (assuming €150k–€500k annual support revenue per SME). Equivalent to 200–400 unbilled support hours (at €75–€125/hour blended rate).
- Frequency: Continuous (every support engagement); most visible during monthly/quarterly invoicing runs.
- Root Cause: Unstructured SLA ticket data; manual invoice generation; no automated audit trail linking support hours to customer contracts and invoices.
Why This Matters
This pain point represents a significant opportunity for B2B solutions targeting IT System Custom Software Development.
Affected Stakeholders
Billing Manager, Project Manager, CFO, Account Executive
Deep Analysis (Premium)
Financial Impact
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Current Workarounds
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Methodology & Sources
Data collected via OSINT from regulatory filings, industry audits, and verified case studies.
Related Business Risks
GoBD-Nichtkonformität durch manuelle SLA-Dokumentation
Produktivitätsverlust durch manuelles SLA-Tracking und Incident Escalation
SLA-Breaches und Kulanzleistungen durch unvollständiges Incident Tracking
Kundenverlust durch verfehlte SLA-Ziele und langsame Incident Resolution
Manuelle Testausführung vs. Automatisierung – Überstundenkosten
Unvollständige Testabdeckung führt zu kritischen Defekten in der Produktion
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