Manuelle Close-Prozesse durch Bürokratie und LkSG-Anforderungen
Definition
Study finds 70% of German SMEs report that lengthy, complex approval processes severely hinder operations. 68% cite documentation and reporting obligations (including supply chain compliance under LkSG) as major burden. Monthly close processes now bundled with: supply chain attestations (LkSG §2 Abs. 1), DSGVO data processing records, energy/climate compliance (68% struggle with this), and mandatory written sign-offs. Manual coordination between departments (compliance, HR, procurement, finance) adds 40–70 hours per close cycle.
Key Findings
- Financial Impact: €8,000–€25,000 annually per accounting firm (€15–€25/hour × 40–70 hours/month × 12 months). For SME with in-house accounting: 40–70 hours/month × €18–€35/hour = €8,640–€29,400/year.
- Frequency: Monthly (recurring every close cycle); compounded by quarterly and annual reporting deadlines.
- Root Cause: Germany's strict regulatory environment (LkSG, DSGVO, energy laws, labor regulations) has added compliance documentation to monthly close. Rigid labor laws (mentioned in search results: 'seven of ten companies say that with more flexible labor regulations, they would not need to relocate value creation to the current extent') push accounting work to be done manually in-house rather than outsourced.
Why This Matters
This pain point represents a significant opportunity for B2B solutions targeting Accounting.
Affected Stakeholders
Finanzbuchalter, Compliance Officer, Personalleiter, Beschaffungsleiter
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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-Dokumentationslücken und Betriebsprüfungsrisiken
Gewinnlücke durch HGB-Konservatismus: Falscher Datenbasis für Management
Arbeitsplatzverluste und Kompetenzabbau durch Regulations-Overhead
E-Invoicing Mandate Ineffizienz: Rechnungskonvertierung und Validierungsverzögerungen
GoBD-Verstöße durch manuelle Bankabstimmung
Verzögerte Betrugserkennung durch manuelle Abstimmung
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