Cost Center Allocation Control
ReportAudits cost allocation with tie-out, ABC causality and Benford forensics — produces an allocation-consistency score.
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What it does
Audits whether cost allocation across cost centers is correct, consistent and defensible through five control blocks, producing a 0-100 Allocation Consistency Score.
- Tie-out / reconciliation — for each cost pool,
Σ(allocation %) = 100%andΣ(distributed) = pool amount. Any gap is over/under-absorption: |gap| ≤ 0.5% info, 0.5–2% warn, > 2% critical. Everything else builds on this. - Driver-cause fit (ABC lens) — using Cooper & Kaplan's Activity-Based Costing, it questions whether the chosen allocation base (headcount, m², machine-hours) is the true causal driver of the pool; an arbitrary volume-proxy base → "driver-cause mismatch".
- Method correctness — for service-department cost transfer it audits the direct / step-down / reciprocal choice. Reciprocal is most accurate (fully reflects mutual services), step-down is order-sensitive, direct ignores reciprocal services; deviations are weighed by materiality.
- Period-over-period drift — change in allocation ratio per center; a median+MAD based modified Z-score > 3.5 or 1.5× IQR outlier is flagged as an explanation-requiring finding.
- Forensic scan — with ≥ ~300 rows, Benford's Law first-digit analysis (chi-square / MAD) plus round/repeated-amount density; deviation is a data-integrity red flag, not run on small data (avoids false precision).
When to use it
Month/quarter-close allocation tie-out; budget-vs-actual allocation variance review; validating a new allocation driver; pre-internal-audit allocation integrity scan; cost-pool check before transfer pricing or management reporting. Audience: Finance / FP&A / Cost accounting / Internal control.
Method / frameworks
CIMA cost allocation hierarchy (direct / cost-driver tracing / apportionment / absorption); Activity-Based Costing (Cooper & Kaplan, HBR 1988); direct / step-down / reciprocal service-department methods; reconciliation / tie-out; Benford's Law (ACFE Fraud Examiners Manual + ISA 240); robust median+MAD Z-score for statistical anomaly. Standards: IAS 2 §12–14 (fixed overhead to normal capacity, under/over-absorption), IAS 1 / Conceptual Framework materiality, IFRS 8 operating-segment reporting. Thresholds are typical ranges; if company policy differs they are requested — no fabrication.
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