Approach

Cash first. Facts second. Consensus last. A five-step method that turns receivables and reporting into predictable cashflow and clear decisions.

AI & PythonSix Sigma Black BeltERP nativeInterim 24–32h

The 5-Step Method

1) Diagnosis & Data Scan

AR aging, P&L, forecast, cashflow, credit limits, disputes. Python notebooks extract and reconcile data from ERP (SAP, AFAS, Exact, Oracle, Dynamics, Unit4, Twinfield).

Output: baseline KPIs, risk map, quick-win list.
2) Targets & KPI Framework

Define DSO, CEI, write-offs, margin levers. Set ownership per bucket and cadence. BI model seeded for dashboards.

Output: measurable goals and a one-page scorecard.
3) Quick Wins < 30 days

Collections flow, call scripts, dispute triage. AI assistants draft mails, summarize calls, and suggest next actions. n8n/Power Automate remove manual steps.

Output: earlier cash-in and fewer 60+ days.
4) Implementation & Enablement

Embed workflows in ERP/CRM. Select and implement factoring and credit insurance if needed. Train finance & sales. Black Belt practices to stabilize the new process.

Output: working process with clear SLAs and limits.
5) Run, Report & Handover

Monthly rhythm, MT reporting, variance analysis, root-cause fixes. Handover pack with runbook, KPI deck, and governance.

Output: predictable cashflow and durable control.

AI-drafted reminders and call notes; prioritization by pay-propensity; dispute auto-routing.

Lightweight Python models for risk flags and limit proposals; integrates with insurer rules.

AR and cash forecasting with scenario toggles; Power BI visuals; automated data refresh.

Technology serves outcomes. Six Sigma keeps it stable. Together they cut cycle time and errors.