AR Cash Recovery Controller

The problem

Standard accounts receivable tools treat every overdue invoice as a generic collection task, leading to aggressive dunning of customers who actually have valid disputes or internal blockers. Finance teams struggle to separate real delinquency from payment claims, unapplied cash, and broken promises without manual spreadsheet audits.

What it does

• Validates ledger integrity to detect duplicate IDs, negative balances, and payment-claimed inconsistencies before recommending actions.
• Categorizes receivables into precise states including PTP (Promise to Pay), Disputed, Internal Action Required, and Credit Hold.
• Generates cash forecasts based on evidence-backed classes like Committed or At Risk rather than vague probability percentages.
• Enforces approval gates for material actions such as service suspensions, legal escalations, or debt write-offs.
• Produces prioritized worklists and executive briefs organized by currency and treatment profile.

Why this beats prompting it yourself

General LLMs often invent payment probabilities or suggest aggressive collection tactics that damage customer relationships. This skill implements a deterministic evidence hierarchy and state machine, ensuring that internal billing errors or active disputes are handled as resolution workflows rather than delinquency cases.

Use cases

• Identify internal blockers preventing payment for high-value strategic accounts.
• Track and flag broken promises-to-pay for immediate collector follow-up.
• Classify AR aging into transparent cash-forecast bands for CFO reporting.
• Route disputes to Sales or Operations based on root-cause analysis like pricing or delivery issues.

Known limitations

Requires a minimum dataset of customer/invoice IDs, dates, and balances. Does not support consumer debt collection or autonomous legal authorization.