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πŸ¦€ ClawHub

Accounts Receivable Manager

by @1kalin

Automate accounts receivable: aging reports, prioritize collections, draft payment reminders, match payments, track DSO, and forecast bad debt exposure.

TERMINAL
clawhub install afrexai-accounts-receivable

πŸ“– About This Skill

Accounts Receivable Manager

Automate AR workflows: aging analysis, collection prioritization, payment follow-ups, cash application, and bad debt forecasting.

What It Does

1. AR Aging Report β€” Bucket outstanding invoices by 0-30, 31-60, 61-90, 90+ days with risk scoring 2. Collection Priority Queue β€” Rank overdue accounts by amount Γ— days Γ— risk for optimal follow-up order 3. Payment Reminder Drafts β€” Generate professional escalation emails (friendly β†’ firm β†’ final notice β†’ collections) 4. Cash Application Matching β€” Match incoming payments to open invoices with variance handling 5. Bad Debt Forecasting β€” Predict write-offs using historical payment patterns and aging trends 6. DSO Tracking β€” Calculate Days Sales Outstanding with trend analysis and benchmarks by industry

How to Use

Tell your agent what you need:

  • "Run an AR aging analysis for our open invoices"
  • "Prioritize our collection queue β€” what should we chase first?"
  • "Draft a 60-day overdue reminder for [client name]"
  • "Our DSO is 47 days β€” how does that compare to SaaS benchmarks?"
  • "Forecast bad debt exposure for Q1"
  • AR Aging Buckets

    | Bucket | Risk Level | Action | |--------|-----------|--------| | Current (0-30) | Low | Monitor | | 31-60 days | Medium | Friendly reminder | | 61-90 days | High | Escalation call + written notice | | 90+ days | Critical | Final demand β†’ collections/write-off review |

    Collection Priority Formula

    Priority Score = (Invoice Amount Γ— 0.4) + (Days Overdue Γ— 0.3) + (Customer Risk Score Γ— 0.3)
    

    Customer Risk Score (1-10) based on:

  • Payment history (avg days to pay)
  • Number of past-due invoices
  • Credit limit utilization
  • Industry default rates
  • Payment Reminder Escalation

    Day 1 (Invoice Due)

    Subject: Invoice #[NUM] β€” Payment Due Today Tone: Friendly, informational

    Day 7 (1 Week Overdue)

    Subject: Friendly Reminder β€” Invoice #[NUM] Past Due Tone: Warm but clear

    Day 30 (1 Month Overdue)

    Subject: Payment Required β€” Invoice #[NUM] Now 30 Days Past Due Tone: Professional, firm

    Day 60 (2 Months Overdue)

    Subject: Urgent β€” Invoice #[NUM] Significantly Overdue Tone: Serious, mention late fees / service impact

    Day 90+ (Final Notice)

    Subject: Final Notice β€” Invoice #[NUM] Requires Immediate Payment Tone: Formal, mention collections referral

    DSO Benchmarks by Industry

    | Industry | Good DSO | Average DSO | Poor DSO | |----------|----------|-------------|----------| | SaaS / Software | <30 | 30-45 | >60 | | Professional Services | <35 | 35-55 | >70 | | Manufacturing | <40 | 40-60 | >75 | | Construction | <45 | 45-70 | >90 | | Healthcare | <35 | 35-50 | >65 |

    Bad Debt Forecasting Model

    Estimate write-off probability by aging bucket:

  • Current: 1-2% default rate
  • 31-60 days: 5-8%
  • 61-90 days: 15-25%
  • 90-120 days: 30-50%
  • 120+ days: 50-80%
  • Apply to outstanding amounts for expected loss provision.

    Cash Application Rules

    1. Exact match β€” Payment amount matches one open invoice exactly 2. Combination match β€” Payment matches sum of multiple invoices 3. Short payment β€” Payment < invoice amount β†’ flag for dispute/deduction review 4. Overpayment β€” Payment > invoice β†’ apply to oldest open balance or issue credit 5. Unidentified β€” No match found β†’ hold in suspense, research within 48 hours

    Output Format

    When generating AR reports, include:

  • Total AR outstanding
  • Aging distribution ($ and %)
  • Top 10 overdue accounts by priority score
  • DSO current vs. 3-month trend
  • Estimated bad debt exposure
  • Recommended actions (who to call, what to send)

  • Take It Further

    This skill handles AR analysis and workflows. For full financial operations automation:

  • AI Agent Context Packs β€” Industry-specific agent configs for Fintech, Professional Services, SaaS, and more ($47 each)
  • AI Revenue Leak Calculator β€” Find where your business is losing money to manual processes
  • Agent Setup Wizard β€” Get your AI agent configured in minutes
  • Built by AfrexAI β€” operational AI for businesses that run on results, not hype.