Overview
- Skill Key
- 1kalin/afrexai-accounts-receivable
- Author
- 1kalin
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/1kalin/afrexai-accounts-receivable
- Latest Commit SHA
- 4821de8e054f3fbd86a78e1993a9a65dcd2818c4
Accounts Receivable Manager
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 Afrexai Accounts Receivable 技能。 若已安装,则直接安装 Afrexai Accounts Receivable 技能。
# 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** — Bucket outstanding invoices by 0-30, 31-60, 61-90, 90+ days with risk scoring 2. **Collection Priority Queue** — Rank overdue accounts by amount × days × risk for optimal follow-up order 3. **Payment Reminder Drafts** — Generate professional escalation emails (friendly → firm → final notice → collections) 4. **Cash Application Matching** — Match incoming payments to open invoices with variance handling 5. **Bad Debt Forecasting** — Predict write-offs using historical payment patterns and aging trends 6. **DSO Tracking** — 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 — what should we chase first?" - "Draft a 60-day overdue reminder for [client name]" - "Our DSO is 47 days — 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 → collections/write-off review | ## Collection Priority Formula ``` Priority Score = (Invoice Amount × 0.4) + (Days Overdue × 0.3) + (Customer Risk Score × 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] — Payment Due Today Tone: Friendly, informational ### Day 7 (1 Week Overdue) Subject: Friendly Reminder — Invoice #[NUM] Past Due Tone: Warm but clear ### Day 30 (1 Month Overdue) Subject: Payment R...
# Accounts Receivable Manager Automate AR aging analysis, collection prioritization, payment follow-ups, and bad debt forecasting with your AI agent. ## Features - **AR Aging Reports** — 0-30, 31-60, 61-90, 90+ day buckets with risk scoring - **Collection Priority Queue** — Rank overdue accounts for optimal follow-up - **Payment Reminder Escalation** — 5-stage email templates from friendly to final notice - **Cash Application** — Match payments to invoices with variance handling - **DSO Tracking** — Industry benchmarks for Days Sales Outstanding - **Bad Debt Forecasting** — Predict write-offs from aging trends ## Why This Matters - Average SMB has $84,000 in outstanding receivables - 1 in 4 invoices are paid late - Every day of DSO improvement = real cash flow impact - Manual AR processes cost $15-$25 per invoice to manage ## Quick Start Install this skill in your AI agent, then ask: - "Run an AR aging report" - "Prioritize our collection queue" - "Draft a 60-day overdue reminder for Acme Corp" - "What's our DSO trend?" ## Take It Further For full financial operations automation, check out: - **[AI Agent Context Packs](https://afrexai-cto.github.io/context-packs/)** — Industry-specific configs for Fintech, Professional Services, SaaS ($47 each) - **[AI Revenue Leak Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/)** — Find where manual processes drain your revenue - **[Agent Setup Wizard](https://afrexai-cto.github.io/agent-setup/)** — Get configured in minutes Built by [AfrexAI](https://afrexai-cto.github.io/context-packs/) 🖤💛
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