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    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    AI AR Collections Engine

    1

    Prioritize overdue invoices, generate follow-ups, and flag collection risks.

    $7.90

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    See it in action

    You say

    Run the complete accounts receivable collections workflow on the attached receivables file.

    Analysis date: 2026-08-18

    Company policy: send a standard reminder at 1–30 days overdue, account-owner review at 31–60 days, and management review at 61+ days.

    Do not invent customer contacts, payment promises, dispute reasons, or legal rights.

    Return the complete package and clearly mark VERIFIED, INFERRED, and UNVERIFIED information.

    Your agent does

    Analysis date: 2026-08-18 Final status: REVIEW

    37 receivable records analyzed 4 records require data-quality review 6 accounts are HIGH priority 2 invoices are in dispute and separated from normal collections Currency totals are reported separately

    TOP ACTIONS

    1. HIGH — Account A

    64 days overdue Outstanding: USD 12,500 Action: management review Evidence: VERIFIED

    1. HIGH — Account B

    42 days overdue Outstanding: USD 4,800 Action: account-owner follow-up Evidence: VERIFIED

    1. REVIEW — Account C

    Missing due date Action: correct source data before aging Evidence: VERIFIED missing field

    FOLLOW-UP MESSAGE

    Subject: Payment status — Invoice INV-1042

    Hello,

    Our records show an outstanding balance of USD 4,800 for invoice INV-1042, which was due on 2026-07-20.

    Could you please confirm the expected payment date?

    Thank you.

    VERIFICATION

    Aging date stated: PASS Duplicate check: PASS Currency separation: PASS Priority traceability: PASS Unsupported claims: PASS Missing data: REVIEW

    FINAL STATUS: REVIEW

    Example figures are illustrative; actual figures come only from supplied data.

    What you get

    Prioritize overdue invoicesGenerate collection follow-upsAnalyze AR agingPrepare receivables reports

    About this skill

    AI Accounts Receivable Follow-Up & Collections Engine turns outstanding invoice data into a structured collection workflow. Upload a CSV, Excel file, or receivables table to identify overdue balances, prioritize accounts, detect data-quality issues, generate evidence-based follow-up actions, apply escalation rules, and produce a management-ready receivables report.

    The workflow checks duplicates, missing fields, conflicting payment data, aging buckets, currency separation, priority scoring, and unsupported claims before producing the final result. Every important finding is marked VERIFIED, INFERRED, or UNVERIFIED, with PASS, REVIEW, or BLOCK verification status.

    Built for B2B businesses, agencies, SaaS companies, consultants, service providers, and finance/admin teams that regularly need to follow up on unpaid invoices. It is not an accounting system and does not invent payment history, customer contacts, disputes, legal rights, or financial data.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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