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Finance & PlanningFitnessSalon

AI Collections Assistant

Prioritize overdue invoices and draft follow-ups.

Reviews outstanding invoices, due dates, customer history, and payment patterns to prioritize collections and draft follow-up messages.

collectionsaccounts-receivableinvoicescash

Planning disclaimer

These workflows are for planning, forecasting, and decision support only. They are not accounting, tax, legal, payroll compliance, or financial advice.

What you need to build this

Connect these tools, give the AI this data, expect these outputs.

1

Connect

APIs & tools to set up

OAuth, API keys, or webhooks depending on the tool.

2

Gather

Data sources to pull from

3

Give to AI

Inputs per run

  • All open invoices with amount, age, and due date
  • Customer payment history (average days to pay)
  • Prior follow-up thread history if available
  • Business tone guide for collection messages
  • Priority rules (e.g., >$500 and >30 days = urgent)
4

Expect

AI outputs

  • Prioritized collections queue with urgency score
  • Draft follow-up email per invoice (escalating tone by age)
  • Summary of total AR and aging buckets
  • Flag for disputes or credits needed before contacting
  • Suggested call vs email channel per customer
BeginnerSemi-automatedHigh value3 no-code · 3 low-code · 4 custom options

Business problem

Outstanding invoices pile up because owners avoid awkward collection conversations — cash sits in AR while they focus on delivery work.

Expected outcome

Weekly prioritized collections list with suggested follow-up emails ranked by amount, age, and customer payment history — drafts ready for owner approval.

Who it's for: B2B service businesses and clinics with net-30 invoicing and $10K+ in outstanding AR at any time.

Required data sources

What data goes into the AI

  • All open invoices with amount, age, and due date
  • Customer payment history (average days to pay)
  • Prior follow-up thread history if available
  • Business tone guide for collection messages
  • Priority rules (e.g., >$500 and >30 days = urgent)

What the AI should output

  • Prioritized collections queue with urgency score
  • Draft follow-up email per invoice (escalating tone by age)
  • Summary of total AR and aging buckets
  • Flag for disputes or credits needed before contacting
  • Suggested call vs email channel per customer

APIs needed to automate this

System behavior

  • Weekly batch — not real-time on invoice creation
  • Draft-only emails — owner must approve and send
  • Escalates tone at 30/60/90 day marks per policy
  • Skips customers with open disputes or credit memos
  • Collections support only — not legal debt collection

No-code vs low-code vs custom

No-code

Lowest effort

Non-technical owners, quick validation, under 50 runs/day

3 options listed

Low-code

Medium effort

Operators comfortable with Zapier/n8n, need more control

3 options listed

Custom build

Highest effort

High volume, custom logic, or strict data privacy requirements

4 options listed

No-code optionsLow-code optionsCustom build stack
QuickBooks overdue report + ChatGPT draft emailsn8n weekly: QBO AR aging → OpenAI → Gmail draftsQuickBooks/Xero API AR query
Zapier: QBO overdue trigger → GPT → Gmail draftMake.com overdue invoice workflowCustomer history join from CRM
HubSpot sequences with AI-generated copyXero + GPT collections assistantOpenAI with escalating tone templates
Gmail draft API — never auto-send without approval

Start with no-code to validate the workflow. Move to low-code when you hit rate limits or need branching logic. Custom build when volume, privacy, or integration depth requires it.

Step-by-step implementation

  1. 1Connect accounting system and email
  2. 2Define aging buckets and escalation tone rules
  3. 3Pull open invoices weekly
  4. 4Generate prioritized queue and drafts
  5. 5Owner reviews and sends — track responses in spreadsheet
  6. 6Measure DSO monthly to tune priority rules

Risks and limitations

  • Aggressive collection tone can damage client relationships
  • AI may contact wrong person if CRM data is stale
  • Legal collection limits vary — this is friendly AR follow-up only
  • Writing off bad debt still requires human judgment

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