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Invoicing

How to Automate Invoice Reminders With AI (and Actually Get Paid)

The Ootto Team · 3 min read · June 10, 2026

How to use this

1Connect Claude to Instagram

Connect Claude to your Instagram account

One click opens Claude with the connector already filled in - sign in, authorize, and it's live. No key to copy, no setup outside your browser.

https://mcp.ootto.ai/mcpConnect
Competitor researchIdea generationReel creationAuto-reply to comments

2Add the skills

Once Claude can reach your account, give it the methods to work with. Clone the free repository and Claude discovers the skills automatically.

git clone --depth 1 https://github.com/Ootto-AI/claude-content-skills.git && bash claude-content-skills/install.shBrowse all 30 skills on GitHub

Instructions: how to connect your Instagram account to Claude

Connect above does this for you. If Claude ever opens the dialog empty, here's exactly what goes where:

Claude's Add custom connector dialog, with the connector name and MCP URL filled in
Connect Instagram to Claude

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Chasing unpaid invoices is the work nobody starts a business to do. It's awkward, it's easy to forget, and the longer you wait, the harder it gets to collect. The fix isn't working harder on follow-ups — it's removing yourself from them. Here's a simple cadence that works, and how to put it on autopilot with AI.

Why invoices go unpaid (it's usually not the money)

Most late payments aren't refusals — they're drift. The invoice lands in a busy inbox, gets mentally filed under "later," and nothing reminds the client until you do. The businesses that get paid fastest aren't more aggressive; they're more consistent. They follow up on a schedule, every time, without it depending on someone remembering.

That consistency is exactly what's hard to do by hand and easy to automate.

The reminder cadence that works

You don't need a complicated dunning system. A three-touch cadence, anchored to the due date, covers the vast majority of cases:

1. The polite nudge (0–7 days after due)

Friendly, assumes good faith. People miss dates; this is a gentle reminder, not an accusation.

Hi [Name] — just a quick note that invoice [#] for [amount] was due on [date]. If it's already on its way, thank you! If not, here's the link to pay: [link].

2. The firm reminder (8–21 days)

Direct, still professional. State the overdue amount and make paying effortless.

Hi [Name] — invoice [#] for [amount] is now [X] days overdue. Could you let me know when we can expect payment? You can pay here: [link].

3. The final notice (22+ days)

Clear about next steps, without burning the relationship.

Hi [Name] — invoice [#] remains unpaid [X] days past due. Please arrange payment by [date] to avoid [late fee / pause in work]. Pay now: [link].

Three templates, triggered at roughly +7, +14, and +21 days past due, will resolve most late invoices before they become real problems.

Where AI changes the game

A cadence is only useful if it actually runs. This is where doing it manually breaks down — and where AI earns its place:

  • It triggers on time, every time. Reminders fire on the due-date schedule without you tracking who owes what.
  • It writes in your voice. Instead of robotic templates, AI drafts each reminder to match how you talk to clients — warmer for long-standing customers, firmer for chronic late payers.
  • It reads the replies. When a client responds, AI can classify it — "paid," "will pay on [date]," "disputing" — and route the ones that actually need you, while handling the routine acknowledgements itself.
  • It stops when paid. Connected to your payment tool, it knows when an invoice clears and cancels the remaining reminders automatically — no awkward "please pay" after they already did.

The result is the consistency of a collections process without the cost or the discomfort of running one.

Build it, or make it gone entirely

You've got two broad options:

  1. Build it yourself with a workflow tool (Zapier, Make, n8n) — connect your invoicing app, write the templates, set the delays, and maintain it. Workable if you like building. See our Zapier alternatives guide for the options.
  2. Let an autopilot handle it. Ootto connects to your email and payment tools, learns your tone, and runs invoice follow-up as one of its built-in jobs — drafting reminders, reading replies, and stopping when an invoice is paid. Nothing to build.

If you already enjoy maintaining automations, option 1 is fine. If invoice-chasing is exactly the kind of work you want gone, option 2 removes you from it entirely.

The bottom line

Late payments are rarely a pricing or product problem — they're a follow-up problem. A consistent three-touch cadence fixes most of it, and AI makes that cadence run without your attention. Set it up once, and "chasing invoices" stops being a thing you do.

Route A: do it yourself

Start with the exact free skill for this outcome

MIT, no account, no email. Install first, then run the command for your account.

For chasing overdue invoices: Invoice Chaser

Prompt

git clone --depth 1 https://github.com/Ootto-AI/claude-invoice-skills.git && bash claude-invoice-skills/install.sh

Installs the free MIT Invoice Skills bundle into ~/.claude/skills in one shot.

Prompt

/invoice-chaser [invoice number, amount, due date, days overdue]

Drafts the right payment reminder, tone matched to how late the invoice is.

Route B: let Ootto run it

Ootto replicates this on autopilot

Open the dashboard, connect once, then let the pipeline handle research, production, and lead replies.

1Sign in

Open the connector dashboard

Go to /content/login, sign in, and open your Ootto content dashboard.

Ootto content dashboard landing screen after sign in
2Connect

Add Ootto to Claude

Use the one-button Add flow so Ootto appears in Claude's Connectors panel.

The connector card with Add Ootto to Claude button
3Verify

Claude shows the connector

The connector lands in Claude's Connectors settings, confirming Ootto is wired.

Claude Connectors screen showing Ootto connector setup
4Auto onboarding

Board reads back your context

Your audience, pillars, voice, and creator signals are filled from account context.

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5Research

What is actually working now

Ootto pulls what is moving in your niche and loads ranked examples in board.

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6Loop

Reels post, comments get answered

Finished reels publish to Instagram and comments are answered with public replies plus DM follow-ups.

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