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Case Studies

Each project below spells out who it's built for and which tedious work it removes. These are automation systems LP has already built and currently runs — not concept demos; near-duplicate versions have been consolidated into the most complete one.

Screenshot of the AI smart inbox manager workflow on the n8n canvas, showing the email classification and two-way reply nodes wired together.
A real workflow, captured in our demo environment. The company name shown is a fictional test account, not a client.

Built for sales and support teams handling a high volume of business email.

AI Smart Inbox Manager

Email doesn't sort itself. So someone reads every one, decides whether it matters, decides whether to reply — every morning, before anything else gets done. On a busy day the important customer email is in there somewhere, and you find it on Thursday. This workflow takes over the triage. The inbox stops being the first thing you fight.

Screenshot of the AI sales pipeline bottleneck detection workflow on the n8n canvas, showing the deal-scanning and stall-detection nodes wired together.
A real workflow, captured in our demo environment. The company name shown is a fictional test account, not a client.

Built for companies whose sales team manages a large volume of deals.

AI Sales Pipeline Bottleneck Detection

Deals don't fall through loudly. They sit at one stage for two weeks. Three. Nobody touches them. Reps are busy chasing the new thing, so the old one goes quiet, and by the time someone remembers it, the customer has signed elsewhere. This workflow watches every deal, pulls out the ones stuck too long, and ranks them by value and urgency. You see what's slipping.

Screenshot of the lead follow-up automation workflow on the n8n canvas, showing the lead-logging and scheduled follow-up nodes wired together.
A real workflow, captured in our demo environment. The company name shown is a fictional test account, not a client.

Built for sales teams with more leads than they can consistently follow up.

Lead Follow-up Automation

Someone asked. You remember. Then nothing. With twenty or thirty open inquiries at once, tracking who's owed a reply and how long they've been waiting from memory, you will drop one — and it's usually the one that would have closed. This workflow logs every new lead and tells you when it's time.

Screenshot of the AI revenue reconciliation workflow on the n8n canvas, showing the two-system comparison and leak-classification nodes wired together.
A real workflow, captured in our demo environment. The company name shown is a fictional test account, not a client.

Built for design, consulting, and agency firms that bill by project or contract.

AI Revenue Reconciliation (Catch Missed Billing)

One test run surfaced seven missed charges, over $15,000 in total. (Test data.) The ways it leaks are boring: an invoice never sent, extra work never charged, a discount that expired months ago and still applies. Nobody reconciles it, because what you did and what you billed sit in two systems and comparing them takes days. Who has days? This workflow reconciles them and records what's missing.

Want to see what this looks like applied to your industry?