A builder automated email triage, quote drafting, meeting follow-ups and invoice chasing for a US Midwest services firm, and published before-and-after hours, including what didn't work.

ResultAdmin time fell from 21 to 5 hours a week over a 4-week before/after; email triage alone went from 10 to 2 hours. First invoice reminder now goes out after 2 days instead of 11. No one was laid off (builder's own figures).

Asurion's finance team added a Copilot Studio agent to its invoice capture process. When an invoice gets stuck on an error, the agent works out the fix so the invoice can go through without a person.

ResultTouchless invoice processing rose from below 20% to more than 55% in the first week, and then to over 70%.

An in-house builder at a Kansas City multi-location retail and hospitality group set up an AI workflow that watches 20 Google Business Profiles, drafts a reply for each new review and emails it to one approver, who publishes with one click.

ResultResponse coverage went from virtually zero to 100% (August 2026 snapshot), with 450+ approved replies published by 30 Sep 2026. Most replies take 10–20 seconds to approve (their own figures).

When a landline or internet service is down, Telstra's agent checks if the customer qualifies, works out the refund, watches for the fix, then pays it out. That takes the job off 1,000+ call-centre staff.

ResultRefunds are worked out and paid automatically once service is back, which takes admin off 1,000+ staff.

Westpac plugged five AWS agents into the core of how it processes loans and cards.

ResultMore than 150,000 hours saved.

n8n runs lead collection, enrichment, content drafts and outreach; Claude researches and writes; Codex fixes the code.

ResultAbout 8 hours a week saved. About 60% of social posts are drafted by AI and checked before posting (their own figures).

Four agents handle content research, lead intake, competitor monitoring and newsletter first drafts. He kept the final writing and client replies human.

ResultArticles take about 90 minutes instead of 4 hours, and leads get a reply in under 2 hours (their own figures).

An agile coach built an 'AI operating system' with Claude Code: n8n pulls prospects from Apollo, reads their LinkedIn posts, has Claude write personal emails and loads them into Instantly.

ResultFinding and emailing prospects now runs without them, using 60–90% less AI processing per run.

A solo consultant runs lead response, content and admin with a set of AI agents costing about $160 a month.

ResultWon 41% of leads instead of about 23%, saved about 35 hours a week, and took on 2 more clients (their own figures).

Self-hosted n8n workflows handle research, first drafts and email triage, and drop everything into Notion. (Reported by a third-party blog.)

Result10+ hours a week saved for about $5 a month. Sorting email alone saves about 3 hours (their own figures).

Samsung SDS is building 'AI Agent Banking' for Woori Bank with more than 175 agents, about 90 of them due first.

ResultAbout 90 agents go live first, with 175+ planned.

Lewie uses n8n for content, client reports, lead routing and monitoring, Supabase as a shared database, and Claude for analysis and code.

ResultEight businesses run by one person, with AI doing the repeat work.

SoftBank built a multi-AI-agent platform on its telecom-specific generative AI and began verifying autonomous network operations.

ResultStill being tested. No results yet.

Australian mortgage platform Lendi used Amazon Bedrock to build agentic AI for the refinance journey, with multi-agent orchestration and guardrails to speed up applications.

ResultRebuilt in about 16 weeks, so loan applications move faster.

Felix builds with Claude Code and runs morning email summaries, content, client reports and social posts through self-hosted n8n.

ResultAbout 15 regular tasks run on their own, for roughly €150–300 a month in tools.

An n8n agent reads replies to cold emails and answers with a tailored reply and a booking link, carrying on the thread until the lead books or says no.

ResultReplies in under 90 seconds instead of 3–6 hours, and 9 extra good leads in 2 weeks (their own figures).

An n8n workflow pulled company signals like funding, new hires or launches, and added 1-2 personal lines to each email.

Result900 emails, 6% replied, and 10 good meetings booked (their own figures).

Five daily n8n workflows search the web for happy-hour specials and publish them to the database behind the site.

Result58 hours saved in a week, for about $36 a month in running costs (their own figures).

Air India was one of the first airlines on Agentforce. Its agents handle a class of refunds from start to finish.

ResultRefunds that took days now take hours.

Australian energy comparison service Zembl uses Relevance AI agents to follow up and qualify leads around the clock.

Result30% more customers signed, with sales cover around the clock.

Australian payments company Send uses Relevance AI agents to take repetitive work off the team.

Result40 hours saved every week.

A Reddit user shared an n8n agent that books appointments over WhatsApp, sends confirmations and reminders automatically.

ResultBooks, confirms and reminds automatically. The builder shared no numbers.

A builder automated Google review management for a multi-location US restaurant franchise: new reviews are pulled in, sorted by sentiment, answered with context-aware replies, and negative ones are flagged for the owner.

ResultEvery review answered within 24 hours; review work went from hours a week to about 15 minutes checking a dashboard (their own figures).

Food brand Huel used n8n to plug AI into its real processes instead of standalone chat tools.

Result1,000+ hours of manual work saved in nine months and about £100K of software dropped.

Gaming company Koralplay used n8n to unblock payments and reply to customers automatically.

Result70% of payment tickets handled automatically in one market. Each went from 10–15 minutes to about 70 seconds.

Aircraft firm Field Aerospace uses n8n and AI to read 50+ page solicitations and draft responses.

ResultA first draft that's 80% done in about 25 minutes instead of two weeks, and about $30K a year less in software.

Travel tech firm Oversee uses n8n to gather case history and context before an agent replies.

ResultFirst replies 50% faster, aiming for 70%.

Founder David runs data tool Formula Bot alone. He moved AI and data workflows from custom code into n8n.

ResultSaves 20–30 hours a month on work that would normally need a bigger team.

BeGlobal could only make about 50 offers a year because picking products from its huge catalogue was slow. A consultant built it in n8n with AI.

ResultThe team can now send 10 times as many offers.

When a call is missed, the system texts back within 60 seconds, an AI qualifies the job by SMS and books it into the calendar.

Result£3,800 recovered in week one and £14,200 in month one, from 22+ missed calls a week (their own figures)

The agent reads every quote request email. If details are missing it replies right away asking for them; if not, it texts the mechanic that a quote is ready to prepare.

ResultOwner estimated over $10,000 a year recovered from leads that used to drop off (their own figures)

A busy restaurant was slammed with calls about hours, menu and bookings. A voice agent built with n8n now answers those, and staff handle exceptions.

Result20-30 staff hours saved every week (their own figures)

The owner of a bar with golf simulators and axe throwing used Claude to plan and Claude Code to build n8n workflows for sales reports, food costs, scheduling and events.

Result80+ automations in 28 days, replacing 15–20 hours a week of manual work (their own figures).