Built by others.
Worth knowing.

ElevenLabs runs its own support on an AI agent: 22,000 tickets a month, 60-second replies

By ElevenLabs · 14 Oct 2026

ElevenLabs moved its own customer support onto its ElevenAgents platform. The agent resolves more than 22,000 tickets a month and has cut response time from hours to about 60 seconds.

Company-reported: more than 22,000 tickets resolved per month, and response time down from hours to roughly 60 seconds.

Frontal's AI outbound system took Design Pickle from 10 to 58 demos in 14 days

By Alex Vacca (Frontal) for Design Pickle · 24 Sept 2026

Alex Vacca's GTM agency Frontal, which says Claude does about 90% of its work, mapped Design Pickle's lead flow and cut the steps that didn't help before automating anything. The rebuilt outbound system almost tripled weekly demos.

Agency-reported: 58 demos booked in 14 days (about 29 a week, up from about 10). AE calendars went from under 50% to 100% full and Design Pickle hired more AEs.

Novo Nordisk analyst built a text-to-SQL agent that frees up half a full-time role

By Novo Nordisk (Rare Disease Insights & Analytics) · 21 Sept 2026

A senior analyst on Novo Nordisk's Rare Disease Insights & Analytics team built an AI assistant himself that answers business questions in plain language directly on healthcare claims and prescription data.

The team estimates around 50% higher analytical efficiency and 50–70% less time spent on exploratory analysis and routine reviews. First answers arrive in under a minute, and roughly 0.5 FTE is freed up without new hires.

Danske Bank and Mastercard complete Denmark's first payment made by an AI agent

By Danske Bank og Mastercard · 21 Sept 2026

A customer asked an AI agent to book a coffee tasting, and the agent completed the booking and payment on its own using a Mastercard from Danske Bank. It is Denmark's first payment made by an AI agent.

Denmark's first completed payment made by an AI agent on real banking infrastructure.

SaaStr's AI agents booked 600 meetings and closed $2.7M from neglected leads

By Jason Lemkin (SaaStr) · 18 Sept 2026

Jason Lemkin's SaaStr runs with three humans and 20+ AI agents in daily production. The agents held 17,000 customer conversations and booked 600 meetings in 12 months, and revenue went from -19% to +47% year over year.

Self-reported: 17,000 conversations and 600 meetings in 12 months. Agentforce got a 72% open rate, closed $2.7M in deals reps never touched and nurtured $3.5M in pipeline. Amelia booked 614 meetings across 402,000 chats. 10K and QB together cost $257 a month.

Danish upper secondary schools give students an AI tutor that teachers control

By Rosborg Gymnasium & HF and Learnmark Horsens (with Miira) · 15 Sept 2026

Rosborg Gymnasium & HF in Vejle and Learnmark Horsens use the Danish AI tutor Miira to help students with written assignments. Teachers decide how the AI may help, and students' conversations with it can be shared with the teacher.

SaaS founder lost 56 customers after handing support to AI without a human escape route

By u/blazecore8 · 8 Sept 2026

A founder with about 700 paying customers moved most basic support to AI. Replies got faster, but cancellations rose. A cautionary case about where AI support should hand over to a human.

Self-reported: 56 customers cancelled after interacting with support. 31 of them complained about support or clearly did not get their issue solved. Replies went from 1-2 hours to seconds.

Novo Nordisk cuts clinical study documentation from 10+ weeks to 10 minutes

By Novo Nordisk (Waheed Jowiya, Louise Lind Skov) · Sept 2026

Novo Nordisk built NovoScribe, an AI documentation platform that writes regulatory-grade clinical study reports and other trial documents. According to Anthropic's case study, producing clinical study documentation went from more than ten weeks to ten minutes.

Self-reported via vendor: clinical study documentation reduced from 10+ weeks to 10 minutes, CSR writing time cut by 90%, and 95% fewer resources needed for device verification protocols. A complete study booklet and patient guide takes under a minute.

Hardware company automates 70-80% of customer emails with a photo-reading AI chatbot

By u/krimjibly · 30 Jul 2026

The owner of a hardware business used Claude to build a customer chatbot connected to a knowledge base, and an AI-driven automation for the production line. Most routine support emails no longer need a human reply.

Self-reported: roughly 70-80% of emails that used to be answered manually are now automated. Production runs faster and more units are made per hour.

Bridgewater's AI analyst does hours of investment research in minutes

By Bridgewater Associates (Brendan McManus, Michael Ran, Santi Weight) · 24 Jul 2026

Bridgewater Associates' applied AI team built PAT (Pocket Analyst Tool), an internal AI analyst that draws on the fund's 50 years of investment knowledge. It has been rolled out to hundreds of investors and does deep exploratory research in minutes that used to take hours.

Rolled out to hundreds of investors. Accuracy of the time-series search went from 50% to 90%, and research that took hours now takes minutes (self-reported).

ElevenLabs cloned its recruiter's voice so an AI agent preps every candidate

By Oscar Gibbon (ElevenLabs) · 16 Jul 2026

Oscar Gibbon from ElevenLabs' talent team built a voice agent that speaks with his cloned voice and answers candidates' common questions before the first interview. Recruiters then spend the actual conversations on more meaningful topics instead of repeating the same answers.

Less recruiter time on repetitive questions before calls. No hard numbers are given.

Developer sold a $700 QR ordering and loyalty app to a coffee shop, built mostly by Claude Code

By u/timhartmann7 · 18 Jun 2026

A web developer had Claude Code build a demo ordering app, branded it for three local coffee shops and walked in to show it. The first owner bought it within five minutes, and the app now runs in daily production.

Self-reported: sold for $700 (plus a permanent 50% discount at the shop). It has been stable in production, serving customers every day.

Norwegian police cut report-writing time by up to 80% with speech-to-text AI

By Politiet (Norwegian Police Service) · 4 Jun 2026

The Norwegian police use automatic speech-to-text, AI quality control of transcripts and voice-controlled cameras at crime scenes to reduce paperwork. Transcribing an interview went from 8-14 hours to a draft in minutes.

Transcription went from 8-14 hours to a draft in a few minutes, and report-writing time was cut by up to 80%. There is also less need for travel, paper and physical storage.

AI receptionist for a dental clinic captures new patients after hours

By u/Opening_Warthog_3453 · 26 May 2026

A developer noticed that a dentist was losing new patients because calls went to voicemail during lunch, in the evening and on weekends. He built an AI voice receptionist that answers the phone around the clock and books appointments.

The first month brought 3 confirmed new patients from calls that would otherwise have gone to voicemail.

Odense doctors test an AI scribe that writes the patient note during the visit

By Region Syddanmark (Odense Universitetshospital and Lokalpsykiatri Odense) · 15 May 2026

Region of Southern Denmark is testing an AI tool that listens to the conversation between doctor, patient and staff and drafts the journal note. A psychiatrist in Odense says it saves him three to four hours a week, while an emergency physician says the notes are not yet structured well enough to save him time.

Self-reported: psychiatrist Zoltan Barkanyi says it saves him up to half an hour per long conversation, or 3-4 hours a week. Emergency physician Søren Kabell Nissen, who otherwise spends about 10 minutes per note, says the tool does not yet save him time because the note lacks the expected structure and clinical language.

Selfpublishing.com replaced sales-manager call reviews with AI and added $500k in a month

By Chandler Bolt (Selfpublishing.com) · May 2026

Chandler Bolt, CEO of Selfpublishing.com, built an AI system in under a month that grades every sales call and coaches reps, starting the replacement of the company's sales managers with AI.

Self-reported: half a million dollars in added sales the previous month. It saves 10-30 hours a week across two sales managers and reviews more calls than a full-time reviewer could.

Copenhagen-area emergency departments roll out AI that reads X-rays for fractures

By Region Hovedstaden / Region Østdanmark · 29 Apr 2026

The Capital Region and Region Zealand are rolling out an AI algorithm that analyses X-rays for suspected fractures in emergency departments and urgent care clinics. It lets nurse practitioners and junior doctors decide more often on their own whether a patient can go home.

The algorithm agreed with the radiology report in 9 out of 10 cases. The two regions performed 191,000 suspected-fracture examinations in 2025, and six out of ten patients have no fracture. A similar solution in Region North Jutland cut average waiting time in emergency departments by one hour.

SEO with Claude Code: 50,000 Google clicks a month from one website

By Jono Catliff · 26 Apr 2026

In a long masterclass, Jono Catliff shows how he uses Claude Code to produce and optimize SEO content. He says the methods deliver 50,000 clicks a month from Google to a single website.

According to Catliff, the methods deliver around 50,000 clicks a month, roughly 1,500 a day, from one website. He also says the same tactics earned over $500,000 at his previous company.

Claude Cowork took over a stalled Google Ads campaign and landed a lead within 5 days

By u/JoePatowski · 24 Apr 2026

A marketing lead at a tech SaaS company with about $50k a month in Google Ads spend gave Claude Cowork full control of a campaign that had produced nothing in 1.5 months. The first, large lead came in after 5 days.

Self-reported: first lead (described as a big one) after 5 days of AI management, on a campaign with zero results in the previous 1.5 months.

OpenAI team shipped a product with zero lines of hand-written code

By Ryan Lopopolo (OpenAI) · 16 Apr 2026

A small OpenAI team spent five months building and shipping an internal beta of a software product where Codex wrote every line of code. Engineer Ryan Lopopolo describes how the engineers' job became designing the environment, the rules and the feedback loops the agents work inside, which he calls harness engineering.

About 1,500 pull requests merged in five months, an average of 3.5 PRs per engineer per day, and roughly a million lines of code. OpenAI estimates it took about 1/10 of the time of writing the code by hand (self-reported).

Schneider Electric's industrial copilot halves engineering time for production changes

By Schneider Electric (med H2E Power) · 16 Apr 2026

At Hannover Messe 2026, Schneider Electric showed its industrial copilot, built on Azure AI, and agentic manufacturing. According to the company, it is already delivering measurable results for customers.

Engineering teams report up to 50% time savings on configuration and documentation, and line changes take hours instead of weeks. At H2E Power, the platform has run over 6,000 hours of stable autonomous operation, and hydrogen costs have fallen by up to 10%, equivalent to around €500,000 a year for a typical 10 MW plant.

Claude Cowork did a founder's bookkeeping and tax prep and saved 6-8 hours

By JJ Englert · 8 Apr 2026

JJ Englert pointed Claude Cowork at a folder of tax documents and had it organise everything, build his bookkeeping and prepare a briefing for his accountant. He says it was the first year he didn't dread taxes.

Self-reported: about 6-8 hours of manual work saved, and better-organised material for his accountant than in previous years.

Solo founder runs his entire business through Claude Code in the terminal

By u/ColdPlankton9273 · 17 Mar 2026

An entrepreneur writes on r/ClaudeAI that he has dropped the chat app and runs his whole business through Claude Code. That includes the non-code work too: morning routine, CRM, content, leads and follow-ups. The post got over 800 upvotes and around 290 comments.

Aarhus BSS experiment: AI lifts weak students in exams but drags down the strongest

By Carsten Bergenholtz, Oana Vuculescu, Franziska Günzel-Jensen and Lars Frederiksen (Aarhus BSS, Aarhus University) · 12 Mar 2026

Four researchers at Aarhus BSS tested what happens when business students get a generative AI chatbot in a time-pressured case exam with no clear answer. Weak students improved and strong students got worse, so the grades converged and the exam stopped showing real differences in skill.

Low performers improved, often by copying chatbot output, while high performers did worse because they struggled to process the large amount of AI output under time pressure. The authors conclude that traditional assessments fail when GenAI masks differences in performance.

Personio's AI SDR booked 140 meetings in 7 days and cut rep research from 2 hours to 15 minutes

By Philip Lacor (Personio) · 7 Mar 2026

Under CRO Philip Lacor, HR platform Personio (400-person sales team) went from casual LLM use to 400+ AI assistants in six months. Its AI chat SDR and research assistants measurably sped up pipeline.

Reported: Nia booked 140 meetings in 7 days across 200,000 website sessions. SDR research time fell from 2 hours a day to 15 minutes and pipeline per FTE roughly doubled.

Norway's wealth fund uses Claude to screen every new investment for ESG risk within 24 hours

By Norges Bank Investment Management (NBIM) · 26 Feb 2026

Norges Bank Investment Management, which manages Norway's roughly 2 trillion dollar oil fund, uses Anthropic's Claude to screen every company on its first day in the equity portfolio. Within 24 hours, the AI flags possible links to forced labour, corruption or fraud.

All new portfolio companies are screened within 24 hours of investment (the fund holds more than 7,200 companies). Self-reported via vendor: employees save more than 20% of their time each week on AI-assisted tasks, with 600+ active users in the first two months.

ChatGPT-written appeal overturned an insurer's early discharge of a 90-year-old mother

By u/Marathon2021 · 10 Feb 2026

When Kaiser wanted to send a 90-year-old woman home alone weeks after hip surgery, her son had ChatGPT draft the discharge appeal. The appeal was approved and she got more time in rehab.

Self-reported: the discharge appeal was approved and his mother got more time in care.

Stripe's 'Minions' agents write more than 1,000 merged pull requests a week

By Stripe (Alistair Gray) · 9 Feb 2026

Stripe built its own coding agents, called Minions, that take a task from a Slack thread and deliver a pull request that passes CI and is ready for review. Each week more than a thousand merged PRs are written entirely by Minions; engineers review them but write none of the code.

More than 1,000 pull requests merged each week are produced entirely by Minions (self-reported by Stripe). Every change is still reviewed by a human.

TALT: Danish municipalities test AI that writes care documentation from speech

By Københavns, Aarhus og Aalborg Kommune with KL and Systematic · 4 Feb 2026

After two years of testing in municipal health and elderly care, the TALT project shows that AI can be a valuable aid when nurses and care staff write documentation. Copenhagen, Aarhus and Aalborg led the project with Systematic, but the solution needs a legal basis before it can be used in normal operations.

The qualitative conclusion is that the AI is a valuable support for documentation and frees up time for citizens. The source does not report time savings in numbers, and the project notes that a legal basis is still missing.

OpenAI's internal data agent takes employees from question to insight in minutes

By OpenAI (Bonnie Xu, Aravind Suresh, Emma Tang) · 29 Jan 2026

OpenAI built an internal data agent that teams in engineering, data science, go-to-market, finance and research use to answer data questions. The agent finds the right tables itself, runs SQL and writes notebooks and reports, so an analysis takes minutes instead of days.

Analyses go from question to insight in minutes instead of days (self-reported). The data platform behind it serves more than 3,500 internal users. No measured time savings are given.