# How Fullscript Uses n8n + AI to Save Hundreds of Hours Every Month

## Метаданные

- **Канал:** n8n
- **YouTube:** https://www.youtube.com/watch?v=u5LyUOF6C0c
- **Дата:** 25.11.2025
- **Длительность:** 2:55
- **Просмотры:** 2,178

## Описание

Discover how Fullscript uses n8n and AI to automate processes across multiple teams. From reducing manual tasks to scaling operations, this is a real look at how an enterprise puts automation into practice and implement AI across the organisation.

Learn more about how Fullscript uses n8n and empower their teams with AI in our dedicated case study: https://n8n.io/case-studies/fullscript/

## Содержание

### [0:00](https://www.youtube.com/watch?v=u5LyUOF6C0c) Segment 1 (00:00 - 02:00)

Even if everything is like clean and nice and logs are available, it takes like few hours to days to just go through them, investigate all the sources. — But now it's like 5 10 minutes. — Our mission is to empower practitioners for a whole care solutions. Your health is a journey and we want to help your practitioners to be part of this journey like across this journey. how to educate them, how to bring the supplements, how to help them with the lab diagnosis. I'm Sahar, director of internal AI at full script. My role is to bring AI solutions, tooling, capabilities for the whole company. We are human affairs, AI empowered company and we want to make sure every employees we have are empowered with AI. We wanted to see how we can empower our employees to use it. Not only engineers but everybody get benefits of these new capabilities that make their day-to-day life easier. NM was a tool that we realized, oh it's good. It's low code, no code. We can help everybody on board. Doesn't matter who you are, what technicality you have. We wanted to make sure like people use N as well just like get comfortable. We are human first AI empowered and this is how we empower people. In my previous works I used to work in cyber security and fraud and trust. In previous companies I built similar solutions took like maybe two to six month of like few engineers to design it to find it to bring the logs to parse the logs. Even if everything is like clean and nice and logs are available, it takes like few hours to days to just go through them like parse them investigate all the sources. But now it's like 5 10 minutes. It's incredible. One of the workflows we did like again like being a compliance like sometimes like when uh our customer call they share like some information that we don't want to keep them. We don't need those information. We don't want to keep them but is now recorded either delete it there or like regularly a group of folks go just listen to the call and then we build a workflow to do that. I want to say thousand hours per year. Safe. — That's incredible — because you have to listen and then like properly listen like and like you delete like a lot of call and it's a friction as well. If we can do it automated and it's that's why I really like it like we automate that the job that we have to do and we are passionate about it but in the same time lots of our amazing supporting can do lots of other things that they don't need to like really listen to those conversation. —

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*Источник: https://ekstraktznaniy.ru/video/15185*