Customer support · Production

Oversee automates case investigation and reporting with n8n, cutting first response time by 50%

The problem

Oversee's support and operations teams spent significant time on repetitive context gathering — jumping across systems to assemble case history and technical background before they could act — while growing reporting demands pulled skilled team members into work that did not require human judgment.

Workflow diagram · grounded in source

Service request received

trigger

“when a service request comes in, AI can look for relevant information across the case database”

AI gathers and assembles case context

ai_action

“AI can look for relevant information across the case database and assemble the technical and operational background into a structured report”

Operations team reviews and acts

human_review

“the operations team receives the context they need quickly, then decides on the next action”

Plain-language report request via Notion

trigger

“Oversee even created a Notion based request flow where team members can ask for a report in plain language”

N8n gathers data and generates report

output

“trigger n8n workflows to gather the data and generate the output”

Reported outcome

n8n reduced first response time on tickets by 50% (with a target of 70%) and compressed report production from two weeks down to two to three hours, with roughly 20 people — about a third of the company — using n8n-enabled workflows daily.

Reported metrics

1st response time on tickets50%

1st response time reduction target70%

Report production time (current)two to three hours

Report production time (previous)two weeks

Show all 7 reported metrics

1st response time on tickets50%

1st response time reduction target70%

report production time (current)two to three hours

report production time (previous)two weeks

employees using n8n workflowsroughly 20 people

operations team userseight

context gathering and resolution timeteams spend less time gathering context and more time actually resolving cases

Reported stack

n8nNotion

Source

https://n8n.io/case-studies/oversee/

Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

n8n reduced first response time on tickets by 50% (with a target of 70%) and compressed report production from two weeks down to two to three hours, with roughly 20 people — about a third of the company — using n8n-en…

What tools did this team use?

n8n, Notion.

What results were reported?

1st response time on tickets: 50%; 1st response time reduction target: 70%; Report production time (current): two to three hours; Report production time (previous): two weeks (source-reported, not independently verified).

How is this customer support AI workflow structured?

Service request received → AI gathers and assembles case context → Operations team reviews and acts → Plain-language report request via Notion → N8n gathers data and generates report.