Oversee automates support investigations with n8n

Context

Oversee, formerly known as FairFly, is a travel technology company that helps travel management companies streamline operations and optimize travel spend. Its platform includes air and hotel re-shopping capabilities that can save large enterprises between 2% and 5% of their travel budgets, and the company is also expanding into agentic AI for travel support.

Oversee works with major travel management companies like BCD Travel, American Express Global Business Travel, and Altour, and provides services through these partners for over 7,000 customers in 60 plus countries. With a business that is inherently operations heavy, Oversee’s teams must manage complex integrations, long customer onboarding cycles that often take three months plus, and ongoing support expectations that come with strict service levels.

As the company grew to around 60 employees, Oversee wanted a practical way to automate repetitive work without increasing headcount. n8n became the orchestration layer that could connect systems, support AI driven workflows, and turn manual processes into reliable automation.

Challenge

For Oversee, the biggest operational bottleneck was not always solving the issue itself. It was the investigation that happened before anyone could act. Support and operations teams had to jump across systems, look up the full history of a case, pull technical context, check account performance, and assemble all the relevant data before taking the next step. This kind of repetitive context gathering was a major waste of time and slowed down customer facing work.

At the same time, reporting demands were growing. Both the data team and operations teams needed to generate reports that pulled from multiple sources, including client facing reporting that supports implementation and go live. Doing this manually created friction and pulled skilled team members into work that did not require human judgment.

Oversee also operates in a conservative industry with older tech stacks. That environment increases the importance of clarity, reliability, and measurable productivity gains. Oversee needed automation that would work across legacy systems, support incremental improvements, and still allow humans to stay in the loop where needed.

Solution

Oversee uses n8n as a workflow backbone to support AI assisted operations. The team built n8n workflows so that when a service request comes in, AI can look for relevant information across the case database and assemble the technical and operational background into a structured report. With n8n orchestrating the steps, the operations team receives the context they need quickly, then decides on the next action.

Today, Oversee is using n8n as a co-pilot for operations, with a clear roadmap to go further. The goal is to extend n8n workflows beyond investigation into end to end automation, including communication with customers when a case can be resolved without a human. n8n is also central to Oversee’s reporting motion. The company uses n8n to generate many internal and external reports that require pulling data from systems that are not in one platform. Oversee even created a Notion based request flow where team members can ask for a report in plain language, then trigger n8n workflows to gather the data and generate the output.

Across teams, adoption is already meaningful. The development team builds the workflows in n8n, while end users benefit from the tools those workflows power. The entire operations team of eight uses the n8n powered tools, the data team uses n8n for reporting, and overall roughly 20 people, about a third of the company, use n8n enabled workflows in day to day work, with plans to expand that coverage further.

Results

Oversee’s biggest impact from n8n has been day to day productivity, especially in operations. By using n8n to automate investigation work, teams spend less time gathering context and more time actually resolving cases and moving implementations forward. That directly supports faster go lives and helps remove anything that slows revenue generation. The company is currently seeing a reduction of 50% in 1st response time on tickets, and the goal is to reach 70% reduction by the end of the year.

The company also saw a clear speed up in reporting. Internally, Oversee observed that workflows built with n8n can compress work that previously took far longer. In one example shared across the company, Oversee’s CTO demonstrated building reports in two to three hours that used to take two weeks to produce.

Just as importantly, n8n changed how teams think about what is possible. When people experience n8n workflows in action, they start noticing the small recurring tasks that waste time and become motivated to automate them. Oversee expects that effect to broaden across the organization as more n8n workflows are shipped and more teams request automation.