Technology

Aug 19 ‘26

Reclaiming €1.2M a Year — Unified Enterprise Search for a Global Marketing Company

A global advertising and marketing company with 600+ employees was losing about €1.2M a year to fragmented search. With Computer for enterprise search unifying Salesforce, OneDrive, and SharePoint, reps save six hours a week and productivity rose 30%.

€1.2M

annual search waste addressed

6 hrs

saved per rep per week

30%

productivity boost

A global advertising and marketing company with 600+ employees was losing roughly 20% of its people's time — about €1.2M a year — to hunting for information across fragmented systems. After deploying Computer for enterprise search, reps save around six hours a week and productivity rose 30%.

Company

The customer is a global advertising and marketing company with more than 600 employees and worldwide operations. This case study is presented anonymously at the customer's request.

Challenge

The company's people were spending roughly 20% of their time searching for and retrieving information scattered across fragmented systems — Salesforce, OneDrive, SharePoint, and other enterprise sources. The fragmentation left teams without consistent context, and at an average employee cost of €61k, the company was losing approximately €1.2M annually to search-related inefficiency.

Solution

The company deployed Computer for enterprise search, which ingests and unifies data from Salesforce, OneDrive, and SharePoint to give employees an intelligent, enterprise-wide search experience — accurate context across every system in a single interface. In head-to-head tests, it was benchmarked to outperform Copilot and ChatGPT on accuracy and quality of responses.

Impact

Unifying search across the company's core systems turned lost time back into productive work:

  • Addresses roughly €1.2M a year in search-related inefficiency.
  • Six hours saved per rep every week.
  • 30% productivity boost across the team.
  • Unified answers across Salesforce, OneDrive, and SharePoint.
  • Benchmarked to outperform Copilot and ChatGPT in head-to-head tests.