All case studies

Enterprise IT services

Enterprise IT found 1,100+ annual hours to automate.

8Flow measured where service desk time actually went, then handed the team a ranked list of automations with annual hours attached.

Internal service desk and workplace technology workflows across core collaboration and device systems.

1,105 hrs
annual savings surfaced
across device lookup, knowledge surfacing, and spreadsheet automation
847 hrs
device lookup automation
annual savings from pulling device data directly into tickets
127 hrs
knowledge article surfacing
annual savings from surfacing the top five support articles
131 hrs
spreadsheet workflow automation
annual savings from replacing a manual spreadsheet process

The starting point

Before 8Flow

  • Leaders wanted to know which systems to consolidate to simplify the user experience.

  • Manual spreadsheet workflows clearly cost time, but nobody could say how much.

  • There was no evidence for which knowledge articles or automations would actually move productivity.

The findings

What 8Flow surfaced.

Every finding below comes straight from measured workflow data.

System simplification

Nine systems account for almost all work time.

84% of observed work time happened in nine core systems, which gave leaders a concrete starting point for consolidation.

  • Ticketing and knowledge tools took the largest share.
  • Spreadsheets exposed manual coordination work.
  • Device tools drove repeated lookup-and-transfer loops.
84%
work time in core systems
concentrated across nine applications

Case complexity

A third of cases drove 85% of the support hours.

8Flow unraveled the most complex cases hour by hour. Specific diagnostic and customer-instance workflows were inherently inefficient, ballooning resolution time across every system they touched. Simplifying those workflows became the single biggest efficiency lever.

  • About 35% of cases, the complex ones, consumed 85% of total ticket hours.
  • Hops into customer instances scaled time per case 3 to 5x and replies 2 to 3x, on every team.
  • Deep diagnostic workflows ran cases up to 1.7x longer and added time in every other system.
85%
of ticket hours from ~35% of cases
measured across the five biggest ticket categories

Next move

Stop making users chase device data.

Pulling device details straight into the ticket removes the lookup and copy/paste steps entirely.

  • 85% of users touch the device lookup path.
  • 32.6 hours of device-tool work measured in two weeks.
  • 13.6 of those hours were pure copy/paste.