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Case Study: Fresh Clean Threads holds 91% CSAT while automating tickets with Siena

Fresh Clean Threads Case StudySourced & dated by Case Study Desk
Key facts · TL;DR
Company
Fresh Clean Threads
Industry
Apparel
Challenge
Freeing agents from repetitive macro work without sacrificing satisfaction or brand voice.
Headline result
Fresh Clean Threads maintained 91% CSAT across AI and human agents while automating 18% of incoming tickets and reaching a 7.3-minute average resolution time for Tier 1 queries with Siena.

Key results

91%
CSAT maintained
across Siena and human team
18%
Of incoming tickets automated
7.3 min
Average Tier 1 resolution time

The challenge

Fresh Clean Threads wanted to free its support agents from clicking through repetitive macros so they could focus on higher-value work. Prior tools forced the team to pick from preset personality types rather than capturing the brand's actual voice.

The solution

Fresh Clean Threads deployed Siena, an agent it named 'Taylor,' which learned the brand voice from the company's website. Siena handled repetitive Tier 1 tickets while human agents took on more complex, higher-touch work.

Our CSAT stayed at 91%-and that includes both Siena and our human team. This isn't about 80% automation.

SC
Sydney Chestler
Director of Customer Experience, Fresh Clean Threads

The results, in context

Fresh Clean Threads reported maintaining 91% CSAT across both Siena and its human team while automating 18% of incoming tickets. Average resolution time for Tier 1 queries reached 7.3 minutes, with agents freed to handle higher-level work.

Products used

Siena Siena AI