Case Study + Simulation Illustrative simulation · fictional data

Leveraging AI for CX Efficiency — The Simulation

See self-service deflection and AI agent assist side by side.

Read the real case study and results

The challenge

Inefficiencies and delays in issue resolution due to a lack of automation and AI tools.

The approach

Self-service built from data on common issues
AI agent assist for summaries and drafts
Humans own decisions on complex tickets

Interactive step-through

AI agent assist and self-service

Illustrative simulation · fictional data

A re-enactment of how the approach works in practice. Names, tickets and numbers on these screens are fictional; the real outcomes are described in the case study above.

Step 1 of 3

Status:Searching

Customer searches the help center

AI assistHelp center · search

Simulated

“how do I change the billing email on my account”

Self-service content was prioritized from data on the most common customer issues.

Signals to watch

Deflection rate: Confirmed helpful, no ticket
Average resolution time: Trend
CSAT: Trend

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