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Emergency Motor Breakdown · 50-agent pilot · 12 weeks

30% repeat reduction at winter peak.

Winter peak was driving demand through the roof — and the early analytics showed something unexpected: high customer confusion, mixed messages, and repeats compounding into escalations. MOJO-CX found the confusion, fixed the scripts, and the repeats fell off a cliff.

A 12-week pilot across ~50 agents proved the operating-model change. By the end of the period, repeats were down 30%, complaints were down 30%, and customer-experience indicators had moved 34% positive. The headline was the FTE saving — but the deeper win was the audit-ready evidence trail.

~100 FTE
Saved in repeats and escalations
~£2.5m
Per-annum forecasted savings
+34%
Positive CX indicators

An emergency motor-breakdown operator was experiencing extreme demand volumes through the winter peak. Initial speech-analytics work flagged something unexpected: high prevalence of customer confusion, contradictory information delivered between agents, and repeat contact rates that compounded into formal escalations and significantly inflated AHT.

Customers were already in a stressed emotional state (broken-down vehicle, family in the car). The conversational confusion turned each contact into a CSAT hit and an operational tax — and complaints were the symptom, not the cause.

  • Identified the confusion source. Analyst AI Auto Discovery clustered the contradictory messaging by topic, queue and agent. The pattern was visible within days.
  • Deployed script changes to ~50 agent pilot for 12 weeks. Targeted re-engineering of the conversation flows that were generating the repeats.
  • Adherence monitored via speech analytics. Leader AI scored 100% of pilot conversations against the new flows, then pushed prompts when non-adherence was detected.
  • Decomposed complaint AHT. The complaint-journey breakdown showed exactly which conversational moments were driving the 200+ second AHT inflation on complaint calls.
  • ~100 FTE saving from repeat reduction
  • ~£2.5m per annum in forecasted operational savings
  • +34% increase in positive customer-experience indicators
  • 30% reduction in complaints directly attributable to the new flows
Customers becoming confused and escalating are a significant demand driver. The contradiction was sitting in our own data — MOJO-CX found it in 12 weeks, and the winter peak became the easiest winter peak the operation had ever run.
How Analyst AI + Leader AI worked together

Analyst AI found the confusion. Leader AI coached the fix into 100% of conversations.

Analyst AI Auto Discovery read every conversation for the contradictory-message patterns that were quietly inflating AHT and complaints. Leader AI Auto QA then scored adherence to the new flows on 100% of calls — closing the loop between "we know what's wrong" and "we know the fix is landing".

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