Overview
Explosive growth across voice, chat, email, and social channels left this global contact center operator juggling multiple platforms: Genesys Cloud for routing, Salesforce Service Cloud for case management, and NICE WFM for workforce planning. Siloed data made it nearly impossible to trace a customer interaction end to end or spot the hidden detours, mis routes, duplicate tickets, and manual concessions, that were inflating cost per contact and eroding Net Promoter Score.
A 60 day deployment of mindzie process intelligence stitched together IVR events and CRM case data to expose the true flow of every interaction. By pairing discovery with always on alerts, the contact center shifted from reactive firefighting to proactive service excellence.
Business challenge
Twenty five manual queues and no end to end view
Fragmented data and more than 25 manual work queues meant that even minor routing hiccups spawned duplicate cases and escalations, inflating cost per contact and eroding Net Promoter Score.
mindzie ingested 12 months of interaction data: Genesys CDR tables, Salesforce Case and Task objects, and NICE QA results. Analyses focused on cycle time (average handle time and time to resolution), rework and loops, compliance and SLA, and quality score adherence. Real time alerts were embedded in Microsoft Teams and email so supervisors could intervene before targets were missed.
Key analyses
The detour and the bounce
A three step detour on 18% of calls
mindzie’s journey map showed a three step detour, IVR mis route to manual transfer to queue reassign, on 18% of calls, adding 2.3 minutes each. A routing table fix and an auto transfer rule cut the detour to under 2%.
Cases bouncing between tiers
9% of cases bounced between Tier 1, Billing, and back to Tier 1 before resolution. A guided workflow pop up and tight knowledge base linking slashed these loops by 72%.
Every exception has an owner
Live dashboards made ownership clear: every queue, every policy exception, and every margin hit is tied to an accountable leader who receives automated notifications the moment an interaction veers off the happy path.
SLA risk predicted mid call
mindzie now predicts SLA breach risk mid call and fires alerts whenever concession spend exceeds policy, so the contact center process keeps improving day after day.
Operational highlights
Results by the numbers
| Metric | Impact |
|---|---|
| Average handle time | 4.9 minutes, down 38% |
| SLA compliance | 97% across channels |
| First contact resolution | 93%, up 31 points |
| Repeat call rate | 4.1%, down 44% |
| Rework loops | 2.5% of cases, down 72% |
| Concession overspend | Under $0.1M, down 94% |
In their words
“mindzie turned millions of rows of CTI and CRM data into a live playbook. We don’t wait for weekly reports anymore. Supervisors act in the moment, and our customers feel the difference.”
Director of Global Operations
The outcome
This contact center success story shows how quickly mindzie’s process intelligence platform can convert raw interaction data into lasting operational excellence and bottom line impact: shorter handle times, first contact resolution above 90%, and $1.8M of policy leakage brought under control.
