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Transportation TechnologySourced

Case Study: Via Transportation reaches $365K+ in annual gains with Level AI-powered QA

Via Transportation Case StudySourced & dated by Case Study Desk
Key facts · TL;DR
Company
Via Transportation
Industry
Transportation Technology
Challenge
A manual Airtable QA system was slow and error-prone as Via scaled to hundreds of agents across five locations.
Headline result
Replacing slow manual QA with conversation intelligence across five global locations

Key results

$365K+
Annual efficiency gains
90 hours
Saved monthly via auto-assignment
575+
Extra evaluations per month
from freed-up auditor capacity
30%
Reduction in auditor team expense

The challenge

Via's manual QA system in Airtable was slow and error-prone, with formula changes taking days to implement. As the company scaled to roughly 350 BPO agents across five locations from the Philippines to Barcelona, it struggled to maintain consistent, unbiased quality standards and surface actionable trends across regions.

The solution

Via adopted Level AI's Conversational Intelligence platform, which uses Natural Language Understanding to interpret customer sentiment, intent, and nuance rather than keywords alone. This enabled automated QA, auto-assignment of evaluations, real-time coaching, and transparent scoring across multiple languages and geographies.

Competitor worked off keywords alone. Level AI listened to the whole story.

EC
Eileen Conboy
Support Operations Principal, Via Transportation

The results, in context

Via reported over $365K in annual efficiency gains from doing QA right. Sophisticated auto-assignment saved the team 90 hours each month, and freed-up auditor capacity produced 575+ extra evaluations per month while cutting auditor team expense by 30%. The platform also flagged 60% more high-demand rider calls than the competitor Via previously used.

Products used

Level AI Conversational IntelligenceLevel AI AutoQA