From bottleneck to business velocity with an AI analytics agent that put real-time answers in the room.

A telecom giant with a massive BI footprint and a mandate to move faster with AI.

• Verizon Wireless is one of the largest telecommunications companies in the world, serving millions of consumers and enterprise customers.
• Massive BI footprint: ~150K Tableau reports, ~22K Qlik apps, ~8K ThoughtSpot reports, and 1,500+ BI developers.
• Zenlytic deployed internally as “Velocity Query” in Verizon’s own VPC running Claude models on Google Vertex.

Data everywhere. Answers nowhere.

• Data everywhere, answers nowhere. Getting answers to business-critical questions still required routing requests through analysts and waiting days for reports.
• In-house AI fell short. One audience-building use case alone was projected to cost $1.8M and take 60 days per cycle.
• Legacy vendors couldn’t deliver. Qlik, Google, Tableau, and ThoughtSpot had all promised conversational analytics but hadn’t shipped it.
• CEO mandate on AI. CEO Dan Schulman publicly declared the intent to use AI to simplify offers, improve CX, and reduce churn. The CDO’s top priorities: “talk to data” and “better churn analysis.”

Transparent, governed, and purpose-built for conversational analytics.

• Transparency: Every answer is traceable through Zenlytic’s Clarity Engine. Every metric is defined and governed, so business users trust what they see.
• Natural language access: Zoë gives anyone from a CRO to a marketing lead instant, trusted answers with no SQL required.
• Enterprise-grade security: VPC deployment with Claude models hosted on Google Vertex met Verizon’s security requirements from day one.
• Purpose-built for conversational analytics: Unlike Qlik, Looker, and Tableau, Zenlytic was built from the ground up with a governed semantic layer and proactive analytics.

Same-day audiences, millions saved, and a 40% lift on predictive workloads.

• 60 days to 1 day: Audience building reduced from a two-month cycle to same-day turnaround for sales and marketing teams.
• $1.8M saved on a single use case: Replaced a planned internal build with Zenlytic handling it out of the box.
• 40% of predictive workloads absorbed: Verizon’s lead enterprise architect estimated Zenlytic can handle 40% of data science workflows.
• Land and expand: Started with B2B team; expanded to Enterprise Analytics with senior leadership authorizing an additional $150K to accelerate deployment.
• Beat the field: Evaluated against Qlik, Looker, Tableau, and ThoughtSpot. Verizon’s team: “It worked great in all scenarios.”