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How Innovify Enabled Vonage to Unlock AI-Driven Insights at Scale

How Innovify Enabled Vonage to Unlock AI‑Driven Insights at Scale: From Raw Data Streams to a Unified Big‑Data Intelligence Platform

Vonage is a global cloud communications provider offering voice, messaging, video, and data solutions across Unified Communications, Contact Centres, and Communications APIs.
Case Study

Client Overview

Vonage is a global cloud communications provider offering voice, messaging, video, and data solutions across Unified Communications, Contact Centers, and Communications APIs. Their platforms serve millions of users and power mission-critical enterprise communication worldwide. To improve decision-making across product, operations, and customer segments, Vonage needed a modern big-data and AI-driven intelligence layer capable of extracting actionable insights from massive, fast-moving datasets.

Client:
Vonage
Country:
United Kingdom
Platforms:
AI & Big Data Reporting
Industry:
Communication

Challenge

Zilch set an ambitious goal: launch a fully compliant digital wallet in just four months. Innovify was tasked with building the platform from the ground up, fast, secure, and ready for scale.

The project came with critical technical and compliance requirements:

  • PCI DSS certification and FCA approval, ensuring full regulatory compliance
  • Ultra-low latency transactions under 250 milliseconds, delivering a seamless user experience.
  • Successful integration of multiple third-party APIs, including GPS, Xero, and CashFlows

The solution is cloud-native, API-first, and built for scalability, enabling Zilch to launch confidently and expand across the UK market. With compliance-by-design and optimized architecture, the product is ready for rapid growth.

Vonage processes enormous volumes of communication data across multiple products and channels.

But without a unified analytical foundation, teams faced several constraints:

  • Disconnected data sources limiting visibility
  • Slow insight generation affecting operational and strategic decisions
  • Complex reporting workflows with limited automation
  • Limited predictive capabilities for customer behaviour, usage patterns, and operational trends

To unlock deeper intelligence, Vonage required a scalable big-data platform powered by BI, ML, and AI.

Key Objectives

Deliver a fully functional digital wallet within four months

  • Build a cloud‑ready big‑data architecture for high‑volume ingestion and processing
  • Enable predictive analytics using machine learning
  • Deliver secure, enterprise‑grade BI workflows and reporting
  • Simplify the transformation of raw datasets into meaningful insights
  • Improve decision‑making speed across business, marketing, and strategy teams
  • Ensure full data confidentiality and compliance in partnership with internal IT and BI teams

Solution

Innovify began with a comprehensive discovery workshop to define scope, align stakeholders, and anticipate technical challenges. A dedicated delivery team was assembled to ensure speed and precision throughout the build.

Innovify began with a comprehensive discovery workshop to define scope, align stakeholders, and anticipate technical challenges. A dedicated delivery team was assembled to ensure speed and precision throughout the build.

Innovify began with a comprehensive discovery workshop to define scope, align stakeholders, and anticipate technical challenges. A dedicated delivery team was assembled to ensure speed and precision throughout the build.

Innovify began with a comprehensive discovery workshop to define scope, align stakeholders, and anticipate technical challenges. A dedicated delivery team was assembled to ensure speed and precision throughout the build.

Innovify partnered closely with Vonage’s internal business, IT, and BI teams to design and implement a comprehensive big-data intelligence system.

1. Big-Data Architecture

Innovify engineered a pipeline that supported:

  • Large-scale ingestion from multiple data streams
  • High-performance storage and processing layers
  • Automated cleansing, transformation, and enrichment workflows

This architecture positioned Vonage for scalable, future-proof analytics.

2. AI & Machine Learning Integration

The team integrated ML models and AI components that enabled:

  • Predictive modelling for customer behaviour and market trends
  • Pattern detection across call, message, and engagement data
  • Automated identification of operational inefficiencies

AI algorithms surfaced insights not visible through traditional BI alone.

3. Business Intelligence & Reporting

Innovify produced rich, enterprise-grade BI outputs including:

  • Dashboards for leadership
  • Visualisations for customer segmentation
  • Internal reports for operational planning
  • Data-driven recommendations for strategic initiatives

These real-time insights accelerated decision-making across the organisation.

Technology Used

No items found.

Results

Zilch set an ambitious goal: launch a fully compliant digital wallet in just four months. Innovify was tasked with building the platform from the ground up, fast, secure, and ready for scale.

The project came with critical technical and compliance requirements:

  • PCI DSS certification and FCA approval, ensuring full regulatory compliance
  • Ultra-low latency transactions under 250 milliseconds, delivering a seamless user experience.
  • Successful integration of multiple third-party APIs, including GPS, Xero, and CashFlows

The solution is cloud-native, API-first, and built for scalability, enabling Zilch to launch confidently and expand across the UK market. With compliance-by-design and optimized architecture, the product is ready for rapid growth.

The big-data and AI platform delivered by Innovify enabled Vonage to operate with greater clarity and speed.

Impact Delivered

  • Deep visibility into communication patterns across products and users
  • Faster, more accurate decision-making at all organisational levels
  • Predictive insights improving planning, segmentation, and resource allocation
  • Reduced dependency on manual analysis workflows
  • Stronger competitive edge through AI-powered trend detection
  • A scalable architecture ready for future product innovation

Vonage emerged with a modern intelligence foundation that transforms raw data into actionable knowledge — driving performance across customer experience, product strategy, and operational efficiency.

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