What challenges did Vodafone face before AI implementation?

Needed to handle millions of customer queries in multiple languages and countries. Sought to reduce average call handling time and improve first-time resolution rates. Wanted to upgrade the capabilities of existing automation for complex requests. Aimed to scale consistent customer experience across markets. Required compliance with stringent data ethics and responsible AI frameworks.

What was the impact of the AI solution?

Reduced average call times by 1 minute per customer. Enabled scalable deployment of GenAI assistants in multiple countries.

Source

MicrosoftExpandedProductionEvidence: High85/100

Vodafone boosts customer service excellence with AI-powered virtual assistants

Use case typeMultilingual communicationUpdated Jun 13, 2026

Vodafone executed a large-scale transformation of its customer experience operations via AI and Microsoft Azure OpenAI technologies. Through a ten-year strategic partnership with Microsoft, Vodafone enhanced its virtual assistant TOBi and introduced SuperAgent, enabling seamless, intelligent responses to a diverse customer base across 13 countries. SuperTOBi can manage inquiries in 15 languages, handle complex queries, and escalate challenging cases to human agents with summarization. SuperAgent aids employees by surfacing relevant information quickly, allowing them to resolve complex cases and broaden their expertise. The project is part of Vodafone’s multi-country rollout, guided by ethical AI principles, aimed at improving first-contact resolution, reducing call times, enhancing customer satisfaction, and upskilling employees.

Organization: Vodafone
Industry: Tech & Comms
Location: United Kingdom
Published: June 2024

Reported outcomes

Time: +50%

Time & speed

Time: 1 minute

Catalog median for time & speed deployments: +59% across 138 reported metrics. Compare benchmarks →

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Time: 50% increase

vodafone.comJun 3, 2024News articleInferred claimHigh evidence strength

50% improvement in first-time resolution of complex customer issues.

Last evidence check: Jun 1, 2026

Normalized claim

Time: 1 minutes decrease

vodafone.comJun 3, 2024News articleInferred claimHigh evidence strength

Reduced average call times by 1 minute per customer.

Last evidence check: Jun 1, 2026

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Vodafone
Provider: Microsoft
Maturity: Production
Linked source: vodafone.com

Deployed SuperAgent, powered by GenAI, to assist agents with dynamic information retrieval and summarization

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1Multi-language Intelligent Virtual Assistant for Customer Service
2AI Agent-Assisted Human Agent Support
3Automated Escalation and Conversation Summarization

Enhanced the TOBi virtual assistant using Microsoft Azure OpenAI for better natural language understanding.
Deployed SuperAgent, powered by GenAI, to assist agents with dynamic information retrieval and summarization.
Integrated true multi-language support across 13 countries and 15 languages.
Implemented real-time escalation from chatbot to human agent with conversation summarization.
Embedded AI-based training insights to improve agent and bot performance.

Technologies

Azure OpenAI Azure AI Copilot

Reduced average call times by 1 minute per customer.
Enabled scalable deployment of GenAI assistants in multiple countries.

Architecture

The solution integrates Microsoft Azure OpenAI Service for natural language processing and generation with Vodafone’s customer systems. TOBi manages inquiries and escalates to human agents as needed, providing conversation summaries for rapid handoff. SuperAgent acts as a dynamic information retrieval and summarization assistant for agents, leveraging knowledge graphs, conversation data, and agent training modules integrated with Vodafone’s customer contact infrastructure.

Sources & evidence6

Evidence: High85/100Evidence strength