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Telstra

Enterprise AI across the data foundation, employee knowledge, customer service, and network automation
First-party enterprise source Telecommunications Enterprise deployment ⚙ Technical reference Deep case | Key delivery chain is substantially documented Evidence level A Hundreds of use cases at scale
A Evidence level
How Telstra is reinventing itself with AI
Publisher: Telstra · First-party transformation review · Direct case-level source
Claim origin: Company management disclosure · Independent verification: No · Accessed: 2026-09-19
Evidence level measures whether a source can be located and reviewed; it does not mean vendor-reported claims were independently audited.
Deep case | Key delivery chain is substantially documented 12 / 12
Business context2 / 2
Transformation workflow2 / 2
Technical workflow2 / 2
Human roles & governance2 / 2
Measured outcomes2 / 2
Source traceability2 / 2
All six dimensions meet the current completeness threshold.
Telstra connects the consolidation of roughly 80 data platforms with later employee search, customer self-service, and network automation—showing that enterprise AI delivery is simultaneously a data-engineering and operating-model transformation.
Business problem

Telstra wanted to improve frontline knowledge access, customer self-service, and network reliability, but roughly 80 historical data platforms fragmented data and interfaces. Without a shared foundation, role-based training, and responsible controls, individual pilots would not scale into hundreds of business use cases.

Solution

Telstra reduced its data platforms from roughly 80 to about 20 and moved toward cloud and API-first architecture. On that foundation it built AskTelstra with Azure OpenAI and Azure AI Search over trusted corporate knowledge, then deployed a customer-facing generative AI assistant, One Sentence Summary, and SmartFix in network operations. A Data & AI Academy supports workforce adoption.

Technical architecture & production workflow
Step 01
Consolidation from roughly 80 data platforms to about 20
→
Step 02
Cloud, API-first architecture and reusable AI capabilities
→
Step 03
Azure AI Search retrieves trusted corporate knowledge
→
Step 04
Azure OpenAI generates AskTelstra responses and interaction summaries
→
Step 05
Customer assistant and SmartFix connect to digital channels and network operations
→
Step 06
Human escalation, responsible-AI controls, adoption, and workflow-specific metrics
Key technology & infrastructure components
Cloud data platformAPI-first architectureAzure OpenAIAzure AI SearchAskTelstraOne Sentence SummarySmartFixResponsible-AI framework
Human roles & accountability

AskTelstra and summarization tools give frontline staff answers and context; employees remain responsible for customer communication and exceptions. Network automation handles standardizable problems, with anomalies entering operations workflows. Responsible-AI controls, security, and training for more than 20,000 employees support scaling.

FDE delivery actions
  • Consolidate data platforms and standardize API access first
  • Start with high-volume knowledge lookup and proactive network repair
  • Ground generated answers in trusted corporate knowledge
  • Build an AI Academy and role-level adoption support
  • Measure call time, self-service resolution, and prevented calls separately
Reusable delivery patterns
  • Enterprise AI often depends on prior simplification of data and interfaces
  • Set different business metrics for different workflows under one AI strategy
  • Employee assistants should be grounded in controlled corporate knowledge
  • Network automation and conversational AI need different escalation paths
Business outcomes & delivery results

Telstra reports that AskTelstra supports more than 8,000 frontline employees and reduces average call time by over one minute. Its customer assistant nearly tripled the number of queries resolved without escalation. SmartFix performed 2.5 million proactive actions in FY25 and prevented nearly one million support calls.

Evidence boundaries & verification notes
  • Call-time reduction, query resolution, and prevented calls belong to different workflows and should not be treated as interchangeable.
  • SmartFix is part of Telstra’s broader AI and automation portfolio, not a standalone generative AI feature.
Primary source: How Telstra is reinventing itself with AI ↗ Additional sources: Telstra scales up AI adoption ↗
Traceable does not mean independently audited
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