/case-studies / telecom-llmops-to-production
LLMOPS & AI PLATFORM

An LLMOps platform takes GenAI to production for a telecom

client
Telecoms Operator
industry
Telecom
services
LLMOps · Platform
duration
7 months
fig.80// skillikzmodeltraininfervectorAImodel.evalrollout85%98%accuracyusage91coveragelive
// OVERVIEW

Telecoms Operator — a telecom organisation — engaged Skillikz on llmops platform: Serving, evaluation and cost control for AI at scale. This case study sets out the business challenge, the AI-led approach we took, the technologies involved and the measurable outcomes delivered over 7 months.

// TECHNOLOGIES
LangSmith / MLflowKubernetesTerraformPrometheusAWS Bedrock
prod
in weeks
-45%
AI run cost
99.9%
availability
eval
automated
01 // THE CHALLENGE

Promising GenAI prototypes stalled before production — no reliable serving, evaluation, cost control or release discipline.

02 // OUR APPROACH

We stood up an LLMOps platform with managed serving, automated evaluation, monitoring and token-cost FinOps, plus CI/CD for prompts and models.

Production model serving and deployment
Automated evaluation and drift monitoring
Token-cost FinOps and routing
CI/CD with canary releases and rollback
03 // THE RESULTS

Prototypes reached production in weeks, AI run cost fell 45%, and the platform sustains reliable, well-governed AI at scale.

We finally have a paved road from prototype to production — and the bill is under control.

VP Engineering · Telecoms Operator
// HOW WE'D DELIVER THIS TODAY

The AI services behind this outcome

A project like this draws on a focused set of Skillikz services — from first assessment to a working pilot and a clear path to scale.

// MORE WORK
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