Hyper-scale SaaS LeaderTechnology / SaaS

Product Intelligence Scaling

Training product and data teams to ship LLM-native features 50% faster.

300
Engineers Trained
40%
Time-to-Market Reduction
2.5x
Velocity Improvement

The Challenge

A global SaaS company with 800+ engineers needed to ship an LLM-native product feature within a 6-month window. Internal AI knowledge was fragmented with no consistent RAG or agentic framework understanding.

Objective

Upskill 300 product engineers and data scientists to production-grade GenAI capability with measurable feature delivery acceleration.

Our Approach

AIXL designed a fast-track 4-week program: RAG Architecture, Agentic Workflows, LLM Evaluation, and Production Hardening — all labs-backed with direct integration to the client's existing CI/CD pipeline.

Delivery Model

Hybrid virtual + lab cohorts with AIXL Skills evaluation checkpoints after each module.

Outcomes Delivered

40% reduction in LLM feature time-to-market
2.5x improvement in team velocity on AI-native sprints
4 production-ready internal LLM features shipped within 10 weeks of program start
Internal AI champions established in 5 of 6 product verticals

Technologies Used

OpenAI APILangChainAIXL LabsAIXL SkillsGitHub Actions

AIXL did not deliver a course. They delivered a capability shift.

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