Gen AI Observability for Engineering Leaders

Gen AI Observability for Engineering Leaders Interactive Workshop + Live Demo | 90 Minutes

🔍 Your Team Adopted AI Tools — Now What? Every engineering org is deploying AI coding assistants, agentic workflows, and foundation models. But here's the uncomfortable truth: most have zero visibility into whether it's actually working.

How much are you spending per commit on AI tokens?

Are your developers faster — or just busier?

Which of your 30+ AI tools are delivering ROI and which are waste?

Join us for a 90-minute hands-on workshop where we'll show you a battle-tested framework for measuring AI's real impact on engineering velocity, code quality, and cost — built entirely on AWS-native services with zero per-seat licensing.

What You'll Learn 📊 Measure Real Impact — Move beyond vanity metrics. Track adoption, productivity, and outcomes across your entire engineering org with a proven KPI framework

🔥 AI Coding Tool Economics — Get full visibility into 40+ AI coding tools (Claude Code, Cursor, Codex, Gemini, Grok & more). See token usage, model attribution, cost-per-commit, and waste detection in one place

🏗️ AWS-Native Architecture — Deploy dashboards on CloudWatch, QuickSight, Bedrock, and DynamoDB. No vendor lock-in, no per-seat fees — just your data, your infrastructure

🛡️ Security & Governance — Address the 8 CISO concerns keeping your security team up at night. Shadow AI detection, compliance guardrails, and policy enforcement built in

📈 Maturity Assessment — Understand where your org sits on the AI transformation curve and get a concrete roadmap to level up

Live Demo: What You'll See in Action ✅ Executive Readout Dashboard — CTO-level view of AI impact across teams ✅ Token Economics Console — CFO-friendly cost attribution ($/commit, tokens/line) ✅ Team Velocity Tracker — Engineering manager view of before vs. after ✅ CISO Compliance Dashboard — Governance, data flow, and policy status ✅ AI-DORA Analysis — AI-native twist on DORA metrics for modern teams

Who Should Attend CTOs & VPs of Engineering — "Is our AI investment paying off?"

Engineering Managers — "How do I measure my team's AI-assisted productivity?"

CISOs & Security Leaders — "What AI tools are in use and are they compliant?"

CFOs & Finance Partners — "What are we actually spending on AI tokens?"

Ideal for orgs with 20–200+ engineers that have adopted AI tools but lack a measurement strategy.

What You'll Walk Away With ✅ A clear framework for measuring AI transformation (Adoption → Productivity → Outcomes) ✅ Access to an open-source assessment tool you can run on your own codebase ✅ Architectural blueprints for deploying observability dashboards on AWS ✅ A maturity score for your organization with a personalized improvement roadmap ✅ Direct access to AWS Solutions Architects who built this for production

Event Details 📅 Date: October 16, 2026 10:00 AM PT (LA Tech Week) ⏱️ Duration: 90 minutes 📍 Location: 2450 Colorado Ave, Santa Monica, CA 90404 👥 Capacity: 80–100 (first come, first served) 💻 Bring: Your laptop for the hands-on assessment

Hosted By AWS Startups — Built by Solutions Architects who've deployed this framework with real customers and scaled it through partner channels. This isn't theory — it's production-tested.

This event is a part of #LATechWeek—a week of events hosted by VCs and startups to bring together the tech ecosystem. Learn more at www.tech-week.com