Your Trusted Partner in AI & Data
Get Your AI Pilot Out of the 85% That Never Scale
A 2-day lab where engineering leads take a real Clinical Trial AI Assistant from proof of concept to a governed, production-ready blueprint.
85% OF ALL PILOTS NEVER SCALE
Understanding the gap between fragile proof-of-concepts and scalable enterprise systems.
AI systems are only as good as the data feeding them. Production data is never as clean as demo data.
Business teams expect ChatGPT-level magic; engineers deliver regression models. That gap kills adoption.
POC code is throwaway code, with no logging, no monitoring, no error handling, and no path to scale.
No access control, no audit trail, no compliance checks. Legal and compliance block production.
No MLOps. No integration with enterprise systems. No one owns ongoing model maintenance.
CURRICULUM OVERVIEW
PRE-WORK (OPTIONAL) · 8 HOURS · 2 WEEKS PRIOR
Identify your company's use case and the data behind it before Day 1. This optional pre-work must be completed 2 weeks prior so the bootcamp can focus on your real environment.
DAY 1 AM
Walk through the industry-wide patterns behind failed AI projects, then compare them against real client experiences, what worked, and what didn't.
DAY 1 PM
Assess data quality and readiness for AI, and build the organizational readiness needed to drive adoption across the business.
DAY 2 AM
Cover the engineering disciplines a production system needs: prompt management, an evaluation harness, clean abstraction, scalability, compliance, and security.
DAY 2 PM
Review a scalable, observable, production-ready blueprint you can take back to your team.
LEARNING OUTCOMES
By end of Day 2, participants can: