AI Implementation Scorecard Review
Transform your flawed AI evaluation framework into a reliable system in just 45 minutes
Companies waste an average of $50,000+ on AI implementations that fail in production. This $400 review prevents those failures before they happen.
The Problem
Backend engineers treating AI as “just another API” creates evaluation gaps that cause production failures. Your team builds impressive demos that fall apart under real-world conditions because traditional testing approaches miss critical AI-specific failure modes.
Sound familiar?
- Your AI system works perfectly in demos but behaves unpredictably in production
- You’re not confident in how to properly evaluate AI performance before deployment
- Your evaluation datasets don’t represent real-world conditions
- You’re unsure which metrics actually predict production performance
What You Get in 45 Minutes
A comprehensive AI Implementation Scorecard that includes:
- Complete System Assessment: A thorough review of your current AI implementation and evaluation approach
- 3+ Critical Failure Points: Specific weaknesses in your evaluation framework that would cause production issues
- 7 Actionable Recommendations: Prioritized by impact and implementation difficulty
- Implementation Roadmap: A step-by-step plan to transform your evaluation process
- Resource Requirements: Realistic time and resource estimates for implementing improvements
- PDF Scorecard Document: A detailed reference you can share with your team
The Process
- Pre-Call Analysis: You’ll answer a brief questionnaire about your AI implementation so I can prepare specific recommendations
- 45-Minute Review Session: We’ll dive into your specific implementation challenges and I’ll provide tailored recommendations
- Scorecard Delivery: Within 24 hours, you’ll receive your complete AI Implementation Scorecard
- Implementation Support: Email access for two weeks to ask follow-up questions as you implement recommendations
My Guarantee
If you don’t receive at least 3 specific, implementable recommendations that improve your AI evaluation process, the session is free. No risk to you.
Who This Is For
This service is specifically designed for engineering teams who have built AI prototypes but struggle to make them reliable in production environments. It’s ideal for:
- Engineering leaders responsible for AI implementation
- Backend teams transitioning to AI development
- Companies that have invested in AI but haven’t seen production success
Why Listen to Me?
I bring 14 years of programming experience, including 3 years as a data engineer and 4 years as an MLOps engineer, plus 5 years teaching AI and ML workshops. I’ve helped numerous companies transform their AI prototypes into production-ready systems through proper evaluation frameworks and MLOps practices.
Why Traditional Evaluation Methods Fail for AI
Unlike conventional software, AI systems require:
- Representative evaluation datasets that match real-world conditions
- Multi-dimensional performance metrics beyond simple accuracy
- Behavioral guardrails that conventional testing can’t verify
- Input/output variation handling that breaks traditional test approaches
In our session, I’ll show you exactly how to address these challenges for your specific AI implementation.
Limited Availability
I only offer 5 review sessions per week to ensure quality.
Investment: $400
Transform your AI implementation approach in just 45 minutes.
Book Now
What Happens After You Apply
- I’ll review your application within 24 hours
- I will ask you to complete the AI Readiness self-assessment using my automated tool: aireadiness.dev (if you haven’t already done so) and send me the billing information
- I’ll send you any additional preparation materials
- We’ll meet via Google Meet or Zoom for your AI Implementation Scorecard Review
- You’ll receive your complete Scorecard within 24 hours of our session
Questions? Email me at: blog (here is the “at” symbol) mikulskibartosz.name