What’s Included?
An AI technical audit that spots problems before they blow up in production. I review your current architecture, tech stack, cloud costs, and deliver a report with actionable, prioritized recommendations to optimize, cut costs, and scale without collapse.
Architecture Analysis
Review of your AI stack: RAG, fine-tuning, agents, embeddings. I identify bottlenecks, suboptimal decisions, and scalability risks.
Cost Optimization
Analysis of API (OpenAI, Anthropic, Groq, etc), cloud and vector database spend. I show where you’re burning money and how to reduce costs 20-60%.
Security & Compliance
Review of prompts, sensitive data handling, rate limits, and compliance. I help you avoid legal issues or data leaks.
Technical Roadmap
A prioritized action plan: what to fix now (critical), what to optimize next (important), and what can wait (nice-to-have).
Process
Kick-off & Access
A 60–90 min call to understand your system. You give me access to repos (GitHub), cloud (AWS/GCP/Azure), and dashboards (LangSmith, logs).
Deep Analysis
I review code, architecture, costs, prompts, evaluations, and monitoring. I identify technical issues, scalability risks, and opportunities.
Technical Report
A document with findings, prioritized recommendations, impact estimates (cost/time), and implementation roadmap.
Review Session
A 90 min call to go over findings, answer technical questions, and define priorities based on your resources and timing.
Is your POC stuck for months? Are cloud costs skyrocketing? Not sure if your architecture will scale? A 2-week audit saves you months of headaches.