Technical AI Audit
We perform independent audits of your AI systems — reviewing infrastructure, costs, security, and performance to find hidden issues before they become expensive problems.
What Is a Technical AI Audit?
A Technical AI Audit is a comprehensive, independent review of your existing AI infrastructure. We examine your models, pipelines, integrations, costs, security posture, and performance to identify inefficiencies, risks, and optimization opportunities.
Think of it as a health check for your AI systems. Most companies find 20–40% cost savings and critical security gaps they didn’t know existed — issues that could cost $50K+ if discovered during an incident instead of an audit.
What’s Included
Infrastructure Review
Assessing your AI architecture, hosting, scaling configuration, and deployment patterns.
Cost Analysis
Detailed breakdown of API costs, compute spend, storage, and identifying optimization opportunities.
Security & Compliance
Reviewing data handling, access controls, prompt injection risks, and compliance requirements.
Performance Profiling
Measuring latency, throughput, error rates, and model quality metrics across your AI systems.
Code & Architecture Review
Evaluating code quality, architecture patterns, technical debt, and maintainability.
Audit Report & Recommendations
Detailed report with prioritized findings, risk levels, and actionable recommendations.
How We Work
Scoping & Access
We define the audit scope, gain access to your systems, and establish confidentiality agreements.
Technical Deep Dive
We analyze your infrastructure, code, costs, security, and performance systematically.
Findings & Prioritization
We categorize findings by severity, impact, and effort, creating a prioritized action plan.
Report & Presentation
You receive a detailed report with findings, recommendations, and a presentation walkthrough.
Who It’s For
Pricing
- Audit scoping & confidentiality setup
- Infrastructure & architecture review
- API cost analysis & optimization map
- Security & compliance assessment
- Performance profiling & benchmarking
- Code quality & technical debt review
- Prioritized audit report & presentation
Why This Investment
The average AI audit saves 3–5x its cost in the first quarter. We typically find $2‐8K/month in wasted API costs, security vulnerabilities that could trigger regulatory fines, and performance bottlenecks causing customer churn. An audit now prevents a $50K+ incident later.
No obligation
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Book a free discovery call and we’ll scope out an audit that uncovers your biggest risks and savings.
Book a Consultation