AI Audit

Find Hidden Wins
With an Expert
AI Audit

Get expert evaluation of your complete AI stack with proven improvement strategies and implementation plans.

About

Complete AI performance evaluation with clear recommendations for each product feature and system.

Reduce token costs through prompt engineering, model selection, and modular RAG improvements.
Boost accuracy as well as user satisfaction with PEFT methods and well-managed LLM memory.

When to Consider
AI Audit?

Operational costs of AI features are too high and unsustainable for your business.
Customer complaints about AI accuracy, speed, or relevance are increasing.
Expected productivity gains from AI implementation fail to materialize as promised.

Select Areas

Expert-guided scope definition based on your biggest AI pain points.

Identify AI Features

Complete AI feature inventory with performance and cost impact analysis

Measure

Industry-standard benchmarking with custom test datasets and metrics.

Review

Comprehensive architecture, security, and UX evaluation with expert insights.

Report

Actionable report with prioritized recommendations and implementation roadmap

How they contribute

Maximum Performance

Analyses agent task decomposition, autonomy, and perception, as well as how they’re orchestrated, to maximize task completion rate and performance.

How they contribute

Expert recommendations

Creates rigorous testing procedures, validates data quality, and provides expert recommendations for model tuning and performance improvements.

1
Maturity assessment

Discover if you're an AI pioneer or playing catch-up with rivals.
2
Build AI skills

Expert insights that build your team's AI optimization skills.
3
Maximize ROI Fast

Investment roadmap with costs, timelines, and forecasted returns.