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// AI Initiative Audit

Find out if your AI initiative can reach production—in 30 minutes.

Free assessment for operations leaders. We'll review your traces, diagnose failure modes, and give you a clear go/no-go recommendation.

Schedule Free Assessment
diagnose — magnetiz
STATUS: SCANNING MODE: audit
Ln 1, Col 1
// The Assessment

How the AI Initiative Audit
starts your journey.

What's Failing

We identify actual failure modes from your production traces — not generic metrics.

What to Do Next

A clear deployment roadmap with eval framework design and CI/CD gates.

An ROI Calculation

Realistic efficiency gains and annual capacity unlocked per agent.

// Trace Analysis

See what's possible with
your current setup

We review your traces to find what's breaking in production

audit_pipeline/ — magnetiz
1
01_Trace_Review.py </>

Review your production traces (inputs, outputs, intermediate steps). Document actual failure modes from real user interactions.

2
02_Error_Analysis.py </>

Categorize failures using error taxonomy. Identify the most common failure modes — not generic metrics.

3
03_ROI_Analysis.py </>

Calculate realistic efficiency gains. Show annual capacity unlocked per agent.

4
04_Eval_Framework.py </>

Design binary pass/fail evals for each failure mode. Recommend LLM-as-judge setup, CI/CD gates, and monitoring.

STATUS: READY BRANCH: main BUILD: PASSING
4 modules loaded
// Lab Overview

Assessment Deliverables

deliverables.md

What You Get delivered in 24hrs

  • ✓ Written assessment — delivered within 24 hours
  • ✓ Error taxonomy — failure modes from your traces, not generic metrics
  • ✓ Eval framework design — binary pass/fail evals for each failure mode
  • ✓ ROI calculation — efficiency gain + break-even timeline
  • ✓ Deployment roadmap — LLM-as-judge setup, CI/CD gates, monitoring
  • ✓ Go/no-go recommendation — deploy, build evals first, or kill
requirements.txt

What We Need

  • ▸ 30 minutes with operations or engineering lead
  • ▸ Access to production traces (or demo/pilot logs with real interactions)
  • ▸ Brief context on your agent workflow and current status
  • ▸ Willingness to hear honest feedback (even if it's "kill this pilot")

// How will this solution integrate into our existing operations?

// What data do we need, and is it clean, accessible, and sufficient?

// Eligibility

Who should apply?

This audit is for operations leaders who:

eligibility_check.sh
if Lead an ops team with stuck AI pilots (6+ months, won't ship)
if Are building new agents and want to avoid pilot purgatory
if Have decaying agents (accuracy dropped, users don't trust it)
if Need to prove AI ROI to leadership (CFOs / COOs)
then schedule_assessment() # Limited to 8 per month
SLOTS: 8 / month AVAILABILITY: OPEN
capacity_limited
// Book Your Slot

Limited to 8 assessments per month.

terminal — magnetiz
magnetiz.ai  $ 
STATUS: READY MODE: audit
awaiting input...

30 minutes. Your traces. A clear recommendation.
If we can't show a path to ROI — you don't pay.

Schedule Free Assessment