Google Sheet + PDFLifecycle Audit
AI Lifecycle
Audit Checklist
A comprehensive 200-point audit framework for evaluating your marketing automation stack, AI readiness, data infrastructure, and lifecycle program health. Used by enterprise teams at Fortune 500 companies.
200+
Audit Points
12
Categories
40 hrs
Avg. Time Saved
✅
Lifecycle Audit
200-Point Framework
Data Infrastructure Health✓ Done
Automation Logic Review✓ Done
AI Model Readiness✓ Done
Channel Performance Audit✓ Done
Compliance & GovernancePending
Team Capability AssessmentPending
Audit Score
67/100
Audit Framework
12 audit categories, 200+ checkpoints
🗄️
Data Infrastructure
- CDP/data warehouse audit
- Identity resolution review
- Event tracking completeness
- Data quality scoring
- PII compliance check
⚙️
Automation Health
- Journey logic audit
- Trigger accuracy review
- Suppression list hygiene
- Frequency cap validation
- A/B test coverage
🤖
AI Readiness
- ML model inventory
- Prediction accuracy benchmarks
- AI governance framework
- Bias detection protocols
- Human-in-loop checkpoints
📡
Channel Performance
- Email deliverability score
- Push notification opt-in rates
- SMS compliance audit
- In-app engagement metrics
- Cross-channel attribution
Business Value
What a proper audit unlocks
Most marketing automation stacks have 30-50% of their potential untapped. This audit surfaces exactly where the gaps are.
35%
Average revenue lift
From fixing journey logic gaps identified in audit
50%
Reduction in manual work
By automating processes flagged as inefficient
2.4x
Faster campaign launches
After resolving data quality and workflow bottlenecks
$180K
Avg. annual savings
From eliminating redundant tools and processes
Platform Coverage
Covers every major platform
Salesforce
HubSpot
Braze
Segment
Snowflake
Zapier
OpenAI
Airtable
Run a full lifecycle audit with our team
Our consultants can run this audit for your organization and deliver a prioritized remediation roadmap within 2 weeks.