The Wreck Index
Project Benchmarks
Anonymous aggregate data from AI and CRM consultants. Real outcomes, real failure modes, real budgets. Updated as submissions come in.
All data is collected anonymously via project story submissions. No individual, company, or project is identifiable. Percentages are rounded. Minimum sample size of 10 submissions required before a data point is displayed. The index grows with every submission — add your wreck to help build it.
Project Type
Project Outcomes
Top Failure Modes
Project Budget Ranges
What the data tells us
Early Signals
Scope creep is universal
Across every project type and budget band, scope creep is the most commonly cited failure mode. It peaks on AI implementation projects where expectations are highest and requirements are least defined.
Data kills AI projects
Data quality and accessibility issues are the leading cause of failure specifically in AI projects — more than any technical or delivery problem. This is why discovery and data auditing cannot be rushed.
Most projects ship late
On-time delivery is the exception, not the rule. The data suggests most projects are underestimated at scoping, with AI implementation projects showing the highest rate of significant delays.
AI projects are growing fast
AI implementation is now the fastest-growing project type in submissions — accounting for an increasing share month-on-month as consultants transition from Salesforce and CRM work into AI delivery.