Your AI Strategy Will Fail
If Your Data Foundation
Isn't Ready
Every company is racing to go AI-native. Most will fail — not because of the models they chose, but because of the data underneath them. Find out exactly where your foundation stands in 24 hours.
A custom 30-point AI-readiness audit of your data organization — scored, prioritized, and delivered with a 90-day fix plan — built from the frameworks used inside a top-5 tech company.
30-day money-back guarantee. If you don't find 5+ improvements, full refund.
The #1 reason AI initiatives fail in 2026 isn't the model. It's the data org that was never built to support it.
We were three months into an AI roadmap when this audit showed us our data foundation had 6 critical gaps. Saved us from building on sand.
Better signal than the $120k consulting engagement we did last year. Delivered in 24 hours instead of 12 weeks.
Every executive team racing to AI needs to run this before they spend another dollar on models.
You're investing in AI. Your data is the silent blocker.
In 2026, every serious company is building AI copilots, predictive models, and automated pipelines. All of it depends on one thing: the quality of your data foundation.
And most companies have no idea how strong — or weak — theirs is.
Here's what bad data does to AI:
Bad pipelines → AI agents return confident wrong answers
Undefined metrics → models learn to optimize for the wrong thing
No data lineage → you can't explain why the AI made a decision
Undocumented schemas → copilots hallucinate at scale
No anomaly detection → AI runs on corrupted data for weeks before anyone notices
AI doesn't fix bad data. It amplifies it.
The companies winning with AI aren't the ones with the best models. They're the ones with the best data.
This is the most important infrastructure investment you'll make in 2026.
Three years ago, technical debt meant slow dashboards.
Today, it means your AI strategy is structurally blocked.
Companies with clean data foundations are moving 10x faster on AI than those without. Not because of budget. Not because of talent. Because the infrastructure layer is ready.
This is now a competitive moat.
The companies that fix their data foundation in 2026 will compound that advantage for years. The ones that don't will spend 2027 and 2028 explaining why their AI investments didn't deliver.
The AI Readiness Audit — know where you stand in 24 hours.
This is not a generic checklist. It's a custom, scored assessment built from the same framework used to scale data orgs inside a top-5 tech company.
Complete your audit form
20 minutes
30 questions about your data infrastructure, metrics, reporting, quality, team, and culture. No technical prep. No calls. Answer from what you know today.
Receive your custom AI Readiness Report
Within 24 hours
A scored, personalized PDF with your results, specific gap analysis, and prioritized recommendations — built from your answers, not a generic template.
Execute your roadmap
Starting Monday
Your report gives you a 90-day fix plan with specific priorities, owners, and timelines. Hand it to your team and start building toward AI-ready.
Big 4 AI Readiness Assessment
$80,000–$200,000
12 weeks delivery
AI Ready Analytics
$497
24 hours delivery
What's in the Report
Your AI Readiness Score
Scored across 6 dimensions with clear interpretation: what your score means, what's at risk, and what to do.
The 6 Dimensions
Data Infrastructure
Is your foundation AI-buildable?
Metrics & Definitions
Can AI trust your numbers?
Reporting & Dashboards
Are decisions actually data-driven?
Data Quality
What happens when AI runs on your data?
Team & Process
Is analytics upstream of your AI strategy?
Analytics Culture
Will AI decisions get acted on?
Your Priority Gap Analysis
Not "your metrics are weak." But: "3 of your 5 metrics answers show undefined core KPIs — when your AI model trains on these, it will optimize for inconsistent targets. Here's how to fix it in 30 days."
Your Custom 90-Day Roadmap
Month 1
Priorities based on your actual score. Built for your stage and situation.
Month 2
Priorities based on your actual score. Built for your stage and situation.
Month 3
Priorities based on your actual score. Built for your stage and situation.
Total Value Before Price: $3,591
FAANG Analytics Hiring Rubric
When to hire for AI-readiness, what to test for, and how to avoid a $250k hiring mistake.
AI-Ready Data Stack Guide
The infrastructure layer that makes AI work at your stage. Stop using tools that will block your AI roadmap.
10 Questions Before Any AI/Analytics Investment
The filter used at FAANG before every data and AI project. Saves months of building on the wrong foundation.
Value Stack
Value-to-price ratio: 7:1
A single hour with a Big 4 AI consultant costs more than this entire report.
You get results or you get your money back.
If your report doesn't surface at least 5 specific, actionable improvements to your data foundation — improvements that would materially affect your ability to deploy AI effectively — email us within 30 days for a full refund.
We make this guarantee because every data org has gaps. The only exception would be a company already operating at FAANG scale — and if that's you, you'd know it before buying this.
Choose your level of depth.
AI Readiness Report
Custom scored audit + 90-day roadmap + all 3 bonuses. Delivered within 24 hours. Zero meetings required.
Best for:
Founders and operators who need clarity fast before committing to an AI roadmap.
- 30-point AI readiness audit
- Custom scored report
- 90-day fix plan roadmap
- FAANG Hiring Rubric bonus
- AI-Ready Stack Guide bonus
- 10-Question Investment Filter bonus
Audit + Strategy Session
Everything above, plus a 60-minute 1:1 deep dive on your top 3 gaps with written follow-up and 14 days of async Q&A.
Best for:
Analytics leads who want senior expert eyes on their specific AI readiness blockers.
- Everything in AI Readiness Report
- 60-minute 1:1 strategy call
- Written follow-up document
- 14 days async Q&A support
- Top 3 gap deep dive
Full AI Readiness Audit
Done-for-you. Stack review, team interviews, 15-page boardroom-ready findings doc, custom AI transformation roadmap, exec slide deck.
Best for:
Series B/C companies about to make significant AI infrastructure investments.
- Complete stack review
- Team interviews
- 15-page boardroom-ready doc
- Custom transformation roadmap
- Executive slide deck
- Delivered in 2 weeks
Fractional Head of Data & Analytics
FAANG analytics and AI strategy leadership — without the $350,000/yr hire. Weekly strategy call, async Slack, roadmap ownership, hiring support, AI initiative oversight.
Best for:
Series A–C companies that need ongoing senior data leadership to execute their AI strategy.
- Weekly strategy calls
- Async Slack access
- Roadmap ownership
- Hiring support
- AI initiative oversight
- Ongoing data leadership
This comes from inside the machine — not outside it.
Most "AI readiness" consultants have read about AI data requirements.
This framework was built by someone who spent years insideone of the world's top 5 tech companies — scaling the data organizations that AI products are actually built on.
Current Head of Data & Analytics at a top-5 tech company
Scaled data teams supporting hundreds of millions of users and production AI systems
Expert in data infrastructure, ML feature pipelines, experimentation, and analytics culture
Has seen what separates AI-ready data orgs from ones that are structurally blocked
Not theory. Not frameworks from a whitepaper. The actual infrastructure, processes, and standards that separate AI companies that ship from AI companies that stall.
Frequently asked questions
Know exactly where your data foundation stands.
Get your custom AI Readiness Score, gap analysis, and 90-day fix plan — delivered to your inbox within 24 hours.