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A new MIT study found that 85% of AI projects fail to reach production (Gartner), and most that do launch deliver disappointing ROI. Companies invested $200B in AI in 2025, yet AI tools complete only 30% of real-world office tasks. The problem isn't AI technology—it's that companies make the same implementation mistakes that guarantee failure.
Source: MIT report "The GenAI Divide: State of AI in Business 2025" | Read full study coverage →
Companies pick AI projects that can't generate measurable revenue. No clear connection to customer willingness to pay or cost reduction.
Bad data quality, wrong vendors, insufficient resources, unrealistic timelines. Technical failures that doom projects before they start.
Random AI pilots with no connection to business strategy. No clear ROI targets, no integration plan, no long-term vision.
ENVOLVP serves enterprise leaders who need strategic intelligence to recover from AI failures or make high-stakes AI investment decisions.
Companies that invested $50K-$500K+ in AI initiatives but are not seeing expected returns. You have the budget to salvage value from your investments and need strategic intelligence to avoid repeating mistakes.
Finance, Healthcare, Insurance, Legal sectors where AI failures carry high costs and regulatory risks. You need diagnostics to manage risk, ensure compliance, and protect your reputation.
CTOs, Chief Data Officers, Heads of AI/ML, Directors of Innovation who need to understand where projects went wrong—whether in strategy, data, implementation, or vendor management—to make informed decisions.
If you've invested in AI and aren't seeing results, or need strategic intelligence for a high-stakes AI decision, we can help. Contact us to discuss your specific situation.
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Receive email questionnaire. Reply with 5 data points about your company and AI attempt. Takes 5 minutes.
We analyze using our database of 200+ AI failures. Identify your failure pattern and solution.
Receive 10-page PDF via email in 24 hours. One revision round included.
ENVOLVP's diagnostic framework is built on comprehensive analysis of documented AI implementations from peer-reviewed research, industry case studies, and public financial disclosures.
50+ peer-reviewed papers on AI implementation from MIT, Stanford, and Harvard Business Review. Published failure pattern analysis from 2019-2024.
150+ public case studies from companies. McKinsey, BCG, and Gartner AI reports analyzed across 15 industries.
Public SEC filings, earnings calls, and M&A documents revealing quantified AI impact measurements.
"Every ENVOLVP diagnostic references actual documented cases—not theory or speculation. When we identify your failure pattern, we show you what similar companies did to fix it."
If you need deeper analysis beyond the diagnostic, choose from our comprehensive reports. All purchases include full $995 credit if you've already purchased the diagnostic.
25-30 pages • 3-5 days • Helps avoid costly repeat failures
Board-ready restart plan that prevents repeating your $500K mistake. Includes revised implementation roadmap, vendor evaluation framework, success metrics dashboard, risk mitigation playbook, budget reallocation plan, and stakeholder communication templates. Clients report 10x-50x ROI based on avoided repeat failures.
30-35 pages • 5-7 days • Justifies $1M+ AI investment decisions
Know exactly what your competitors are doing with AI before you invest. Deep analysis of 5-10 competitors' AI strategies, feature comparison matrix, revenue impact modeling, technology stack analysis, timeline benchmarking, and strategic recommendations. Worth 75x-150x the investment when it prevents competitive blind spots.
25-30 pages • 5-7 days • Saves $100K-$500K in bad vendor decisions
Avoid vendor lock-in and hidden costs before signing $500K contract. Independent evaluation with vendor comparison matrix for 5-7 vendors, total cost of ownership analysis, integration complexity assessment, risk analysis, feature gap analysis, and negotiation leverage points. Worth 10x-50x the investment in avoided costs and better contract terms.
All reports include 50+ authoritative sources, one revision round, and money-back guarantee. 100% email-based delivery.
Get everything you need to diagnose, fix, and restart your AI strategy with complete confidence. All four services bundled together.
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Research-backed intelligence from MIT, Stanford, McKinsey, and Fortune 500 companies—not opinions or generic consulting frameworks.
CEO & AI Implementation Diagnostics Expert
Premium strategic intelligence platform serving Fortune 500 executives, SaaS founders, and private equity partners. Specializing in transforming complex AI failure patterns into actionable recovery strategies for high-stakes business decisions.
With 15+ years of experience in data analytics and AI transformation at Boeing, AT&T, and other Fortune 500 companies, Lloyd has analyzed over 200 documented AI failures to identify the exact patterns that cause 85% of AI projects to fail.
"I spent over a decade embedded in the world's most demanding environments—U.S. military bases from Kuwait to Kansas, and oil fields from the Gulf of Mexico to the North Sea. I've seen large-scale software projects succeed because of clean data… and fail because of hidden assumptions. Now I help leaders diagnose their AI and software risks before they waste another dollar."
— Lloyd Igbokwe, CEO & Founder
Client Portfolio: Technology • Financial Services • Healthcare • Advanced Manufacturing • Private Equity • Media & Entertainment
Delivered emergency diagnostic intelligence within 24 hours for strategic decisions with significant business impact
Every diagnostic and report is built on analysis of 200+ documented AI failures from MIT, Stanford, McKinsey, and Fortune 500 case studies—not generic consulting frameworks or unproven theories. This research-backed approach delivers 95%+ accuracy with real-time verification.
Don't waste more money on AI that doesn't work. Get a focused diagnostic that identifies exactly why you got zero ROI and what to do differently. $995. 24-hour delivery. Money-back guarantee.
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