Why Most ERP Implementations Fail
Between 50% - 70% of ERP implementations fail. Overspending, missing go-live, or failure to launch. All with the same result. Teams spend months working together, investing millions of dollars to do things right, only to discover that some critical piece was missing. But what if there is more to the story?
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What if we've been approaching the issue completely wrong?
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What if the idea of forcing companies to rebuild how they work to fit a specific ERP system is inherently flawed?
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What if you could build a solution that best of AI and your most valuable workforce together?
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What if there were a way to create an ERP system designed for your business?
Discover how your company can get real value from AI with the adoption of the Agentic Experience, Person + AI Strategy, and the Stewardship Model™ —a business toolset designed to secure your company's path forward.





What Industry Leaders are Saying
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"... a visionary technology leader who drives sustainable innovation and customer-centered transformation across global enterprises."
- Expert Panel at Forbes Technology Council
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"Our pilot site hit target pick accuracy in 11 days; the previous ERP took 90."
- Raj Patel, VP Operations at National Logistics
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"Evan is one of those rare leaders who embrace change and encourage their team to do the same."
- Shipli Gupta, Program Manager at BDO Canada
The Transformation Over Time
Gartner has identified one of the most consequential workforce risks of our era: the accelerating collapse of technical skill relevance.
Previously (Pre-2020)
By 2030 (Projected)
Technical skills retained their value for 8–12 years. Professionals could build deep expertise and rely on it throughout their careers. Learning was periodic, not continuous.
Gartner projects the technical skill half-life will drop to just 2–5 years. This means the knowledge you graduate with today may be partially obsolete before you finish your first job. Continuous learning is no longer optional — it is a survival skill.
Old Signal: Static Expertise
New Signal: Learning Velocity
Employers once hired for what you know. Specific tools, certifications, and domain knowledge accumulated over years. A résumé was a ledger of acquired facts and mastered systems.
Today, employers are hiring based on how fast an associate can learn. Adaptability, intellectual curiosity, and the ability to acquire new skills rapidly are the most valued traits in the AI-era workforce.
Bottom line: The AI Inflection Point is here
The question is not whether transformation will happen — it is whether your organization will lead it or be left behind. The window for first-mover advantage is narrowing.
Frequently Asked Questions



