Report

The AI Data Crisis: Why Most AI Projects Fail

Over 80% of AI initiatives fail. Not because the technology isn’t ready—but because the data isn’t. In this executive brief, Specright’s Chief Product Officer Karthik Rajagopal outlines why fragmented product and packaging data is the biggest barrier to trusted AI—and how a spec-first foundation changes everything.

Updated on
May 14, 2025
  • AI fails without AI-ready data: Most AI initiatives break down not because of the models, but because fragmented, unstructured specification data undermines trust, accuracy, and ROI.

  • Specifications are the true AI foundation: A connected, spec-first data model enables impact analysis, compliance, supplier collaboration, and decision-making that ERP and legacy PLM systems cannot support.

  • Trusted AI requires structure, context, and governance: Explainable, auditable, and secure AI only scales when built on structured specification intelligence with human oversight embedded in workflows.

“Specright enables us to track everything from the early stags of development, to production and end of life. Preparing to use Specright forced us to hold up a mirror and absorb a lot of reflective moments. It was very eye-opening and we feel much better prepared for the future now.”

Brittny Ohr
Director of Product Management, Sugar Foods

Why You Need Specright

When everyone has access to specifications, amazing things happen – faster product development, improved quality, and less waste.

Learn More

With 5 million+ products on Specright’s Specification Data Management (SDM) platform, we’re helping some of the world’s largest companies and challenger brands optimize costs, accelerate innovation, and reduce waste.

See how you can join the Specification Management movement — we’ll start with a brief call to understand your goals and then schedule a tailored demo experience that fits your needs.