2026 Data-Centric AI Adoption Whitepaper

Only 5% of enterprise GenAI pilots succeed. The gap between proof of concept and production isn't a model problem — it's a trust problem.

When AI outputs can't be validated, verified, or traced back to domain expertise, employees don't wait around. They quietly route around your tools and reach for ChatGPT instead. Gartner reports 69% of organizations already know it's happening. The security risk is real. The productivity loss is compounding.

High-performing enterprises have figured out the fix. Kili Technology's 2026 report breaks down exactly what they're doing differently — and how to replicate it.

Inside the report:

• Why shadow AI is a symptom, not a behavior problem — and the output trust gap driving employees away from approved tools
• The three pillars of SME-driven AI — Day Zero expert integration, faster collaborative iteration, and security and auditability as scale enablers
• Three data workflow architectures explained — AI/ML pre-labeling, programmatic labeling, and active learning, each with expert validation built in
• Real case studies across finance, healthcare, and legal — with concrete outcomes including 50% faster model deployment and regulatory adaptation times cut from months to weeks

Download the free report and build the expert-driven foundation your enterprise AI program is missing.