By Tony Bradley
Publication Date: 2025-11-20 23:42:00
Companies want AI to advance quickly, but outdated processes keep slowing them down. The real path to AI acceleration now lies in resolving tensions around governance, transparency and model readiness.
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Companies are scrambling to adopt AI, but most run into the same problem once they get past the initial experiments: progress becomes slower, not faster.
Technology is often not the main problem. The real burden comes from the associated organizational systems – security audits, legal reviews, compliance requirements, cost controls and development workflows that are not designed for the speed of modern AI.
Business leaders want results. Developers want access to the best open source and commercial models. Teams want to experiment without being bogged down by data processing, licensing, or infrastructure uncertainties. But each step raises new questions about risk and governance. A model may outperform everything else a company has tested, but if no one can explain what the data is…
