AI, Interrupted: Why 40% of Agentic AI Projects Will Fail — and How to Build Those That Won’t
AI, Interrupted: Why 40% of Agentic AI Projects Will Fail — and How to Build Those That Won’t
Why agentic AI deployments break down and how to build for success with operational and technical blueprints.
Why agentic AI deployments break down and how to build for success with operational and technical blueprints.
Too many agentic AI initiatives stall before reaching production. Analysts forecast more than 40% of projects will be canceled by 2027, underscoring the fragile path from pilot to scale.
AI decision-makers must understand common causes for breakdown — from compliance gaps to cost overruns — and how platform engineering, composable design, and infrastructure maturity can flip the script. Gain a framework for readiness and practical steps to sustain performance.
Flip failures into scalable successes
Flip failures into scalable successes
Many pilots collapse once they face real-world demands such as compliance checks or rising infrastructure costs. By contrast, projects built under platform engineering leadership embed oversight and efficiency from the start, turning fragile experiments into agentic AI systems that are secure and built to scale.
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