Time-to-Production:The Critical Metric for Enterprise AI
Discover the hidden “iceberg” of integrations, compliance, and observability that slows AI projects and how agentic workflows, orchestration, and governance can shrink deployment timelines and costs.
What is the Whitepaper About?
From Demos to Deployment: Why Time-to-Production is the Real AI Bottleneck
This whitepaper explores the hidden barriers that prevent most AI pilots from reaching production and how to overcome them. While AI demos often look promising, 88% of them never make it into real workflows. The core reason? Engineering teams underestimate the complexity of moving from a prototype to a production-ready system.
What To Expect?
Why 88% of AI pilots fail to reach production and what teams miss
The true cost of long deployment cycles: rework, tech debt, and missed ROI
A breakdown of the “Iceberg Effect” and what lies beneath the demo
Step-by-step stages from POC to production (integration, compliance, scaling)
How to measure and improve the unit economics of deployment time
Transform Your Engineering Operations
See how Kubiya can revolutionize your workflows with AI-powered automation, reducing costs and boosting productivity.
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