From AI Pilot to Production: Why Most POCs Never Ship
The real blockers that kill AI deployments after a successful POC: data quality gaps, ops readiness, eval infrastructure, and change management. With fixes.
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7 articles tagged ai-strategy. Browse the full blog.
The real blockers that kill AI deployments after a successful POC: data quality gaps, ops readiness, eval infrastructure, and change management. With fixes.
How to implement AI cost attribution internally: tagging API requests, departmental billing, usage caps, and tools like Helicone and Langfuse that make it.
The most common mistakes when buying AI in 2026: wrong pilot scope, ignoring TCO, no exit clause, and 7 more anti-patterns with real examples and fixes.
Planning AI budgets for 2026: per-team allocation, capex vs opex decisions, chargeback models, and how real organizations are structuring their AI spend.
Practical strategies to avoid AI vendor lock-in in 2026: model abstraction layers, data portability, multi-model architecture, and contract clauses that matter.
How to calculate real ROI on internal AI tools in 2026. Time-saved formulas, productivity measurement, vs replacement framing, and case studies with real.
Run a structured 90-day AI agent pilot. Includes baseline metrics, week-by-week milestones, success criteria, and kill conditions that actually protect your.