4 articles tagged
Most enterprise AI never reaches production, and much that does shows no measurable return. Five delivery lessons tied to what breaks between a working demo and a system real users trust in 2026.
Five engineering lessons from shipping AI delivery: treat the model as swappable, start with evals not vibes, budget tokens and latency, ground outputs with retrieval, and build security in from day one.
The launch of eCorpIT Insights: five engineering lessons from shipping AI delivery work, covering amplification, evals as infrastructure, human review, token economics, and delivery stability.
From MIT's 95% pilot-failure finding to Gartner's agentic AI warnings, here are 7 AI delivery lessons for enterprise teams: scoping, grounding, evaluation, cost control, governance, and DPDP-ready privacy.
