Levitation Blog: Insights on AI, Software Engineering & Digital Transformation

A 1,000-run protocol reveals why AI agent reproducibility breaks, where decision tracing fails, and how observability can improve enterprise AI governance.

Before adding clinic users, compare the cost to build a custom CRM with the workflow, patient-data, and scaling problems it can prevent.

Task-aware AI compression can erase the context needed to explain decisions, exposing enterprises to auditability and compliance risks.

Separate MLOps approval delays from hands-on review time to identify bottlenecks, compare deployment benchmarks, and speed up production releases.

Clinical AI integration can route imaging insights into PACS and FHIR workflows, eliminating fax delays, manual handoffs, and patient bottlenecks.

10,000 clinical queries show how RAG and AI agents differ in answer quality, human escalation rates, and healthcare readiness.

AI data contracts prevent schema drift and training-serving skew by enforcing feature schemas across pipelines, exposing mismatches before models degrade.

Strong per-use-case hospital AI ROI can hide system-level losses. See how fragmented clinical AI deployments quietly drain budgets and outcomes.

AI agents need workload identity in audit logs. Without proper attribution, non-human identities become invisible engineers you can't track or secure.

A ₹12 lakh Noida ERP failed and killed 4 tools. Ops rebuilt them in spreadsheets. The real ERP implementation cost India hides.

Your AI agent ships in hours, but vendor onboarding takes 6 weeks-that gap is where AI agent risk lives. Here's how to close it.

Inference spikes 10x in seconds-your AI cost dashboard averages it away. Stop GPU burst costs from blowing your FinOps budget.