Agent Maturity Curve
Articles about Agent Maturity Curve. Insights on AI agent governance, security, and agentic control from Prefactor.
Multi-agent observability: spans, scores, and schema validation
Cross-boundary spans, per-agent quality scores, and schema validation isolate failures in multi-agent systems before they compound across the chain.
Why 88% of agent pilots fail to reach production
88% of agent pilots never reach production. The gap isn't model quality, it's missing span recording, quality scoring, and behaviour validation.
How to assess AI agent readiness before production deployment
Agent readiness depends on four maturity indicators and four evaluation gates, not model quality or pilot performance alone.
How to measure agentic workflow costs beyond token pricing
Token prices fell 67% yet most enterprises still overspent on AI. Iteration count, model switching, and tool call overhead are the real cost drivers.
Why AI agents stall between deployment and production scale
97% of companies have deployed AI agents, but only 11% run them at scale. Span instrumentation, schema validation, and incident scoring close that gap.
Agent capability boundaries: where models fail and why
Agents fail at predictable capability boundaries tied to task duration, tool access, and production load. Knowing the stage tells you what to test.