AI operationalization

AI-Native SAFe: Scaled Agile's Bet on AI Governance at Scale

AI-Native SAFe: Scaled Agile’s Bet on AI Governance at Scale

Scaled Agile has released AI-Native SAFe, a new version of its enterprise framework designed to govern AI-augmented delivery at scale. The release introduces dedicated AI governance roles, explicit human-AI handoffs, and curated data management as first-class framework elements. For enterprises already running SAFe, it’s an evolution path, not a replacement.

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AI Data Readiness Gap: What the 2026 EDM Benchmark Reveals

AI Data Readiness Gap: What the 2026 EDM Benchmark Reveals

The EDM Association’s 2026 Global Data Management Benchmark Report finds that only ~31% of organizations have advanced data strategy capability, even as AI investment accelerates. The result is a widening gap between AI ambition and the data foundations required to deliver measurable results. ECI Research analysis unpacks what this means for IT decision-makers, developers, and the competitive landscape.

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AppDev Q1 26 MIR

AI Moves Into the Operational Core of Software Delivery

Q1 2026 Market Insights Report on enterprise AI operationalization, production readiness, governance, observability, and the execution challenges shaping application development.

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