Druid AI

EU AI Act Compliance: Why Vendor Claims Aren't Enough

EU AI Act Compliance: Why Vendor Claims Aren’t Enough

AI, AI Governance, Application Development, Compliance, Enterprise Software /

The EU AI Act creates distinct obligations for AI providers and deployers, and enterprises acting as deployers cannot rely on vendor compliance certifications to satisfy their own requirements. From embedded generative features to auto-drafted content, the exposure points are broader than most legal teams anticipate. ECI Research outlines what ITDMs and developers need to audit now.

EU AI Act Compliance: Why Vendor Claims Aren’t Enough Read More »

Enterprise Conversational AI: Measuring What Matters | ECI Research

Enterprise Conversational AI: Measuring What Matters | ECI Research

AI, Application Development, Customer Experience, Enterprise Software /

Druid AI CEO Joe Kim says enterprise AI accountability has replaced experimentation as the dominant market dynamic. ECI Research examines what that means for ITDMs evaluating conversational AI platforms in banking, healthcare, and beyond. The firms that can show containment rates and after-hours demand coverage will define the next phase of this market.

Enterprise Conversational AI: Measuring What Matters | ECI Research Read More »

Why Enterprise AI Fails Without an Orchestration Layer

Why Enterprise AI Fails Without an Orchestration Layer

Agentic AI, AI, Application Development, Enterprise IT Strategy /

Enterprise AI pilots are failing not because the models are inadequate, but because organizations lack a unified orchestration and governance layer. Druid AI CEO Joe Kim argues that without a single control plane measuring every agent’s actions and defining human handoff points, AI accountability is effectively impossible. ECI Research data on multi-agent adoption and autonomous agent confidence gaps support the case.

Why Enterprise AI Fails Without an Orchestration Layer Read More »