Resect AI has launched from stealth with $25 million in funding, targeting the hallucination and governance gap blocking enterprise AI adoption. The company claims it can observe and modify LLM behavior from the inside. ECI Research data shows hallucination distrust is already one of the top blockers for government developers.
Resect AI Launches With $25M to Build an AI Accountability Layer Read More »
The EU AI Act’s binding rules for AI in consumer finance set an accountability standard that will inevitably reach capital markets. Firms relying on fragmented documents and manual approval chains can’t produce the audit trail regulators will require. Tokenization offers one structural path forward — but the window to build proactively is closing.
EU AI Act: What Capital Markets Firms Must Do Now Read More »
The EU AI Act’s transparency requirements are now enforceable, and most enterprises are not structurally ready. Kore.ai’s CSO warns of “governance debt” — AI initiatives that stall not because the technology fails, but because the oversight infrastructure was never built. ECI Research breaks down what this means for ITDMs and engineering teams.
EU AI Act Transparency Rules: The Governance Debt Risk for Enterprises Read More »
Enterprise AI governance frameworks have focused on access control and data inputs, leaving output quality and compliance largely unmanaged. Markup AI is making the case for enforceable content standards that apply to what AI produces, not just what goes in. ECI Research data shows governance spending is rising, but organizations need to ensure it’s solving the right problem.
AI Output Governance: The Blind Spot in Enterprise AI Strategy Read More »
GitLab’s AI Accountability Report surveyed 1,528 developers and technology buyers and found that AI code generation has outpaced the controls needed to manage it. Eighty percent of organizations adopted AI coding tools before building governance policies, and 43% cannot reliably distinguish AI-generated code from human-written code in their own codebase. The accountability phase of AI-assisted development has arrived, and most enterprises are not ready.
AI Code Governance: GitLab Report Reveals a Control Crisis Read More »
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 »
Enterprise AI success now depends on governance, data readiness, and operational accountability at scale.
Agentic AI Governance Is Becoming the Real Enterprise Bottleneck Read More »
AI adoption is forcing public sector agencies to rethink vendor risk, governance, and data portability in enterprise software procurement.
AI Forces a Governance Reset in Public Sector Software Read More »
Axonis launches federated Decision Intelligence to embed AI governance, traceability, and MCP control into hybrid enterprise workflows.
Axonis Targets the AI Trust Wall With Federated Decision Intelligence Read More »
Liveops launches LiveNexus, an AI and human orchestration platform focused on governed, production-grade CX modernization.
LiveNexus Signals a Pragmatic Turn in Enterprise AI-Driven CX Read More »