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Topic

Governance & EU AI Act

Policies, human review, risk ownership, SME governance, and regulatory readiness.

7 stories (3 articles · 4 videos)

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A few good first pieces before you browse the full feed.

9 min read
Article

EU AI Act for SMEs: a practical governance plan

The EU AI Act is not just a legal problem for large vendors. A practical SME plan for inventory, risk classification, human oversight, transparency, vendor records, and rollout discipline.

Create a practical AI governance baseline for an SME using AI tools, automations, or customer-facing systems in the EU.

Advanced
9 min read
Article

Human-in-the-loop design patterns for AI workflows

Human review is not a vague safety blanket. A practical guide to deciding what humans approve, sample, audit, escalate, or never delegate in AI workflows.

Choose the right human review pattern for an AI workflow and define approval, sampling, audit, escalation, and stop rules before launch.

Intermediate

More in this topic

18 minutes
Video

AWS re:Invent 2025 - Implementing Human-in-the-Loop Controls for Multi-Agent AI Systems (CNS428)

AWS Events. This lightning talk names the business moments where human control is needed: high-stakes decisions, irreversible actions, regulatory requirements, trust-building phases, ambiguous edge cases and graceful degradation. It also shows concrete implementation mechanisms such as MCP elicitations, Step Functions callback waits and approval nodes.
Intermediate
17 minutes
Video

12-Factor Agents: Patterns of reliable LLM applications — Dex Horthy, HumanLayer

AI Engineer. Dex Horthy explains why reliable agent systems are mostly disciplined software around a few LLM calls: own the prompt, own the context window, keep control flow deterministic and use tool calls to contact humans when the workflow needs judgment. That maps directly to the article's approval, exception and escalation patterns.
Intermediate
59 minutes
Video

From Hype to Habit: How Tech Companies Are Scaling AI Beyond the Experimental

Propeller Consulting. Discusses governance, operating discipline, workforce adoption and ROI measurement as connected parts of scaling AI beyond experiments. That fits the article's maturity model because adoption is treated as changed work with owners and metrics, not as tool usage or workshop attendance.
Advanced
33 minutes
Video

The AI Engineer's Guide to Surviving the EU AI Act

GOTO Conferences. Connects the EU AI Act to data quality, MLOps, documentation and post-deployment monitoring. That makes it a good companion for the article's SME governance baseline: the work starts with knowing the system, data, owner, purpose and controls, not with buying a compliance platform.
Advanced
9 min read
Article

AI ROI and maturity: how to measure adoption that actually works

AI adoption should not be measured by how many people tried ChatGPT. A practical framework for measuring workflow ROI, quality, risk, maturity, and scale-readiness.

Measure AI adoption using workflow ROI, quality, risk controls, and maturity levels instead of tool usage vanity metrics.

Advanced