Practical guides on AI agent governance, EU AI Act compliance, cost optimization, and building observable AI systems.
AI FinOps attributes LLM spend to the work it actually produces and governs it against outcomes, not invoices. Infrastructure data shows most token spend is recomputed or removable. The fix is measuring cost per successful task.
On June 2, 2026 a US executive order made federal AI policy deregulatory and voluntary, with no mandate to log, monitor, or audit deployed AI. For US companies whose AI output reaches the EU, that changes nothing. Here is why, and what the two-regime gap means in practice.
A new academic paper maps EU AI Act compliance as a 12-step lifecycle with a closed feedback loop on post-market drift. Most observability stacks stop at step 7. Here is the gap.
Article 12 of the EU AI Act requires automatic record-keeping of high-risk AI system events over the system's lifetime. Most observability stacks capture data; they do not produce evidence. Here is the gap, and the practical checklist to close it.
The EU AI Act has two enforcement tracks for high-risk AI — an earlier one for standalone Annex III systems and a later one for AI embedded in regulated products. Both were provisionally postponed under the 2026 Digital Omnibus agreement, but most enterprise AI agents still fall under the earlier track. Here's the Article 6 precision your compliance team needs.
AI agent governance is how enterprises inventory, monitor, control, and audit their AI agents. This guide covers what it includes, how it differs from bot governance and AI safety, the frameworks that apply, and how to implement it before the EU AI Act deadline.
The EU AI Act's high-risk obligations were provisionally postponed to December 2, 2027 under the 2026 Digital Omnibus agreement. Here's a practical guide to compliance for organizations deploying AI agents — risk classification, audit trails, HITL, and FRIA.
Token spend is the new cloud bill — invisible and growing fast. Here's how to get visibility into AI agent costs and prevent budget overruns.
Shadow AI agents — deployed without IT oversight — are the biggest ungoverned risk in enterprise AI. Here's how to find them and bring them under control.
An AI agent control plane is to AI agents what Kubernetes is to containers — the infrastructure layer that makes them observable, governable, and cost-efficient.
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