EU AI Act: What a ServiceNow AI Control Tower Looks Like
The EU AI Act's phased obligations mean that by 2026, most regulated firms operating in the EU — or serving EU customers — need a defensible answer to a simple question: what AI systems do we actually have, and what risk category does each fall into? Most organisations cannot answer this today.
An AI Control Tower starts with discovery, not policy. Before you can classify risk, you need a complete inventory of AI systems in use — including shadow AI deployed by business teams outside formal procurement. ServiceNow Discovery, extended to identify AI/ML workloads and third-party AI vendors, gives you that inventory automatically rather than relying on a survey nobody completes accurately.
Each AI system then needs classification against the Act's four-tier risk framework — unacceptable, high-risk, limited-risk, and minimal-risk — with the classification logic documented and auditable. High-risk systems (which cover most AI used in credit scoring, HR decisions, and critical infrastructure) trigger a specific set of obligations: risk management systems, data governance, technical documentation, human oversight, and logging.
The governance workflow is where most 'AI governance' initiatives stall — they produce a policy document but no operational mechanism to enforce it. On ServiceNow, this means configuring approval workflows that block a high-risk AI system from production until its technical documentation and human oversight controls are evidenced and signed off.
Ongoing monitoring and audit-readiness complete the picture. Regulators and internal auditors will expect to see a live register, not a point-in-time report. A properly configured AI Control Tower produces a regulatory audit pack — inventory, risk classifications, control evidence — in under 48 hours rather than the weeks it typically takes when the information is scattered across teams.
Karvin's AI Control Tower offering delivers 100% AI asset visibility in 30 days on your existing ServiceNow licence — read the full CEO brief for the delivery model and timeline.
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