The governance gap in enterprise AI
Organisations are racing to deploy AI, but governance hasn't kept pace. Business units spin up models in isolation, creating ethical, regulatory, and operational exposures that remain hidden until incidents occur. Without a central inventory, nobody can answer fundamental questions: What AI do we have? Who owns it? What data does it use? Is it compliant?
The EU AI Act introduces mandatory requirements for AI systems based on risk classification. NIST's AI Risk Management Framework demands structured approaches to trustworthiness. Both frameworks require capabilities that spreadsheets and policy documents simply cannot provide: automated classification, continuous monitoring, and auditable evidence trails.
What AI Control Tower delivers
Built on ServiceNow's platform, AI Control Tower provides a unified register for all AI assets — models, datasets, prompts, and systems. Each asset flows through structured governance workflows including risk classification aligned to EU AI Act categories, impact assessments, and approval gates.
Continuous monitoring tracks AI system performance, fairness metrics, and security posture. Automated alerts flag issues before they escalate. Dashboards provide legal, risk, compliance, and technology stakeholders with unified visibility into governance status across the enterprise.
Implementation approach
Pulsar delivers AI Control Tower through a structured 12-week implementation. We start with an AI readiness assessment evaluating your current maturity, then activate the platform with regulatory content packs, configure governance workflows, and integrate with existing Risk, Policy & Compliance, and Security Operations modules. The result is a working governance framework from day one.
Key Outcomes
Central AI inventory with complete visibility across models, datasets, and systems
Embedded compliance workflows aligned to EU AI Act and NIST AI RMF
Continuous effectiveness monitoring for performance, fairness, and security
Regulatory evidence generation with comprehensive audit trails
Structured governance enabling safe AI consumption across business units
Enterprise-wide transparency for legal, risk, compliance, and technology
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