Solution
AI Strategy & Governance
Model, govern, and scale AI adoption across your enterprise. Track every AI initiative from experiment to production with architecture-level visibility.
The Challenge
Why AI initiatives need architecture governance
Shadow AI proliferating across teams with no central visibility or governance
No standard way to assess AI readiness of existing systems and data pipelines
AI models deployed without documented architecture, data lineage, or risk assessment
Compliance and ethical requirements (EU AI Act, NIST AI RMF) require structured governance
How ArchNova Helps
Your workflow with ArchNova
Inventory your AI landscape
Map all AI initiatives — models, datasets, pipelines, and integrations — into your enterprise architecture. AI auto-discovers ML workloads from cloud providers.
Assess readiness and risk
Score each initiative on data quality, infrastructure readiness, compliance, and ethical risk. Identify gaps before scaling.
Design AI-ready architecture
Model target-state architecture for AI platforms, data pipelines, and MLOps. Use reference architectures from the AI Strategy industry pack.
Govern at scale
Track AI initiatives through lifecycle stages. Automated compliance checks against EU AI Act, NIST AI RMF, and internal policies.
Key Capabilities
What you get
AI portfolio management
Central registry of all AI models, datasets, and initiatives.
Readiness assessment
Score systems on AI readiness — data, compute, skills, and governance.
Enterprise AI Studio
Dedicated workspace for managing AI initiatives at scale.
Risk classification
EU AI Act risk tiers and NIST AI RMF alignment built in.
Data lineage
Trace data from source through transformation to model consumption.
AI governance workflows
Approval gates for model deployment, monitoring, and retirement.
Expected Outcomes
Results you can measure
Ready to get started?
Request access and see how ArchNova transforms your architecture practice.