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AI Inventory Data Model in ServiceNow, How can we utilised in Enterprise Architecture?

SK Chand Basha
Kilo Patron

Hello Everyone,

@CMDB Whisperer 

We are exploring the AI Inventory capabilities in ServiceNow and would like to understand how the AI Inventory data model can be effectively utilized within Enterprise Architecture (EA/APM).

After submitting an AI Use Case Intake Form, the associated Product Model gets linked to a Business Application through the table sn_apm_ws_ba_product_model_map.
What is the purpose of this relationship from an Enterprise Architecture perspective?
We are not able to see AI Systems tab in Business application in Application Portfolio?



 

1 REPLY 1

Vikram Reddy
Tera Guru

Hi @SK Chand Basha,

 

The sn_apm_ws_ba_product_model_map relationship exists so Enterprise Architecture can attach an AI capability to a Business Application the moment intake happens, before that AI is tied to a CI or even deployed anywhere. That timing is the whole point of the design, so it's worth walking through how the AI Inventory model fits together and why EA cares about that separation.

ServiceNow's AI Inventory model (the foundation under AI Control Tower, aligned to CSDM v5) is built in three layers, and each one answers a different question:

  • AI Product Model: what type of AI this is, a catalog-level record shared across every deployment, e.g. "GPT-4o" or an internal "Incident Summarization" agent
  • Digital Asset: who owns it and what its risk posture is, created at intake and carrying steward and risk-tier data even before anything is live
  • Configuration Item: where it's actually running, one CI per environment or region, so a single agent deployed across three regions ends up as 1 Product Model, 1 Digital Asset, and 3 CIs

When someone submits the AI Use Case Intake Form, the Product Model gets linked to a Business Application through sn_apm_ws_ba_product_model_map, deliberately independent of any CMDB or CI relationship. That's the useful bit for EA: you get a capability-to-AI dependency line, "this Business Application relies on this type of AI," the moment intake happens, well before Discovery or a deployment pipeline ever creates a CI. Practically that lets you roll up AI investment and risk at the portfolio level in Application Portfolio Management without waiting for operational tracking to catch up, feed rationalization and lifecycle decisions on a Business Application with an accurate read on what AI it's actually betting on, and run impact analysis in the other direction too, if a Product Model's risk tier changes, you can immediately see every Business Application that intake tied it to.

On the missing AI Systems tab: that related list is delivered by AI Control Tower itself, not core APM, so it only shows up once that app is installed and the Business Application has AI systems linked to it. If you're on Pro Plus or Enterprise Plus, a subset called "AI Control Tower for Now Assist" installs automatically alongside the Generative AI Controller plugin, but the full AI Inventory experience is its own plugin activation. Worth checking whether AI Control Tower is actually active and whether your role has access to the AI Governance Workspace, the tab won't render without both even if intake and the mapping table are working correctly.

 

Thank you,
Vikram Karety
Octigo Solutions INC