Full
visibility into every AI asset
Organizations can’t govern what they can’t see. As AI multiplies across teams and clouds, much of it goes untracked, uncertified, and duplicated. The AI Registry is our system of record for agents, MCPs, prompts, and skills. Every asset we register carries its ownership, lineage, versions, and Agent Passport, so it’s governed before production and reusable across business units.
Search and surface approved agents, MCPs, prompts, and skills through a governed enterprise catalog.
Validate safety, compliance, trust, and operational readiness through built-in certification workflows.
Capture ownership, metadata, lineage, agent passport, versions, certifications, and lifecycle state.
Enable governed adoption, reuse, monitoring, and continuous improvement across business units.
Industry-specific workflows across banking, insurance, healthcare, and retail, purpose-built for regulated sectors.
Software development lifecycle, observability, security, and IT operations across modern and legacy stacks.
Analytics, forecasting, causal inference, and prescriptive intelligence for signal-to-action enterprise decision-making.
visibility into every AI asset
assets before they reach production
duplication and faster adoption
ownership and lineage on every asset
Yes. While tightly integrated with the AI Control Tower and other ADAM capabilities, the AI Registry can operate as a standalone system of record for managing agents, MCPs, prompts, and skills across the enterprise.
Every registered asset follows a certification process that validates safety, security, compliance, operational readiness, and lifecycle status. Certifications, ownership information, and metadata remain attached to the asset throughout its lifecycle.
The AI Registry maintains ownership, certifications, metadata, lineage, versions, lifecycle state, dependencies, and usage information. This provides a complete view of every registered agent, MCP, prompt, and skill.
The AI Registry enables teams to discover approved agents, MCPs, prompts, and skills through a centralized inventory. By improving visibility, certification, and standardization, organizations can reduce duplication, accelerate adoption, and maximize reuse of proven AI assets.