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Enterprise AI’s one governed view

Organizations can’t govern what they can’t see. As enterprise AI multiplies across teams and clouds, most of it goes untracked, uncertified, and duplicated. ADAM AI Registry makes every AI asset visible and accountable, so nothing reaches production unseen and nothing valuable is rebuilt from scratch.

Beyond discovery. Toward governance

The registry is the enterprise system of record for four asset types: agents, MCPs, prompts, and skills. Each moves through a four-stage lifecycle of discover, certify, register, reuse, carrying ownership, lineage, versions, and an agent passport, governed before production and reusable across every business unit.

The four-stage lifecycle

What the registry delivers

Agent Registry

Centralized inventory of governed agents with ownership, certification, lifecycle status, and agent passports.

MCP Registry

Certified MCP servers, tools, integrations, and dependencies with operational metadata, centrally governed.

Prompt Registry

Reusable, version-controlled prompts governed through enterprise policies, validation workflows, and standardized reuse.

Skill Registry

Curated repository of reusable skills, workflows, capabilities, and business-aligned enterprise AI functions.

Agent categories

Domain

Industry-specific workflows across banking, insurance, healthcare, and retail, purpose-built for regulated sectors.

Engineering

Software development lifecycle, observability, security, and IT operations across modern and legacy stacks.

Decisioning

Analytics, forecasting, causal inference, and prescriptive intelligence for signal-to-action enterprise decision-making.

Outcomes that compound

Visible

Every AI asset, one inventory

Certified

Safety proven before production

Reusable

Less duplication, faster adoption

Governed

Ownership and lineage always attached

Frequently asked questions about AI Registry (FAQs)

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.

How Mature Is Your AI Strategy?