Informatica will work with the Customer to establish a foundational understanding of headless data governance using Informatica's Cloud Data Governance and Catalog (CDGC) Model Context Protocol (MCP) servers.
Key activities include:
(i) Discovery and use case assessment. Up to two (2) one-hour sessions to:
• Review Customer requirements and identify candidate use cases for Artificial Intelligence (AI)-driven data governance.
• Assess use cases involving metadata search, asset discovery, classification, and metadata enrichment.
• Evaluate and confirm the complexity and scope of up to three (3) agreed-upon use cases.
(ii) MCP client setup for one (1) client, limited to the following:
• Set up and configure one (1) supported MCP client using out-of-the-box capabilities.
• Establish connectivity to the agreed-upon Informatica CDGC MCP servers, subject to Customer-provided access and permissions.
(iii) CDGC MCP working sessions. Up to three (3) one-hour sessions to:
• Review the Catalog Discovery Server, Catalog Enrichment Server, and CDGC Metadata Search Server.
• Demonstrate supported MCP capabilities for discovering, searching, and verifying governed data assets through the configured MCP client.
• Review applicable write/action operations, such as auto-tagging and classification changes, where supported and agreed upon.
(iv) Architecture and solution guidance, limited to the following:
• Provide guidance on how AI agents can leverage supported CDGC MCP capabilities without direct interaction with the Intelligent Data Management Cloud user interface.
• Review authentication, authorization, access controls, and human-in-the-loop approval considerations for metadata modification.
Notes:
(i) Discovery activities are limited to a maximum of two (2) sessions, and MCP working sessions are limited to a maximum of three (3) sessions.
(ii) MCP client setup is limited to one (1) supported MCP client. Custom MCP client development is excluded.
(iii) Informatica will evaluate and confirm the complexity of Customer use cases and determine how many (up to three (3)) will be addressed within the working sessions.
(iv) Informatica will not develop or implement multi-agent orchestration.
(v) Custom MCP server development, extensions, or builds are excluded.
(vi) Demonstrations and assessments will leverage only currently supported, generally available or preview Informatica MCP surfaces.
(vii) Write/action operations will be considered only where supported by the available MCP surfaces and subject to appropriate human-in-the-loop approvals before modifying governed metadata.
• Active CDGC instance with catalog assets loaded
• MCP server access enabled for the Customer's environment
• Customer-provided MCP-compliant client or AI agent platform identified for evaluation
• Customer to provide a list of relevant stakeholders (e.g. security and IDMC access control representatives, governance administrators and any AI Corporate Governance team members) and ensure their availability to participate in workshops and setup activities, knowledge transfer sessions and reviews
• Configured API service accounts and authentication entitlements for MCP server access
• Customer to provide the required MCP client environment, access credentials, permissions, and connectivity to the applicable Informatica services
• CDGC MCP server capabilities reviewed and mapped to Customer use cases with one (1) or more of the following:
(i) Catalog Discovery server
(ii) Catalog Enrichment server
(iii) CDGC Metadata Search server
(iv) CDGC Data Quality Score server
• Up to three (3) candidate AI agent-driven integration use cases assessed
• Headless discovery and enrichment workflow outlined
• Governance/curation checkpoints identified for AI agent-driven metadata changes
• Headless CDGC MCP product documentation
• Governance Agent Interaction Flow & Architecture Diagram
PSU Catalog
10
Cloud Data Governance and Catalog
Professional Services Units
Design
Plan
PSU-HDL-001
1-25 units
November 2026
A la carte
Additional Information
Professional Services Units can be converted into Training Units upon written request submitted to the Customer’s assigned Informatica Delivery Manager. The conversion ratio is one (1) Professional Services Unit to ten (10) Training Units. The converted Training Units can be used for any training currently offered in the Informatica University catalog other than training subscriptions. View available learning paths or log in to browse the full Informatica University catalog at https://now.informatica.com/All-Training-Paths.html. Educational Services are governed by the description and terms at https://now.informatica.com/Informatica-University-Terms.html.