Description

Informatica will work with the Customer to establish a foundational understanding of Artificial Intelligence (AI) agent-driven governed data access using Cloud Data Marketplace (CDMP) and Informatica's Data Provisioning Model Context Protocol (MCP).

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 AI-driven governed data discovery, access, and provisioning.

• Assess use cases involving governed data product discovery, access and provisioning requests, approval workflows, approved delivery destinations, and request status retrieval.

• 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 Informatica's Data Provisioning MCP server, subject to Customer-provided access and permissions.

(iii) CDMP MCP working sessions. Up to three (3) one-hour sessions to:

• Review supported Data Provisioning MCP capabilities

• Demonstrate how Artificial Intelligence (AI) agents and MCP-enabled applications can discover governed data products, initiate access or provisioning requests, and retrieve request status without navigating the Cloud Data Marketplace user interface.

• Review supported approval workflows, entitlement controls, and approved delivery destinations.

• Review opportunities to leverage Data Provisioning MCP alongside Cloud Data Integration (CDI) Job Management MCP for initiating approved data delivery workflows.

(iv) Architecture and solution guidance, limited to the following:

• Provide guidance on incorporating governed data marketplace access and provisioning into AI-driven workflows using supported MCP capabilities.

• Review considerations for maintaining data owner approvals, governance policies, entitlement controls, auditability, and authorized provisioning mechanisms.

• Identify integration considerations for connecting approved marketplace requests with CDI job execution for delivery to authorized target platforms.

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 using out-of-the-box capabilities. 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. Development of new MCP surfaces is excluded.

(viii) Data access and provisioning operations will be limited to supported capabilities and subject to existing Customer approval workflows, governance policies, and entitlement controls.

(ix) Integration with CDI Job Management MCP will be limited to architecture guidance and demonstration of supported capabilities using existing, approved CDI jobs. Development of new integration pipelines, provisioning workflows, or custom orchestration is excluded.

Customer Prerequisites
Business/Technical Outcomes

• Data Provisioning MCP capabilities reviewed and mapped to Customer use cases

• Up to three (3) candidate AI agent-driven marketplace use cases assessed

• AI agent-driven data-product request and approval workflow outlined

• Human approval and governance checkpoints identified

• Approved provisioning and target-delivery options identified

• Marketplace-to-CDI orchestration pattern defined, where applicable

• Audit, entitlement, and operational-control requirements identified

Document Deliverables

• Headless Cloud Data Marketplace MCP product documentation

• Data Provisioning MCP Use Case Summary

• Marketplace Agent Interaction Flow

Actions
Add to Favorites
Engagement Details
Catalog Type

PSU Catalog

Units Required

8

Products

Cloud Data Marketplace

Engagement Type

Professional Services Units

Adoption Stage

Design

Plan

Engagement ID

PSU-HDL-005

Units Range

1-25 units

Release Date

November 2026

Offering Type

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.

Success

Link Copied to Clipboard