Don’t start your AI Governance search with a blank page.
Many organizations know they need stronger oversight for AI, but struggle to define what that means in practical, enterprise-ready terms. What should be included in an RFP? Which capabilities are essential? What proof points will help build internal alignment and justify investment?
To help, we created a practical AI Lifecycle Management and Governance RFP Template you can use as a starting point for your own procurement process. It is designed to reflect the kinds of requirements enterprises are using to evaluate solutions for governing AI across machine learning, GenAI, agentic systems, and third-party models.
The template covers centralized inventory, lifecycle oversight, governance workflows, monitoring, reporting, integrations, and architecture requirements.
Why Download It?
This template is meant to do more than save time.
It can help you:
- build a stronger internal business case for AI governance
- define the requirements needed to operationalize governance in your organization
- align stakeholders around what enterprise AI oversight should include
- evaluate vendors against practical, real-world criteria
- use proven requirements as a starting point instead of building from scratch
The template is based on the types of capabilities organizations are prioritizing as they work to govern AI at enterprise scale.
Get the Template
Fill out the form to download the AI Lifecycle Management and Governance RFP Template in both Excel and PDF formats, and use it as a foundation for your own evaluation process.
What the RFP Covers
The template is organized around the key capabilities enterprises often need when standing up AI governance at scale:
Governance Inventory
A strong AI governance program starts with visibility. The RFP includes requirements for maintaining a centralized inventory of AI use cases and models, including business context, ownership, risk tiering, lifecycle stage, approvals, risks, documentation, code, data, and dependencies. It is built to support oversight across environments, frameworks, and vendor models.
AI Lifecycle Management and Automated Controls
The template outlines requirements for orchestrating governance across the full AI lifecycle — from intake and risk tiering through review, implementation, production monitoring, and retirement. It also includes automation requirements for testing, threshold checks, documentation generation, independent validation, attestations, and regular reviews.
Reporting and Visualization
To support accountability and decision-making, the RFP includes requirements for dashboards, alerts, and integrations with BI tools so teams can track risk, compliance status, review cycles, and production issues across the AI portfolio.
Integrations, Architecture, and Security
Because AI governance has to fit into the enterprise environment, the template also covers APIs, out-of-the-box integrations, templates, authentication, group-based access controls, extensible architecture, and deployment flexibility across cloud, on-prem, and hybrid infrastructure.
