Checklist

From Predictions to Practice: Preparing Your Organization for AI in 2027

As AI gains capabilities and connections, its responsibilities can outgrow the conditions behind its approval. Who remains accountable? What is an agent authorized to accomplish? When should a change trigger reassessment?

Use this AI governance checklist to work through 29 checks across six priorities and identify the decisions your teams need to resolve before deploying AI or expanding its use.

Document illustration with a 2 column checklist on it atop a multi gradient green background

First Name *

Last Name *

Email *

Job Title *

Company *

Country *

Phone Number

Solutions of Interest

By selecting this option, your data can be stored for future forms. You can learn more about how we handle your personal information and your rights by reviewing our Privacy Notice.

Please fill in all the required fields

Details:

Download this practical checklist to turn the 2027 AI governance predictions into decisions about ownership, controls, and evidence. Designed for business owners and governance leaders, it helps teams examine whether approval conditions remain effective as AI operates and changes.

Use the checklist to review:

Accountability after approval: Clarify who owns business consequences, accepts remaining risk, and resolves exceptions when responsibility crosses teams.Assurance that supports adoption: Determine whether evidence covers the capability under consideration and answers questions that could delay customer activation or investment.
Agent authority: Define permitted objectives and business limits. Examine whether individually permitted actions can combine into an unauthorized outcome, and where intervention is needed.
Changes that require reassessment: Identify when new capabilities, connections, or data access alter approval assumptions, and assign responsibility for responding.
Customer choices and data use: Trace information from AI conversations into subsequent processing and examine whether refusal or withdrawal changes what happens downstream.
Regulatory preparedness: Connect applicable requirements to operational responsibilities and evidence, with prompts covering the United States, European Union, United Kingdom, South Korea, and Brazil.

Each section pairs checks with a leadership question. A closing planning table helps you record priority gaps, decision owners, required evidence, and timing. Bring the findings into your next planning discussion to agree what needs attention before AI use expands.

Read the research and expert perspectives behind these priorities in the OneTrust 2027 Predictions Report Architecting AI Governance: Blueprints for a Moving Maze.