Start with the work
What is a MAIN AI Playbook?
A MAIN AI Playbook is a voluntary planning, learning, and workforce resource that helps people move from interest to a controlled AI practice or pilot. It does not replace institutional policy or qualified legal, cybersecurity, safety, engineering, compliance, accessibility, or professional review.
Use cases
Understand where AI may help, where additional controls are needed, and where people must retain decision authority.
Workflows and prompts
Follow practical examples that include inputs, prompts, verification steps, and clear limitations.
Safeguards
Protect confidential information, check outputs, evaluate tools, document important uses, and prepare for incidents.
Implementation
Name an owner, choose a bounded pilot, train participants, measure results, and decide whether to continue.
Available now
Choose a practical AI playbook
Begin with the setting that best matches your work, then adapt the guidance to your organization, tools, data, contracts, workforce, and risk tolerance.
Manufacturing
Manufacturing AI Playbook
Choose appropriate use cases, protect information, run a controlled 30-day pilot, review outputs, and measure results across plant and business workflows.
Higher Education
Faculty AI Playbook
Set clear course rules, design learning-centered assessments, protect student information, review AI-assisted work, and keep faculty judgment accountable.
Students
Student AI Playbook
Understand course rules, use AI to support learning, protect personal information, verify outputs, disclose assistance, and submit work responsibly.
Related coordination guide
One course. Two systems. Clear AI expectations.
The AI + Dual Enrollment Guide helps Mississippi K-12 and postsecondary partners coordinate academic authority, technology access, privacy, student support, integrity processes, and AI literacy.
AI + Dual Enrollment Guide
Use the guide when a college course and a K-12 environment need one coordinated answer for AI permissions, tools, student data, access, and responsible learning.
From interest to evidence
How to use a MAIN AI Playbook
Use the playbook with the people who own the work, the information, the technology, and the consequences. The goal is a measured decision–not AI adoption for its own sake.
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Define the workflow
Describe the current task, owner, inputs, outputs, reviewers, pain points, and consequences of error.
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Assess the risk
Check the data, tool, user, integration, audience, legal obligations, and potential impact before testing.
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Run a bounded pilot
Name an accountable owner, train a small group, use approved information, require review, and document issues.
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Decide with evidence
Compare quality, total time, consistency, usefulness, and risk, then continue, revise, pause, or stop.
Playbooks, prompts, and policies serve different needs
Playbooks: adopt AI
Use a playbook when your team needs workflows, safeguards, pilot steps, review checks, and a practical implementation path.
Prompt libraries: complete tasks
Use MAIN’s prompt libraries when you need editable examples for a specific role or day-to-day task.
Browse prompting guidesPolicy templates: govern AI
Use policy templates when leaders need to define responsibilities, acceptable uses, approvals, data rules, oversight, and review cycles.
Browse policy guidesNeed help adapting a playbook?
MAIN can help organizations think through responsible AI adoption, workforce training, stakeholder engagement, and practical implementation steps.