MAIN Resource Hub

AI Playbooks for Mississippi Workplaces

MAIN AI Playbooks turn responsible AI principles into practical workplace action. Each playbook combines appropriate use cases, step-by-step workflows, starter prompts, safeguards, checklists, and a clear path to implementation.

1 Available Playbook
30-Day Pilot Framework
5 Manufacturing Workflows
MAIN Mississippi AI Resource

Start with the work

What is a MAIN AI Playbook?

A MAIN AI Playbook is a voluntary planning and workforce resource that helps an organization move from interest to a controlled AI pilot. It does not replace legal, cybersecurity, safety, engineering, compliance, 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

A practical guide for plant leaders, supervisors, operations, quality, maintenance, supply chain, engineering, HR, and training teams. Use it to select appropriate AI use cases, protect information, run a 30-day pilot, review outputs, and measure results.

  • Manufacturing AI risk map
  • Five step-by-step workflows
  • Starter prompts and verification checks
  • 30-day pilot plan and scorecard
  • Tool, data, cybersecurity, and incident safeguards

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.

  1. Define the workflow

    Describe the current task, owner, inputs, outputs, reviewers, pain points, and consequences of error.

  2. Assess the risk

    Check the data, tool, user, integration, audience, legal obligations, and potential impact before testing.

  3. Run a bounded pilot

    Name an accountable owner, train a small group, use approved information, require review, and document issues.

  4. 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 guides

Policy templates: govern AI

Use policy templates when leaders need to define responsibilities, acceptable uses, approvals, data rules, oversight, and review cycles.

Browse policy guides

Need help adapting a playbook?

MAIN can help organizations think through responsible AI adoption, workforce training, stakeholder engagement, and practical implementation steps.