Turn a broad request for AI help into a clear learning, policy, pilot, or implementation brief—and find the right kind of support.
Begin with your goal, place, access, time, budget, and responsibility. Open the original sources, compare realistic options, and confirm details with the people who maintain them.
Is the need learning, policy, readiness, use-case design, procurement, implementation, or evaluation?
Who owns the work and who will be affected?
What has already been tried and what evidence exists?
What capacity, time, budget, and local constraints matter?
What would success—and a responsible stop decision—look like?
These original and authoritative destinations are annotated so readers know what each contributes, what still requires local confirmation, and when to use it.
Mississippi SBDC
Mississippi SBDC provides counseling, training, and resources for entrepreneurs and small businesses across the state.
It provides a practical support route for business planning, operations, and responsible technology adoption.
Innovate Mississippi
Innovate Mississippi connects entrepreneurs with coaching, capital readiness, networks, and technology-business support.
It provides the startup pathway for coaching, connections, and company development.
NIST
The Playbook provides suggested actions for putting governance, context, measurement, and risk management into practice.
It helps organizations scope governance and implementation support around concrete lifecycle work.
Sources and requirements can change. Check the publication date, read the original material, and confirm the rules that apply locally before making a consequential decision.
Compare purpose, evidence, local access, cost, privacy, accessibility, support, and current source information before choosing a next step.
Use role-based education for leaders, educators, workers, students, and community members rather than one generic introduction.
Clarify authority, risk tolerance, information, approval, procurement, human review, transparency, incident response, monitoring, and review.
Begin with a problem and baseline, compare non-AI approaches, involve affected people, test safely, and measure quality, access, risk, cost, and value.
Plan change, training, workflow ownership, vendor management, support, monitoring, incidents, communication, and exit before scale.
✓ Starting from a specific learner, organizational, or community goal
✓ Opening original sources and recording the review date
✓ Comparing realistic alternatives before committing time, money, or information
× Treating inclusion as endorsement, approval, or ranking
× Relying on a title or summary without checking the current source
× Choosing a tool or program before considering access, privacy, accessibility, cost, and support
Use the comparison and planning tools while reviewing the original resources linked in the evidence section.
Complete one copy for each serious option, then compare the evidence side by side.
Prepare this before contacting a provider.
Turn a broad request such as “help us with AI” into a useful one-page brief.
Name the decision or outcome.
Describe the current state and affected people.
Identify risk, information, authority, capacity, and constraints.
Choose the support category and deliverable.
Define success, handoff, and the next review date.
Will the request build lasting local capability, or leave the organization dependent on a product or consultant?
Share the plan with the people responsible for the work and the people who may be affected. Confirm local rules, protect private information, and name the person who can answer questions or correct a problem.