The LearningForce

AI and Problem Solving

Date: December 10, 2026
Time: 9:00 a.m. – 12:00 p.m.
Duration: 3 Clock Hours (One 3-Hour Session)
Location: State Fair Community College | Sedalia Campus | in-person
Instructor: Kennrik Nelson
Registration Deadline: December 4, 2026
Cost: $149 per participant
Category: Technology and Professional Development
Prerequisites: None. No prior AI experience is required.

Training Description

Problem-solving is one of the most valuable skills in today's workplace, and artificial intelligence is becoming a powerful tool for helping teams analyze information, identify root causes, generate solutions, and improve decision-making. AI and Problem Solving introduces participants to practical methods for combining AI with structured problem-solving techniques to address workplace challenges more efficiently and effectively.

Through real-world examples, demonstrations, and hands-on exercises, participants will learn how to use AI to frame problems, organize information, explore potential root causes, evaluate solutions, and develop implementation plans. The course emphasizes that AI should enhance—not replace—critical thinking, professional expertise, and evidence-based decision-making.

Participants will leave with a repeatable framework for using AI to support continuous improvement, operational excellence, and informed decision-making within their organizations.

Learning Objectives

Upon completion of this training, participants will be able to:

Define workplace problems using structured, measurable problem statements.
Use AI to generate and organize root-cause hypotheses.
Apply the R.E.A.L. verification process to validate AI-generated recommendations.
Generate multiple solution options using AI while evaluating feasibility and risk.
Develop implementation plans that include ownership, timelines, and risk mitigation.
Create concise communications that support informed decision-making across teams.
Apply a repeatable AI-assisted problem-solving workflow to continuous improvement initiatives.

Course Outline

Module 1: Framing Problems for Better AI Results

Why clearly defined problems produce better AI outcomes
Converting vague challenges into measurable problem statements
Defining objectives, constraints, and success metrics
Organizing available information before prompting AI
Common mistakes when using AI for problem-solving

Module 2: Root Cause Analysis with AI

Using AI to generate root-cause hypotheses
Organizing causes using structured thinking
Supporting traditional methods such as:
- Five Whys
- Fishbone (Ishikawa) Diagrams
- Pareto Analysis
- Continuous Improvement frameworks
Testing assumptions with evidence

Module 3: Evaluating Solutions and Managing Risk

Applying the R.E.A.L. verification process
Identifying assumptions and uncertainty
Generating multiple solution alternatives
Evaluating risks, trade-offs, and implementation challenges
Avoiding overreliance on AI recommendations

Module 4: Turning Analysis into Action

Building implementation plans
Creating RACI matrices and assigning ownership
Developing risk registers and contingency plans
Communicating findings to leaders, teams, and stakeholders
Building a repeatable AI-assisted problem-solving workflow
Developing a personal action plan for workplace application

Instructional Methods

Instructor-led demonstrations
Guided hands-on AI exercises
Interactive discussions
Real-world workplace scenarios
Prompt-building activities
Individual and group problem-solving exercises

Materials Provided

Participant workbook
AI prompt library for problem solving
Problem statement templates
Root cause analysis worksheets
AI implementation planning guide
Certificate of completion

Who Should Attend

This training is designed for supervisors, managers, engineers, quality professionals, maintenance personnel, project managers, continuous improvement teams, business owners, and anyone responsible for identifying problems, improving processes, or making operational decisions. It is especially valuable for professionals interested in using AI to support Lean, Six Sigma, root cause analysis, corrective actions, and continuous improvement initiatives.

If a company representative is registering one or more employees for an open enrollment training, all training communications will be sent to the company representative unless the employee's email address is provided.

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Open Enrollment Registration

As part of the registration process, you may be asked to provide optional information, including your email address and date of birth. This information helps SFCC maintain accurate student records, document completed training, and identify potential opportunities for credit for prior learning. All information is securely maintained in accordance with college privacy policies.

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Select this option if utilizing MISSOURI ONE START grant funds

Invoice/Check - Payable to: State Fair Community College

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Refund Policy:

The college reserves the right to cancel if sufficient registration is not achieved. Every effort will be made to notify registrants by phone or email if an event is cancelled. Full refunds will be issued for events cancelled by the college.

If you need to cancel your registration, please contact our office seven (7) days before the start date to receive a full refund, less 10% service charge if payment was made by credit or debit card. Expenses such as supply fees, food costs, tour fees or other costs associated with the event besides the event fee will be refunded only if The LearningForce has not incurred those costs. If an event has a deadline, that date is also considered the cancellation deadline.

If you have a situation that warrants an override of the above policy, an explanation of the circumstances should be made in writing to The LearningForce office. The request will be reviewed to determine if a refund can be granted, and you will be notified accordingly. Refunds should be received within 30 days.

Contact Information:

Phone: (660) 530-5822
Email: thelearningforce@sfccmo.edu

The LearningForce

AI and Problem Solving

Toll Free (877) 311-7322

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