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← AI Workforce Enablement
Artifact 06 · AI Workforce Enablement
AI Workforce Training Program
A complete 4-week program for office teams — six modules, prompt practice labs, pre/post assessments, capstone project, and supervisor validation.
4 weeks
6 modules
Kirkpatrick L1-L4
Role-based tracks
ADDIE designed
01Curriculum
02Deliverables
03Assessments
04Capstone
This program is designed for non-technical office employees who use or will use AI tools in their daily work. It builds from foundational literacy through applied skill, ending with a role-specific capstone project that demonstrates real-world proficiency.
4
weeks total
6
modules
90 min
per session
2
sessions per week
Each module includes a facilitator-led session, a participant workbook section, a prompt practice lab, and a reflection activity. Click any week to expand the full module details.
W1
Week 1 — AI Foundations and Responsible Use
Modules 1 & 2 · Pre-assessment · Orientation
⌄
Module 1
What AI Actually Is (and Isn’t)
›Explain what a large language model does in plain language
›Identify the difference between AI-assisted and AI-automated tasks
›Name three things AI tools cannot reliably do
›Locate the organization’s approved AI tool list
Module 2
Responsible AI Use — Policy, Privacy, and Judgment
›Apply the data classification test before entering information into an AI tool
›Demonstrate correct escalation when AI output seems wrong or harmful
›Complete the responsible AI use scenario quiz with 80% or higher
W2
Week 2 — Prompt Construction and Daily Work
Modules 3 & 4 · Prompt practice lab
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Module 3
Building Effective Prompts
›Apply the four-part prompt framework: task, context, constraints, format
›Rewrite a vague prompt into a specific, high-quality prompt
›Identify what ingredient is missing from a weak prompt
Module 4
Drafting, Summarizing, and Documentation Workflows
›Use AI to produce a first draft of a work document in under 5 minutes
›Summarize a long document into an executive brief using a structured prompt
›Build a reusable prompt template for one recurring task in their role
W3
Week 3 — Validation, Quality, and Automation
Modules 5 & 6 · Workflow design activity
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Module 5
Validating AI Output and Catching Errors
›Identify at least two hallucination risks in a provided AI output sample
›Apply a personal validation checklist to an AI-generated document
›Distinguish between AI outputs appropriate for direct use vs. those requiring verification
Module 6
Workflow Automation Basics
›Map a repeating work task as a trigger-process-output workflow
›Identify where AI assistance and human review steps belong in that workflow
›Use the automation readiness checklist to assess a proposed workflow
W4
Week 4 — Role-Specific Application and Capstone
Module 7 · Capstone project · Post-assessment · Certification
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Module 7
Role-Specific AI Use Cases and Capstone Project
›Select three AI use cases relevant to their specific role from the use case library
›Design and document a complete AI-assisted workflow for a real task in their role
›Present the workflow to a peer and supervisor for feedback and validation
›Achieve a post-assessment score of 75% or higher across all competency areas
Completion requirements
Attend or complete all 4 weeks of instruction · Score 75%+ on post-assessment · Submit completed capstone project · Receive supervisor validation sign-off · Complete the responsible AI use acknowledgment form
Every deliverable in this program is built to be deployed — not just presented. Facilitator guides, workbooks, and rubrics are formatted as production-ready documents. Interactive tools are live on this portfolio site.
Facilitator materials
Facilitator Guide
Session-by-session facilitation notes for all 7 modules. Includes timing guides, discussion facilitation tips, common participant questions and responses, setup requirements, and differentiation strategies for mixed-experience groups.
Word document (.docx)
Slide Deck
Presentation slides for all 7 modules. Clean, minimal design with facilitator notes on each slide. Includes discussion prompt slides, activity instructions, and knowledge check questions formatted for group response.
PowerPoint (.pptx)
Participant materials
Participant Workbook
A 28-page workbook with one section per module. Each section includes a concept summary, guided practice activities, reflection prompts, and space to build a personal prompt library. Designed to be used during and after training.
Word document (.docx)
Prompt Practice Labs
Five interactive prompt labs accessible on this portfolio site. Each lab presents a real workplace scenario, collects the learner’s prompt response, and returns AI-scored feedback against a six-point rubric. Live and accessible now.
Interactive (live)
Assessment and measurement
Pre-Assessment
14-question diagnostic covering 7 competency areas. Establishes individual baselines and generates a personalized learning path recommendation. Accessible as a live interactive tool on this site.
Interactive (live)
Post-Assessment
20-question assessment covering all 7 competency areas at application level or higher. Produces a comparable score to the pre-assessment for Kirkpatrick Level 2 measurement. Passing score: 75%.
Word document (.docx)
Supervisor Validation Checklist
A structured 30-day post-training observation checklist for supervisors. Covers 12 observable behaviors across AI comfort, prompt quality, validation habits, and responsible use. Required for program completion.
Word document (.docx)
Completion Tracker
A spreadsheet-based tracker for cohort managers. Logs pre/post scores, module attendance, lab completion, capstone submission, and supervisor validation status for each participant.
Excel (.xlsx)
Both assessments use the same 7-category framework, making pre-to-post comparison clean and consistent. Questions are written at the Apply level or higher — not recall. Sample items below.
Pre: 14 questions
Post: 20 questions
Passing score: 75%
Bloom’s: Apply and above
Sample pre-assessment items
You need to use AI to draft an email declining a vendor’s proposal. Which prompt would produce the most useful result?
A. “Write an email declining a vendor”
B. “Draft a 150-word professional email declining [Vendor Name]’s proposal for [service]. Tone: respectful and final. Include: appreciation for their time, the reason for declining (budget constraints), and an invitation to reconnect next fiscal year.”
C. “Write something polite about not choosing this vendor”
D. “Tell a vendor we are not interested”
An AI tool generates a statistic you plan to include in a client report. The statistic sounds plausible and fits your narrative. What should you do?
A. Include it — the AI is trained on accurate data
B. Include it with a note that it is AI-generated
C. Verify the statistic against an authoritative source before including it in any client-facing document
D. Ask the AI to confirm the statistic is correct
Pre-assessment establishes Kirkpatrick Level 2 baseline. Full assessment includes 2 questions per competency area across 7 categories.
Sample post-assessment items (higher cognitive level)
Your team has been using an AI-assisted workflow for 30 days. The AI consistently assigns the wrong urgency level to about 20% of incoming requests. What is the most appropriate response?
A. Switch to a different AI tool that might perform better
B. Remove the urgency classification step from the workflow entirely
C. Revise the prompt to include clearer urgency criteria, retest with historical requests, and strengthen the human review step until accuracy improves
D. Accept 20% error as an acceptable AI limitation
A manager asks you to implement an AI workflow that automatically sends customer confirmation emails without human review because it “saves too much time to skip.” How do you respond?
A. Implement it as requested — the manager has authority
B. Refuse and escalate to IT without discussing alternatives
C. Explain the risk of removing human review from customer-facing communications, propose a faster review step rather than elimination, and document the conversation
D. Implement it but add a disclaimer to the automated emails
Post-assessment scenarios require learners to apply, analyze, and evaluate — not recall. Pre-to-post score comparison measures Kirkpatrick Level 2 learning.
Supervisor validation checklist (sample)
AI comfort and tool use (observe at 30 days)
Employee uses the approved AI tool independently for at least one task per week without prompting
Employee does not use unapproved AI tools for work tasks
Employee can explain to a colleague what AI is good at and what it cannot reliably do
Prompt quality (review one prompt example)
Employee’s prompts include a clear task, relevant context, and at least one constraint
Employee specifies the output format they need rather than accepting whatever the AI produces
Validation and responsible use
Employee does not share confidential data with unapproved AI tools
Employee reviews AI output before using or passing it forward
Employee can describe the escalation path for AI-related concerns
The capstone project is the Kirkpatrick Level 3 measurement mechanism for this program. Learners design a real AI-assisted workflow for their actual role, present it, and receive supervisor sign-off. It is not a test — it is a deployment plan.
Capstone project phases
1
Select a real, recurring task
Identify one task in your current role that you perform at least weekly, takes more than 10 minutes, and involves drafting, summarizing, or organizing information. Document the current manual process step by step.
2
Design the AI-assisted workflow
Map the new workflow showing where AI assistance is introduced, what the prompt template looks like, where human review occurs, and what the output looks like. Use the workflow map template from Module 6.
3
Pilot the workflow three times
Run the AI-assisted workflow on three real instances of the task. Log the time, note any prompt adjustments needed, and document one validation check you performed on each AI output.
4
Present findings to a peer and supervisor
Deliver a 5-minute presentation showing: the task, the workflow map, the prompt template, time saved, one thing that worked, one thing you had to adjust, and your recommendation for whether the workflow should be adopted by the team.
5
Supervisor sign-off
The supervisor reviews the workflow documentation, confirms the pilot results are credible, and signs the supervisor validation form. This is the Kirkpatrick Level 3 evidence that behavior transfer occurred.
Capstone scoring rubric
| Criterion | Points | What proficient looks like |
|---|---|---|
| Task selection | 10 | Task is real, recurring, and appropriate for AI assistance. Not too simple, not too sensitive. |
| Workflow map quality | 20 | Clear trigger, AI steps, human review gates, and endpoint. Workflow could be handed to a colleague and followed without explanation. |
| Prompt template | 20 | Includes all four components (task, context, constraints, format). Has clear placeholders. Produces consistent output across multiple runs. |
| Pilot documentation | 20 | Three runs documented with time logged, validation step noted, and at least one prompt adjustment explained. |
| Presentation clarity | 15 | Delivers all five required elements in under 5 minutes. Peer and supervisor can ask questions and get clear answers. |
| Responsible use demonstration | 15 | Workflow uses approved tools only, human review is present at appropriate points, and learner can explain what data would not be appropriate to include. |
Total
100 points · Passing score: 75
This program is designed to be deployed in 4 weeks with minimal facilitator preparation time. If you are building an AI enablement program for your organization, let’s talk.
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