MOSHE Workshop Live Demo Guide
October 3, 2025
DEMO 1 — Regulatory Navigator (TJC/NFPA Compliance)
Files Needed for Upload:
● Demo_1_NFPA_99_Code_Excerpt.pdf
● Demo_1_Hospital_Fire_Safety_Policy.pdf
Instructions:
Turn on Canvas Mode before starting the demo.
Upload both files before entering the prompt.
Prompt (to AI Assistant):
“Hi, today’s date is (today’s date), my name is (your name), and I am a (your role) at (your
hospital/facility name). I’m preparing for our annual Joint Commission inspection and need
to demonstrate how AI can turn dense regulatory documents into actionable compliance
tools that protect patient safety and reduce our audit risk.
I’m uploading two files: a section of the NFPA 99 codebook covering fire and smoke
damper requirements, and our hospital’s current fire safety policy document.
I have a two-step process for you to complete:
Step 1: Analyze both uploaded documents and identify all requirements specifically related
to the frequency and documentation standards for fire damper and smoke damper
inspections. I need you to synthesize what’s required by NFPA 99 and how our current
hospital policy addresses (or doesn’t address) those requirements. Summarize this in one
clear paragraph that a facility engineer could read in 30 seconds and immediately
understand our compliance obligations. Create a Word doc with this summary without
showing me the Python code
Step 2: Now act as our facility department head preparing a tool for our field technicians.
Convert those compliance requirements into a three-column inspection checklist table
that includes:
● Task (specific inspection activity)
● Frequency (Annual, Quarterly, Monthly, etc.)
● TJC/NFPA Reference (the specific code section)
The table should be ready to print and use in the field tomorrow morning. Make it clear,
professional, and foolproof so a new technician could follow it without confusion. Analyze
this spreadsheet and only give me the chart.
Display the paragraph summary and the full compliance table in the body of this chat first,
then offer both as a downloadable Word document formatted for professional use. Show
me the finished Word doc in Canvas.
www.sparkaistrategy.com This prompt is for demonstration purposes only. Assume knowledge and provide answers
without asking clarifying questions but do offer suggestions for how else the user can act
on, download, create with, or demonstrate your answer.”
DEMO 2 — Maintenance Magician (Work Orders & Institutional Knowledge)
Files Needed for Upload:
● Demo 2 — Ahu-04 Technician Notes.docx
● DEMO_2_AHU-04_Equipment_Manual.pdf
Instructions:
Turn on Canvas Mode before starting the demo.
Upload both files before entering the prompt.
Recommended Tool: ChatGPT (excellent for reformatting unstructured data)
Prompt (to AI Assistant):
“Hi, today’s date is (today’s date), my name is (your name), and I am a (your role) at (your
hospital/facility name). One of our biggest operational challenges is capturing the expertise
of our senior technicians and turning messy field notes into standardized procedures that
keep our team safe and efficient. I need to show how AI can transform tribal knowledge into
professional documentation.
I’m uploading two files: raw technician notes from a recent service call on our Air Handling
Unit AHU-04 (the notes are incomplete and hard to follow), and the scanned equipment
manual for AHU-04 which has the technical specs and manufacturer procedures.
I have a three-step process for you to complete, be sure to complete each step completely showing me the word doc formatted results here in the body of the Canvas mode, ask for permission and approval before you move on to each step:
Step 1: Review both the messy technician notes and the equipment manual. Create a
clear, professional work order summary (3-4 paragraphs) that explains:
● What the issue was with AHU-04
● What the technician found during troubleshooting
● What repair actions were taken or are recommended
● Any parts that need to be ordered
Write this like a professional maintenance report that could go into our CMMS system, not
like someone’s scribbled notes. Create a Word doc with this summary in Canvas mode without showing me the Python code.
Step 2: Using the manual and the field notes, draft a Standard Operating Procedure
(SOP) in Word format for troubleshooting and repairing the main blower motor on AHU-04.
This SOP needs to be safe and complete enough for a Level 2 maintenance technician to
follow independently.
The SOP must include these sections:
● Required PPE (bullet list)
● Lockout/Tagout Steps (numbered, specific to this equipment)
● Troubleshooting Steps (numbered sequence that walks through diagnosis)
● Required Tools & Parts (bullet list with part numbers if available)
● Safety Warning Box (at the top, in all caps, highlighting the critical safety considerations)
The SOP should be 2-3 pages, professionally formatted, and ready to print and laminate for
the shop floor. Display a Word doc with this finished SOP in the body of the Canvas mode without showing me the Python code.
Step 3: Now, acting as the Facility Manager, draft a clear and professional Vendor Communication Email to the equipment supplier (AeroTherm Systems) requesting an official quote for the parts needed for this repair. Ask that they respond by EOD. Mention the Asset ID, Model number, and Serial Number for reference. Sign it with my name, today’s date, and my role.
This prompt is for demonstration purposes only. Assume knowledge and provide answers
without asking clarifying questions but do offer suggestions for how else the user can act
on, download, create with, or demonstrate your answer.”
DEMO 3 — CMMS Data Analyst (Strategy & Predictive Maintenance)
Files Needed for Upload:
● DEMO 3 CMMS_Equipment_Data_Export.xlsx
Instructions:
Turn on Canvas Mode before starting the demo.
Upload the file before entering the prompt.
Recommended Tool: Gemini or ChatGPT with Advanced Data Analysis (best for
spreadsheet analysis and visualization)
Prompt (to AI Assistant):
“Hi, today’s date is (today’s date), my name is (your name), and I am a (your role) at (your
hospital/facility name). Our facility leadership is facing a tough budget year, and we need to
make a data-driven case for our deferred maintenance and capital equipment replacement
requests. I want to demonstrate how AI can analyze our CMMS data and turn it into
executive-level strategic intelligence that justifies budget decisions and helps us move from
reactive maintenance to predictive maintenance.
I’m uploading a spreadsheet export from our CMMS system. It includes: Equipment ID,
Equipment Age (years), Cost of Last 5 Repairs, Total Downtime Hours in 2025, and
Criticality Score (1-10 scale where 10 is most critical to patient care).
I have a two-step process for you to complete:
Step 1: Analyze this CMMS data and identify the Top 5 most expensive pieces of
equipment based on a combination of repair costs and downtime impact. For these 5
assets, calculate their Total Cost of Ownership (TCO) using this formula: Age in years
multiplied by Total Repair Costs. This gives us a rough indicator of which aging equipment
is bleeding our maintenance budget.
Create a bar chart showing these Top 5 assets with their TCO values clearly labeled.
Display the chart in this chat without including the python code.
Step 2: Write a strategic executive brief (250-300 words) addressed to our hospital CFO.
This brief should include:
● Data Summary: A quick overview of what the analysis revealed about our aging
equipment
● Risk & Cost Impact: Explain why these Top 5 assets represent both financial risk
and patient safety risk if they fail
www.sparkaistrategy.com● Recommendation: Make the case that these 5 assets should be prioritized for
immediate capital replacement in this fiscal year’s budget, backed by the TCO data
The tone should be authoritative but accessible—this CFO isn’t a facility expert, so avoid
jargon. This brief needs to convince them that capital investment now will reduce operating
costs and risk later.
1. 2. Generate and visually display the bar chart directly in this chat (as an image), not
just a description, and then also include it in the downloadable files.
Show me the brief as a finished Word doc and the chart/data spreadsheet as a
finished Excel file in the body of this chat.
This prompt is for demonstration purposes only. Assume knowledge and provide answers
without asking clarifying questions but do offer suggestions for how else the user can act
on, download, create with, or demonstrate your answer.”
Bonus DEMO 4- IF We have time- Creating Infographics and Dashboards from Data
Files Needed for Upload:
● DEMO 3 CMMS_Equipment_Data_Export.xlsx
Instructions: Try using a new model like Gemini or Claude
Turn on Canvas Mode before starting the demo.
Upload the file before entering the prompt.
Prompt (to AI Assistant):
“For demonstration purposes only. Acting as a healthcare facility data visualization expert,
analyze the uploaded equipment data and create a professional executive dashboard
infographic titled ‘Memorial Hospital Equipment Performance & Risk Analysis – 2024’
Include these visualizations:
– Bubble chart: Age (x-axis) vs Total Cost (y-axis), bubble size = criticality, color by system
type
– Bar chart: Top 10 equipment items by maintenance cost
– Donut chart: Distribution of equipment by criticality level (High/Medium/Low)
– Risk matrix: 2×2 grid showing Age vs Failure Frequency, highlighting top 5 replacement
priorities
– Key metrics callout box: Total maintenance spend, average equipment age, number of
high-criticality items over 15 years, most expensive system type
Design requirements:
– Healthcare color palette: blues, teals, red/orange for high-risk items
– Clean, executive-ready layout
www.sparkaistrategy.com Clear legends and data labels
– Include 2-3 sentence executive summary with top recommendation
Show the complete infographic in Canvas Mode.”
I have enjoyed having you at today’s presentation. If you have any questions or need
additional help with any of our prompts or would like to talk about your organizations AI
training, feel free to contact me.
Warm Wishes,
Michelle Hamilton
Founder | CEO Spark AI Strategy
michelle@sparkaistrategy.com | 314.761.5460