Qualiflai · AI Implementation Lab

Build it yourself.In one
half day.

A four-hour, hands-on workshop for the people who run small organizations. You do two real builds with an AI tool, write a one-page AI policy your staff can follow, and leave with a 30-day plan. No slides you could have read at home.

October 2026, Staten Island, date and venue to be announced
Reserve a seat See the four-hour agenda
What you leave with

Six things you can do
on Monday morning.

Every outcome below is something you do in the room, not something you watch. By the end of the afternoon you can:

1
Explain the three layers
Context, harness, and AI employees: what each one is, and where your own organization stands on each. The model you rent is a commodity. What you own is your context.
2
Pick one tool and one tier
Choose a tool and a plan for a stated job, say why, and explain to your team why AI is not all-you-can-eat. Budget for it like a phone plan, not a light bulb.
3
Turn a vague ask into a brief
Write a context brief that gets a usable first draft on the second try. Save it, reuse it. That is your first piece of harness.
4
Reconcile and merge messy data
Run a reconciliation and a merge on real-shaped spreadsheets with an AI tool, then check the result against an answer key and know what the tool got wrong.
5
Write the one-page policy
An AI policy your staff can actually follow, plus a context inventory with an owner for every source. Both on one page each.
6
Leave with a 30-day plan
One thing per week, an owner, and a done-when. Plus the "10 things to start right away" sheet and a clear picture of what an AI readiness assessment covers.
Who it is for

The people who actually run the place.

Owners, executive directors, and office managers, usually with one or two staff along. Most people who walk in rate themselves a three or four out of ten on AI. That is the room this was built for.

01 You have tried an AI tool once or twice and got a generic answer. You want to know what to do differently.
02 Someone on your team re-keys the same data every week, or the KPI report never gets done. You want that job off a person's plate.
03 Staff are already pasting things into chatbots and nobody has written down the rules. You want a policy before something goes wrong.
04 You are being told to "do something with AI" by a board, a partner, or a peer. You want a plan you can defend.
Not for you if you want a lecture on where AI is headed, or you are looking for developer training. The Lab is about running an organization, not writing code.
The four hours

Agenda at a glance.

Two short talks, one live demonstration, two labs you do yourself, one walk-through of a running back office, and one policy you write. Two breaks.

0:00 15 min OpenWhere you stand, the pain points in the room, and the thesis: the model is a commodity, context is the asset.
0:15 25 min Four tools, one ruleChatGPT, Claude, Gemini, and Copilot side by side. Why AI is not all-you-can-eat, and how to pick one tool for the whole organization.
0:40 30 min Prompting is contextA live iteration on a real task from the room, then you write and run your own context brief.
1:10 10 min Break
1:20 35 min Lab 1: Were we billed what we ordered?Purchase orders against vendor invoices, matched and flagged by you, checked against an answer key.
1:55 35 min Lab 2: Three systems into one listMerge donation, event, and check records into one list of record, and find who has gone quiet.
2:30 10 min Break
2:40 25 min The harness and the AI employeeA walk-through of MAE running a back office on demo data, and QualiConnect on the front office in one slide.
3:05 30 min Governance, security, data readiness, costMyth versus fact, five rounds. Then you write your one-page policy and your context inventory.
3:35 20 min Your 10 things and 30-day planThe takeaway sheet, read once, then your own plan: one thing a week with an owner.
3:55 5 min CloseWhat an AI readiness assessment covers, and what comes after the Lab.
The two labs

You do the build.
Then we open the answer key.

Both labs run on fictional demo files we built for the workshop. Same shape as your own books and lists, none of your data at risk. You upload, you brief the tool, you check the result.

Lab 1: Purchase orders vs invoices
A fictional restaurant, several weeks of purchase orders, and the matching vendor invoices. The question every owner has and never has time to answer: were we billed what we ordered?
  • Match every invoice line to its purchase order by number and item.
  • Flag price variance, quantity variance, lines with no order, and anything billed twice.
  • Total by vendor and show the method.
  • Open the answer key. Decide what to hold, what to pay, and what to say to the vendor.
The AI matches. A person decides. That is the human gate.
Lab 2: Three systems into one list
A fictional nonprofit with online donations, an event system, and a checkbook that have never been read together. Same shape as any organization with a CRM, an event tool, and a bank account. Who gives through more than one door, and who has gone quiet?
  • Merge three files into one donor list, matching on email, then name, then address.
  • Log every merge the tool made so the next person can see the decisions.
  • Find who gives every year in the same month, and which months carry the year.
  • Open the answer key and the board one-pager. Turn the findings into a short call list.
The merge log is the harness. Reconcile against the bank before you mail.
Seats

Two ways to attend.

A public seat in a small room, or a private run for your own team on a date you choose.

Public run
Per seat
$497
One person, one half day
For an owner, executive director, or office manager, with one or two staff welcome on their own seats.
  • Four hours, small room, laptop per person
  • Both labs with source files and answer keys
  • Glossary and intake sent the day before
  • Printed worksheets, policy template, and the "10 things" sheet
  • Kit download after the session
Reserve a seat
Private team
$2,500
Up to 8 people from one organization
For a leadership team or a whole office that wants to build the same operating model together, on your calendar.
  • Everything in the public run
  • A date and venue you choose
  • Labs adapted to your own workflows where it makes sense
  • One policy and one context inventory for the whole team
  • Larger teams: ask about a run for up to 15
Ask about a private run
Your facilitator. The Lab is taught by Chris Ferrera, founder of Qualiflai, who builds and runs the AI employees the workshop describes and teaches the material from what runs day to day.
Common questions

Straight answers.

No. The Lab is built for owners, executive directors, and office managers who have tried an AI tool once or twice and want to know what to do with it. Every term we use is on the one-page glossary you get the day before.
A laptop, a login to any one of ChatGPT, Claude, Gemini, or Copilot (the free tier is fine), and one real spreadsheet or document you are allowed to share. No client or donor personal information.
All four of the common ones, side by side, and then we help you pick one for your whole organization. The method is the same in every tool. What changes the result is the context you give it, and that is what we teach.
The two labs run on fictional demo files we built for the workshop. You never upload client, donor, or member data during the Lab. Part of the afternoon is writing the never-paste list your staff will follow afterward.
Yes. The private team option is $2,500 for up to eight people from one organization, on a date you choose, with the labs run on your own workflows where that makes sense.

Reserve your seat.

Tell us who you are and we will confirm your seat, send the glossary and intake the day before, and hold your kit download for after the session.

October 2026, Staten Island, date and venue to be announced
Reserve a seat
$497 per seat. Payment opens when the date is set. Register below and we will hold your place and send the payment link.