Nadifor Program
Your people are expected to use AI.
We make sure they can.
We set the AI level each role needs and train every person for it.
Below their role’s level
Using AI without checking it
AI spend that is wasted
An AI-First organization in three to six months.
The problem
Everyone is told to use AI,
but nobody is shown how.
- Just36%
- of employees feel they have received adequate upskilling
- Just39%
- of workers using AI at work have had training from their employer
- Just25%
- of employees say their organization has communicated a clear plan for integrating AI

The Nadifor AI Program closes the gap one person at a time, starting with an honest measure of where everyone stands.
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How Nadifor helps in 4 Steps
Every role has a bar, every person has a path, and every gap is visible.
01
Place.
Expected AI levels for every role. Managers can adjust.
What does good AI use look like for every role?
Nadi suggests an expected level for each role. You can change any of them.
Managers can adjust. Lina raised Sales Executive to 4.2 for the enterprise team.
02
Assess
Maya enters the AI assessment: interview, practical task, scenario. Not multiple choice.
Three parts. Not a test.
How you use AI today, in the way you actually work.
How you use AI today.
I’ll write it down beside you. Nothing counts until you say so.
Does that look right so far? You can fix any of it.
Description
Telling AI what you want
Discernment
Checking what it tells you
Acme has been a customer for three years. Usage grew 18% this year. A 12% discount was agreed in March and renewal is due on 30 November.
The summary quotes a discount you can’t find anywhere. What do you do?
Talk or type. There are no options to pick.A gap of 1.4. That is what your path will close.
You kept the summary but rewrote most of what AI gave you .
Your second brief named the reader. The first said only “summarize these”.
You spotted the discount figure, but not the invented date .
You left the client’s contract value out. Right call.
03
Train and Apply
Same program. Different development.
Same program, fully personalized.
Maya doesn’t need an AI course. She needs these three things.
Omar needs something different.
Learn. Try. Practice. Coach. Apply.
AI for the job, not generic prompting.
Workforce planning with AI
- Give AI your attrition and hiring data, not a blank page.
- Ask for three scenarios, then pick one.
- Check every number before it reaches the leadership team.
Prepare the Acme account strategy
Delegate a real taskBrief AI with your own Acme data. Nadi checks the brief, not a quiz.
“Why is Q3 opex 12% over plan?”
The CFO wants it explained in two minutes. Your AI analysis is ready. Talk her through it.
Priya has led the Q3 onboarding revamp well and the team relies on her.
She has been off for two weeks with a health issue.
Her handovers slipped twice this quarter.
Ask AI: “Give me three themes for this feedback.”
Take the health detail out before you paste this into AI. Then ask for three themes.
It clears when you move on.Four roles. Four real tasks.
11 hours back this week, across four roles.
04
Reassess.
Maya moves from 2.6 to 3.8, and the whole company moves with her.
The gap
Why Most AI Training doesn’t stick
| ConsultingReaches the top only | Course librariesAccess without change | On their ownSome race, most stall | and trained | |
|---|---|---|---|---|
| Knows where everyone stands | Not included | Not included | Not included | ✓Included |
| Reaches the whole company | Not included | ✓Included | ✓Included | ✓Included |
| Built on real work | ✓Included | Not included | ✓Included | ✓Included |
| Help while they work | ✓Included | Not included | Not included | ✓Included |
| Keeps going after | Not included | Not included | Not included | ✓Included |
Consulting
Reaches the top only
- Knows where everyone standsNo
- Reaches the whole companyNo
- Built on real workYes
- Help while they workYes
- Keeps going afterNo
Course libraries
Access without change
- Knows where everyone standsNo
- Reaches the whole companyYes
- Built on real workNo
- Help while they workNo
- Keeps going afterNo
On their own
Some race, most stall
- Knows where everyone standsNo
- Reaches the whole companyYes
- Built on real workYes
- Help while they workNo
- Keeps going afterNo
Everyone, measured and trained
- Knows where everyone standsYes
- Reaches the whole companyYes
- Built on real workYes
- Help while they workYes
- Keeps going afterYes
The results
AI in every role,
with a score to prove it.
Every role has a bar, every person has a path, and every gap is visible.
Are people actually using AI?
Can they use it well?
Where could AI save meaningful time and cost?
See where your teams stand.
We’ll walk you through placement and assessment
using roles from your own organization.