The person and the process
An Aviation Admin Officer handled emails, translation, coordination, KPIs and training documents.
Three days to clear the fog around AI.
Airport staff arrived curious and skeptical. They left with agents built around their own work, a clearer view of the risks and a plan for what comes next.
3
consecutive days
18
hours together
17
participants
The arrival
We started the three-day program by accidentally driving into a military base.
Not the intended opening.
After being told off and finally finding the right place at the airport, the welcome could not have been warmer.
I was there with a training partner, delivering an 18-hour AI program for the airport's training centre.
The room
Excited to learn. Still on the fence.
Some participants had barely used AI. Others used personal accounts here and there. Everyone came with an open mind and many questions.
AI news is loud. It will replace everyone or solve everything. People need help telling progress from noise.
The goal was to clear the fog, and move from what AI might do to us to what we choose to do with it.
The program
Understand it. Build it. Trust it.
Stage 01
Understand it
We covered what AI can and can't do, and where the hype begins. The room pushed back instead of nodding along.
Stage 02
Build it
Participants used the AI Workflow Builder to turn their own expertise into agents, then tested and improved them.
Stage 03
Trust it
We tested guardrails against instructions hidden in emails, so everyone saw why an agent needs boundaries and named approvers.
What they built
Agents shaped around their own work
The AI Workflow Builder turned their processes, rules and expertise into agents they could test and improve.
The gap
A general AI chat didn't know the department's formats, approvals or safety rules.
The agent
A harness for shift handovers, bilingual circulars and gaps in audit evidence.
The human in charge
Built-in checks and named approvals. The agent couldn't invent facts or make safety calls.
For the employee
Less repetitive work. More time for judgment and sharing expertise.
For the manager
Repeatable processes with clear boundaries, approvals and shared team knowledge.
The honest conversation
Eight concerns raised by participants
Losing experience caused the strongest argument. Most believed relying on AI would weaken experience over time. That concern is real, and we treated it that way.
- 01 Degrading experience
- 02 Confidential data leaks
- 03 No human interaction
- 04 Unpredictable accuracy
- 05 Output drift for the same task
- 06 No guide on how to use AI
- 07 Dependency on the provider
- 08 Integration is inevitable
In their words
Not one clean line from fear to excitement.
Hope, skepticism and fear all sat in the same room.
“I was against using AI, but this program changed my whole perspective on the tool.”
“My favourite part was adding guardrails to make my AI agent more secure.”
“I now think about this technology as my own assistant and an opportunity to distribute my expertise to lower levels.”
Participant feedback
Definitely
would recommend
Strongly agree
knows what to automate first
Building my own
most useful part
Engagement facts
- Client
- Oman Airports Training Centre
- Collaboration
- Jabreen Academy and Aibl.to
- Location
- Salalah Airport, Sultanate of Oman
- Dates
- 30 August to 1 September 2026
- Format
- Three consecutive days, 18 hours
- Delivered by
- Nizar Ntarouis
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