What AI changes for managersما الذي يغيّره الذكاء الاصطناعي للمديرين

AI is now a management question

AI tools are cheap and everywhere. What separates organisations that get real value from those that don't is rarely the technology. It is management: choosing the right work, redesigning jobs, leading people and measuring results.

Throughout this course you will follow Nahrawan Insurance, a Baghdad insurer with 420 staff and 9 branches (an example built for this course). In January, the CEO, Ms. Intisar, asked her COO, Karim, to lead the company's use of AI. Staff were already pasting customer letters into free public tools, nobody knew what it was worth, and some people were worried about their jobs.

ISHTAR Academy explainer.

Three ways AI creates value

Automate and augment improve the work you already do. Create changes what you offer customers. Most organisations start with the first two: they are cheaper, faster to prove and teach the organisation how to work with AI. The bigger bets come once you have data, skills and trust.

AI changes tasks, not whole jobs

Karim did not ask "which jobs can AI do?". He asked "which tasks inside each job can AI help with?". A claims handler's 40-hour week splits clearly: about 21 hours of typing and standard letters where AI helps a lot, and 14 hours of calls and difficult decisions where people matter most.

Thinking in tasks gives you better use cases, and a more honest conversation with staff about how their work will change.

What the evidence says

Your role is not to become a technician

You do not need to know how the models work inside. You do need to do six things nobody else in the organisation can do for you:

• Set direction: link AI to the goals your team is measured on.
• Choose use cases: pick the work where AI fits, and say no to the rest.
• Redesign work: change the process, not just add a tool on top.
• Lead people: address fears, build skills and set expectations.
• Manage risk: decide where a person must check or decide.
• Measure value: baseline, track and report honestly.

Where Nahrawan stood in January

Karim spent his first two weeks listening. He found:

• Staff in at least four departments using free public AI tools, some with customer details.
• Two vendors offering "AI claims solutions" with impressive demos and no numbers from real customers.
• Nobody had measured how long a claim took to enter or how many records had errors.
• Strong interest from younger staff and real worry among experienced handlers.

Exercise: map one job into tasks

1. Choose one role in your team that many people do.
2. List the five to eight tasks that fill a typical week, with rough hours for each.
3. Mark each task high, medium or low for how much AI could help, using the table in this lesson as a guide.
4. Circle the one task with the most hours marked high. That is a candidate for lesson 3.