Artificial intelligence for enterprise: where to start?

Artificial intelligence initiatives in organizations often get stuck in the same place: first the tool is purchased, then “where will we use it?” is asked. When the order is reversed, considering the process first and the tool second, progress is much more predictable.

1. List the processes

Write down the tasks the team does weekly: preparing reports, responding to emails, content production, data entry, proposal preparation. Note the estimated time for each job and who did it.

2. Select suitable candidates

The best candidates are; These are tasks that are repetitive, have relatively clear rules, and have certain inputs and outputs. Artificial intelligence should only assist in matters where the final decision is sensitive (legal, financial, human health), the decision should remain with the human.

3. Start with a small pilot

• Choose a single process and rewrite how you will measure success (duration, errors, satisfaction).
• Conduct the pilot with a small group; Gather real feedback from the team.
• Document running prompts and methods in a common place.

4. Set data and security rules

Which data can be shared with which tool, and which can never be shared? Your institution should have a clear policy in terms of personal data protection (KVKK) and trade secret obligations. Share these rules with the entire team.

5. Train the team, then scale

No matter how good the tool is, it will not produce value if the person using it does not know how to direct it. Practical training that focuses on the team's own work gives much more permanent results than general vehicle promotions.

First the process, then the tool. Pilot first, scale second.

If you would like to create this map together for your own institution, we can start with a 15-minute introductory meeting.