DUBAI OPENED AGENT TRAINING TO 14,000 FIRMS.

WHAT HAPPENED

On 1 September Dubai Chambers opened specialized Agentic AI training tracks on Dubai Chambers Academy, a new e-learning platform. The tracks are aimed at the more than 14,000 member companies of the Business Groups and Business Councils that operate under the Dubai Chamber of Commerce. According to the announcement, they cover the tools and solutions on the market, where the technology fits inside a company, and how to apply it to operations, efficiency, productivity and decision-making.

The tracks are one strand of the program Sheikh Hamdan bin Mohammed launched in May to move Dubai's private sector to agentic AI within two years. The same program promises incubators for agentic AI companies, support for the firms that build these solutions, and dedicated funds.

THE TRACKS ARE AIMED AT ONE FIRM IN TWENTY

The program's own scope is 295,000 companies. The 14,000 business group and council members are about one in twenty of them. The announcement does not say how or when the rest will get a comparable offer.

It also leaves out the details a manager needs to decide whom to send. TheNextWeb noted that no syllabus, duration or completion target was published, and we could not find fees or enrollment deadlines either. The incubators and funds announced with the program have no published figures yet. So the value of a seat depends on what your company brings to it.

THE GAP IS BETWEEN TOOLS AND WORKFLOWS

ServiceNow's Enterprise AI Maturity Index, reported by The National on 24 August, shows where UAE companies are stuck. Of the UAE organizations surveyed, 57% said they had implemented agentic AI and 7% said they had used it to build autonomous workflows. It is a vendor survey and only records what respondents said, but the distance between those two numbers matches what we find in audits.

Closing that distance is unglamorous work. Someone has to document the workflow as it actually runs, clean the inputs the agent will read, decide which steps it may take alone and own the result when it goes wrong. Training makes people faster at all of it. A track that starts from the tools on the market will tend to stay with them.

The clock runs either way. A program launched in May with a two-year horizon ends around May 2028. A company that puts its first workflow into production in late 2027 will have time for one attempt and little room to learn from it.

TURNING A SEAT INTO A DEPLOYMENT

• Send the person who runs the process. An operations lead who handles the workflow every day will get more out of an agentic AI course than an IT generalist. Pair them with whoever controls the data that workflow reads.
• Bring one workflow with numbers. Know its monthly volume, the minutes each case takes and its error rate. Test every idea from the course against it, and come back with a draft decision boundary for that workflow.
• Name what the course leaves out. Integration, data quality and access control decide most deployments. If the track does not cover them, schedule that work now, before a pilot runs into it.
• Outside the groups and councils, start anyway. The two-year horizon applies to the whole private sector. Internal training on your own cases can begin this month and does not need a seat.