Do you know your AI strategy depends on the team lead?

The gap between talking about AI-native delivery and actually achieving it comes down to who is making judgment calls in the middle of your delivery loops. That person is the team lead.

In his recent article for Forbes Technology Council, Max Belov looks at why AI strategy cannot live only at the executive or at the execution level. There’s a critical middle layer that is necessary to connect strategy with execution. Here, Max highlights that AI adoption succeeds when team leads know how much autonomy to give AI in each real-world workstream.

While CTOs can define strategy, tools, and governance, team leads make the daily judgment calls that turn AI from experimentation into reliable delivery execution.

Max Belov, CTO, Coherent Solutions

A good team lead weighs the cost of execution against the cost of a strategic mistake. If implementing a task is expensive and the probability of error is low, they may let AI operate with high autonomy. If the stakes are high but the implementation effort is moderate, they can direct engineers to do itexecute manually, accepting a small hit to throughput in exchange for minimizing the chance of a costly strategic failure.

Max delves into the following:

• What a well-functioning team looks like
• Setting team leads up for success
• Watching for leaders you didn’t expect

The lesson

Enterprises should keep an open mind about where new AI leaders come from. The shift in how teams operate has created an opening for people with strong systems thinking and comfort with ambiguity. Sometimes, these are people who previous traditional structures didn’t always make visible.

Read the full story at Forbes Technology Council.