What an AI Employee’s Fresh Perspective Revealed About Delegation

In a recent LinkedIn post, Dr. Rachna Jain discusses what happened when she gave an AI employee a business research assignment—and how its recommendations offered a perspective outside the systems she had built around her own thinking. This article covers Jain’s account and analysis of that experiment; it is not an article written by her.

“He returned with a 10-page research brief.”

A real assignment, not another prompt

Jain says she has spent considerable time incorporating AI into research, content development, strategic analysis and operations. Those systems, she notes, were built around her own frameworks and strategic architecture. To test a different approach, she assigned Viktor, an AI employee operating through Slack, the task of analyzing her business, Profitable Popularity, and identifying ways to improve organic discovery or revenue.

According to Jain, the result included an assessment of existing content, three prioritized opportunities, supporting research and a proposed 90-day implementation plan. She emphasizes that the system also flagged what it could not verify and sought authorization before taking further action.

Why a different analytical lens mattered

One recommendation was an “answer bridge,” which Jain describes as a way to connect questions people ask with the deeper intellectual frameworks that address them. The concept overlapped with her existing work on making expertise discoverable across platforms and changing technologies, she says. What she found useful was how Viktor organized the analysis into a specific recommendation and sequence of steps.

“Sometimes the value of bringing someone new into a system isn’t that they know more about it than you do. It’s that they haven’t learned to see it exactly the way you do.”

Jain connects that observation to leadership development: a newcomer may contribute by seeing a familiar problem differently. She also cautions that recommendations must be evaluated in light of context the newcomer does not have. In her account, that applies to managing AI employees as well as people.

Delegation still calls for judgment

Giving leaders something to evaluate

Jain’s post distinguishes between delegating a task and directing each step of a process. She valued receiving research, recommendations and a proposed path forward that she could assess, rather than having to steer the work continuously. That gave her substantive material on which to exercise her own judgment.

“The value of delegation isn’t that judgment becomes unnecessary. It’s that leaders can apply their judgment where it matters most.”

Her conclusion is that delegation does not remove a leader’s responsibility to evaluate decisions. Instead, as Jain argues, it can shift attention toward the points where that evaluation is most needed. The post is also marked as a paid partnership and ends with a promotion for Viktor, context that readers may consider alongside her account of the test.