How BeSEEN Media Took On 14 More Founders Without Expanding Its Team

In a recent LinkedIn post, Olga Alcaraz discusses how BeSEEN Media used an AI employee to take on 14 more founders in a quarter without adding a person to its team. Alcaraz, the agency’s founder, presents the change as a way to increase capacity while keeping client communications personal. This article reports on her post and the approach she describes.

“We said yes to 14 more founders this quarter without adding a single person to the team.”

Training AI around the agency’s work

BeSEEN Media builds LinkedIn presence for founders, CEOs and consultants. Alcaraz says that work depends on each client sounding like themselves, rather than receiving generic messaging. She writes that her first experiences with AI had been tools “that worked for me alone,” and that she initially had modest expectations when an AI agent named Viktor joined the company’s Slack.

According to Alcaraz, Viktor’s early attempts fell short: replies to inquiries sounded like form letters, and an initial voice guide could have described almost any founder. The team improved the results by giving the system examples and clear guidance. As Alcaraz explains:

“So each of us gave him one real example and one rule, and that was enough.”

Her account points to a practical onboarding method: show the AI what good work looks like and set a specific boundary for the task. The post does not detail how the team evaluates each output, but Alcaraz emphasizes that the system’s usefulness developed through input from employees rather than through a hands-off rollout.

Drafting stays separate from approval

Alcaraz describes Viktor supporting several roles across the agency. A lead strategist can request a voice guide for a new client, an account manager can receive suggested replies to inquiries, and a designer can turn a useful finding from a Monday client report into a post. In this workflow, AI prepares material for employees to review and use.

That distinction is central to Alcaraz’s description of the arrangement:

“He drafts, we decide. Nothing reaches a client without a yes.”

Keeping client identity in view

Alcaraz argues that increased capacity only matters if the agency preserves the quality clients expect. Her post frames human approval as a safeguard for both accuracy and voice: staff members remain responsible for deciding what is suitable to send or publish. She says the intended outcome is that more founders receive support while each continues to sound like themselves.

The post is also marked “Paid Partnership” and ends with a promotional invitation to try Viktor. That context accompanies Alcaraz’s account of the workflow, which presents the AI employee as a drafting aid embedded in the team’s existing roles, with people retaining final say over client-facing work.