The manual way
- Output capped by someone’s remaining hours
- A monthly report on activity
- Another login your team has to operate
- You find out what shipped after it shipped
A supervised AI workforce running your marketing every week — six agents doing the labor, our experts reviewing it, your team approving what ships. Without adding headcount.
The two usual options both leave the work with you. An agency bills hours and caps output at whatever time was left; software hands you a login and expects your team to run it.
The manual way
The ProElevate way
Analytics, search and AI visibility, campaigns, content, onboarding and account management — running every week rather than when someone finds time.
You are never operating software alone. Specialists who know your industry review the work, tune the agents, and stay accountable for quality.
The more exposure a piece of work carries, the tighter the leash — and the final approval is always yours.
Every service runs the same way, because the supervision model is the product. The exact inputs and approval checkpoints are set with your team during implementation.
The agents work inside your existing stack rather than asking your team to move into a new one.
Agents do the labor continuously; a trained ProElevate expert reviews everything before you see it.
Nothing reaches a customer or a public channel until your team approves it, and every decision is recorded.
Not a slide deck — the real campaigns, pages and follow-ups, with the review trail attached.
Scope, supervision, and where the human checkpoints sit.
Neither, and the distinction matters. An agency sells you people who bill hours. Software sells you a login and leaves you to operate it. This is a workforce: agents do the labor, experts supervise, your team approves. You are not buying hours and you are not becoming the operator.
No, and it works better if you have one. They stop producing every asset by hand and start directing a team that produces them. If you do not have one, you get the output without hiring.
Yes. Take one agent or the whole department. Most teams start where the pain is loudest and add from there.
The approval queue is the honest answer — reviewing finished work rather than producing it. Teams usually find the constraint becomes their review capacity, which is the opposite of the usual problem.