AI Employees
An AI Employee trained on your data, your processes, your team, and your voice. It works inside the tools you already use, runs proactively while you sleep, and answers when your team needs it. Same job a human does. 24/7.
Trained for you. Not for everyone.
A generic AI assistant has never read your SOPs. It doesn't know who your champions are at your largest accounts. It doesn't know how your team writes a follow-up. It doesn't know that Tuesdays are when reports go out, that nobody touches a deal without a MEDIC score, or that "the GAF deal" means something specific.
An AI Employee does.
Before yours writes a single email, makes a single decision, or runs a single report, we put it through the same onboarding any senior hire would go through. We map your workflows. Document your processes. Ingest your playbooks, your past wins, your house rules. We calibrate its voice to match your team's. We teach it where its judgment ends and a human's begins.
It comes out the other side as a member of your team. With a name. A role. A scope. And the kind of context most new hires take six months to absorb.
Every operator who has tried to grow a real business knows the trade. The work expands faster than the team can absorb it. Reports that should take ten minutes take an afternoon. Follow-ups slip because nobody had the bandwidth. Leadership spends the first hour of every day reconstructing context that should already be obvious.
The default answer is to hire. More people. More onboarding. More overhead. More management surface. A new salary every time the workload moves.
There's a better answer now.
A chatbot waits to be asked. An AI Employee shows up every day, checks the systems it's connected to, runs the work it owns, and tells the right person when something needs attention.
It's reactive when you need an answer. Proactive when something is about to slip. It works inside the tools your team already lives in. And when it hits a decision that shouldn't be made without a human, it stops and asks.
| Generic AI tool | Your AI Employee | |
|---|---|---|
| Trained on your business | No | Yes. On your real documents, processes, and team |
| Speaks in your voice | Generic | Calibrated to your team's tone |
| Runs on its own | No | Yes. On a schedule you set |
| Connected to your stack | Limited | Gmail, Slack, CRM, Drive, anything with an API |
| Knows where to stop | No | Yes, with defined escalation rules |
| Improves over time | No | Yes, with every feedback loop |
An AI Employee fills a role, not a task. Below are the roles we deploy most often. Each one is configured for your business from day one.
Sales
Owns the pipeline from first touch to closed-won. Updates the CRM after every call. Drafts follow-ups in your team's voice. Flags deals going cold before they die. Matches every prospect to the right case study based on their industry and pain. Schedules meetings when a prospect is ready.
Operations
The connective tissue between the systems your team uses every day. Pulls reports from across your stack. Cross-references commitments against deliverables. Flags what's slipping. Surfaces the information your leaders need before they ask for it.
Executive Assistant
The morning starts with a full briefing on your inbox, your calendar, and the day's priorities. Draft replies waiting on the emails that need them. Context for every meeting. The first hour of your day, already done before you sit down.
Customer Support
Handles the questions that don't need a human. Resolves the tickets it can. Escalates the ones it can't, with the full context attached. Trained on your knowledge base, your tone, and your service standards.
Marketing
Runs the operation that keeps your funnel alive. Curates content. Tracks campaign performance. Pulls the metrics that matter and delivers them where your team will actually see them. Drafts the social, the newsletter, the briefs.
Finance & Admin
The work nobody on your team wants to do, done on time. Overdue invoice tracking. Expense categorization. Reconciliation. Internal reporting. Quiet, consistent, never late.
Phase 01
We map your workflows, your processes, and the way your team actually works. We collect your SOPs, your playbooks, your tone of voice. The same intake any senior hire would go through, structured for an AI.
Phase 02
We give the AI Employee its identity, its scope, and its knowledge base. We connect it to your stack. We write the task playbooks and define the escalation rules. We feed it real examples of every job so it learns what "good" looks like inside your business.
Phase 03
Parallel testing. The AI does the work. A human verifies the output. We adjust the voice, the judgment, the boundaries until it clears the bar your team would set for a person in that role.
Phase 04
Deployment. Team training. Two weeks of intensive monitoring. Then it runs.
$2,500/month
$2,000/month introductory rate for the first 6 months.
6-month minimum, then month to month.
What's included
The work an AI Employee handles isn't the work you'd hire your next person for. It's the work nobody has time for now, the work that gets dropped when the team is busy, and the work that should already be automated but never gets built. Hire one, and the team you already have moves faster.
We ship what we use
Before we offered AI Employees to a single client, our parent agency, LowCode Agency, deployed them across its own operation. Same onboarding. Same training. Same architecture we use for clients today. The result reshaped how we run.
Every choice we make in a client deployment, where to set escalation rules, how to structure a knowledge base, what to test for, what to expect in week one versus week six, comes from having done this on ourselves first.
When a founder asks us what it's actually like to operate with AI Employees inside a real organization, we don't speculate.
Team Overview
Active, paused, and the roles each one owns. Operators see the full roster at a glance, without digging through tools.
Inside an AI Employee
Every AI Employee has its own scope, its own knowledge base, and its own schedule. The activity feed shows what it has done, hour by hour.
Proof of work
The recurring-task log records every run, every file the AI Employee touched, and every output it shipped. Operators can audit a week of work in under a minute without asking anyone for an update.
Screens from inside LowCode Agency, a Phos client running their AI Employees today.
"I had too many things to manage and no real way to manage all of them. The agents didn't just save time. They gave me control over things I had completely accepted I would never be on top of."Jesus Vargas, Founder & CEO, LowCode Agency
ChatGPT is a generic assistant with no memory of your business, no connection to your tools, and no understanding of what happened on last Tuesday's call. Your AI Employee is trained on your real documents, configured for your specific workflows, and embedded inside the systems your team already uses. It's the difference between a search engine and a hire.
Every AI Employee has escalation rules built in. When it hits something it shouldn't decide alone, it stops and loops in a human. The guardrails are designed before the deployment ships.
Automation runs a fixed script. An AI Employee makes judgment calls inside a scope you define. It can read a sales call transcript and decide what kind of follow-up the deal needs. Automation can't.
That's the first conversation. We map where you're losing time, where the work is most repeatable, and where an AI Employee gives you the biggest leverage. We start there.
We run on enterprise-grade infrastructure with support for SOC 2 and GDPR requirements. Every AI Employee operates inside the boundaries you define.
You go month to month at the standard rate, or move to a 12-month plan at a discount. Most clients don't leave. They add a second AI Employee.
The work an AI Employee handles is the work your team doesn't want to do, doesn't have time to do, or shouldn't be doing in the first place. Your people focus on the work that actually requires them.