Your AI ops team drafts. You decide.
We set up a team of AI agents for owner-led companies and keep it running. Each agent has a written job, a schedule, and access to only the tools that job needs. Anything new that goes out with your name on it waits for your OK on the exact text.
I run my own company this way. Here’s what that looks like.
Brandon Howard, CEO of Zelifcam, a San Antonio software and Odoo partner
What is an AI ops team?
An AI ops team is a group of AI agents that each own one recurring job in your business. One writes the morning brief. One drafts invoices. One reads the inbox for questions nobody answered. Each has a written job description, a schedule and limited access, and a person approves the work before it matters.
You’ll hear it called AI employees, digital workers or agentic workflows. In software they call the dev version a software factory. I just call it the team.
A team of AI agents. One person who says yes.
This is the real reporting line at Zelifcam. Tap any box to see its job, when it runs, and what it isn’t allowed to do.
The gate. Anything new with my name on it waits for my OK on the exact text. Routine invoices go out after a check. The rest comes back up the line.
- Client email
- Posts
- Proposals
- Unusual invoices
- Payroll
- Payments
- Account changes
A normal week, and where I still click the button
Logins live in a password vault. The agents use them, but they never show up in a chat or a file.
Start with one department
Nobody needs a whole team of AI agents on day one. Pick the part of your company that runs on someone’s inbox. That’s usually where the busywork piles up.
Paid pilot, one department first.
You buy the agent platform seats directly, in your company’s name. We don’t mark them up.
- We pick the department together. Sales follow-up, AR, the front office, whatever eats your week.
- We write the jobs down. A small AI team, each agent with a job, a schedule and rules in plain English. You read them and sign off. They’re yours.
- We connect the tools you already use. Email, calendar, your CRM or your accounting system, with only the access each job needs.
- We run it side by side with your team first. The agents work next to the way you do it now, and you compare until you’re comfortable. Then we decide together what to loosen and what stays locked.
What happens to my people’s jobs?
Some jobs change. I won’t pretend they don’t.
I didn’t let anyone go to build this. I use it so the people I have spend their day on clients instead of copy and paste.
Some jobs do change. The person who used to chase every invoice now checks the drafts and handles the ones that need a phone call. That’s a real change, and your team deserves to hear it from you before anything starts.
We’ll help you have that conversation. We tell your staff the truth about what the agents do, a person approves anything a customer sees, and we don’t build anything that scores or watches your employees.
The rules we bring with us
- One agent, one job. Each one sees only the accounts its job needs.
- Your name, your OK. Anything new with your name on it waits for your OK on the exact text. Routine items loosen only after they prove out.
- Read-only first. Mailboxes and finance start read-only. Write access gets earned.
- Side by side before trust. A new job runs next to the old way until it proves out.
- One recommendation, not a menu. When an agent needs you, it brings its best answer and why.
- No made-up numbers. If an agent can’t find a fact, it says so.
- No patient data until the platform and every connection are covered by a signed BAA.
Same idea in our dev shop: a small software factory
Our developers hand small, well-scoped tasks to an agent. It writes the change, runs the tests and moves the task to QA. Then a person reviews it, a person merges it, and a person presses deploy.
It didn’t work perfectly the first month. Review fell behind the agent, so we made a rule: a person approves every release to a live system. Every company is different, and that’s why the rules matter more than the tools.
Questions owners ask me about AI agents
- We tried a chatbot. It didn’t stick.
- A chat window waits for you to ask. These agents have jobs and schedules, and they bring the work to you.
- What if it gets something wrong?
- It will, sometimes. That’s why anything new with your name on it waits for your OK on the exact text, and why new jobs run side by side with the old way first.
- Is this the same as an AI chief of staff?
- That’s one piece of it. My Director of Operations agent does the chief of staff part: the morning brief, what slipped, what needs me. An ops team adds agents with their own jobs underneath it.
- How is this different from a no-code automation tool?
- An automation runs the same steps every time. An agent reads what’s in front of it, drafts the work and brings the odd case to a person.
- Is my data safe?
- Each agent gets only what its job needs, and logins stay in a vault. Before setup we confirm what the platform stores and where.
- Who keeps it running?
- We do, on the monthly plan. Broken connections, new rules as your business changes, and a monthly review with you.
- Am I locked in?
- The jobs and rules are written in plain English and belong to you. They can be rebuilt on another platform.
If one department runs on your inbox, let’s talk.
I’ll walk you through how my setup works, and we’ll figure out if a pilot makes sense for you. If it doesn’t, I’ll tell you.
Read how I run Zelifcam