Can an AI employee really make and answer calls?
Yes. Modern voice agents can hold live phone conversations, ask structured qualifying questions, transcribe the call, and trigger follow-up actions in your workflow. The important part is not just the voice. It is the system around it.
How is this different from using ChatGPT?
ChatGPT is a tool someone has to sit there and use. A managed AI employee is connected to phone, email, documents, CRM, and task systems so it can qualify leads, draft follow-ups, update records, and report back without constant prompting.
Do we need an internal developer team?
No. We build, connect, monitor, and improve the AI employee for you. Your team gets the capacity without managing prompts, infrastructure, model updates, workflow logic, or integrations.
What can an AI employee actually do?
It can answer inbound calls or call new enquiries, ask qualifying questions, and book the next step. It searches your documents, notes, SOPs, and client files before it responds, drafts replies and follow-ups, updates your CRM, and sends the owner a daily report of what needs attention.
Which industries do you build AI employees for?
We build AI employees for real estate agencies, buyer's agents, property advisors, law firms, marketing agencies, and service businesses. Each one is trained around a specific profession and connected to the tools that business already uses.
Will it send messages without our approval?
Only if you want it to. High-impact outputs, such as client emails or case summaries, can be held in a review queue so your team approves them before they go out.
How much does a managed AI employee cost?
Managed AI employee builds are a monthly investment, designed for businesses where the value of the workflow justifies it. We use the audit first to confirm there is a strong use case before anything is built.
How do we get started?
Book an AI employee audit. We review your business, tools, and workflow bottleneck, identify the first use case worth building, and show you what that employee could handle. If there is a fit, we begin with the first controlled workflow.