Your 24/7 Operator That Gets Smarter

Not a chatbot.
An operator.

Handles the role 24/7 and gets better at it over time.

I build an AI employee that handles a specific role: front desk, bookkeeper, customer support, SDR. Connects to your existing tools. Learns your processes and gets smarter over time.

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Common Roles

Pick a role. I'll build the employee.

Customer Service

Handles tickets, resolves issues, escalates edge cases

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Sales Development

Qualifies inbound leads, books meetings, follows up

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Appointment Setting

Manages calendar, confirms bookings, recovers no-shows

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Operations Manager

Coordinates workflows, monitors KPIs, flags bottlenecks

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Bookkeeper

Tracks invoices, categorizes expenses, reconciles accounts

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Research Analyst

Monitors competitors, aggregates market data, writes briefs

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Admin Assistant

Manages email, schedules meetings, handles routine requests

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Data Entry

Processes forms, updates CRM records, validates data

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Social Media Manager

Creates posts, schedules content, monitors engagement

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IT Support

Troubleshoots issues, resets passwords, routes complex tickets

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Project Manager

Tracks milestones, sends status updates, manages deadlines

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HR Coordinator

Screens applicants, schedules interviews, onboards new hires

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Architecture

How an AI employee thinks.

🧠

Agent

The brain. Has a defined identity, goals, and decision-making boundaries.

⚡

Skills

Capabilities it can learn. Each skill is a specific workflow or process.

🔧

Tools

Deterministic actions. API calls, data lookups, message sending. No guessing.

Time Audit

Calculate your time savings.

Operations Time Audit

See how much time and money an AI employee could save your business.

Task Inventory

85% automatable
95% automatable
75% automatable

Self-Improvement

It doesn't just do the job. It gets better at it.

This is optional. Not every role needs it. But for roles with measurable output (conversion rates, response times, resolution rates), it turns good into great.

📊

Harvest

Collects performance data from every action

💡

Hypothesize

Generates ideas for improvement based on patterns

🧪

Test

Runs controlled experiments on the best hypotheses

📈

Compound

Winning strategies get permanently added to its playbook

Compare The Options

What it costs to fill a role.

Full-Time Hire

$40-80K/yr

  • •3+ month ramp
  • •Sick days & PTO
  • •Turnover risk
  • •Limited to business hours

VA

$2-3K/mo

  • •Needs daily management
  • •9-5 only
  • •No initiative
  • •High turnover

SaaS Tool

$50-500/mo

  • •Rigid workflows
  • •No judgment or context
  • •No initiative
  • •One narrow function

AI Employee

$3-20K setup + $75-500/mo

  • ✓24/7 operation
  • ✓Learns your processes
  • ✓Takes initiative
  • ✓Self-improves over time

FAQ

Common questions.

What's the difference between an AI employee and a chatbot?+
A chatbot answers questions from a script. An AI employee takes initiative: it monitors systems, identifies tasks, executes them, and reports back. It connects to your real tools (CRM, email, Slack), makes decisions within defined boundaries, and handles multi-step workflows autonomously.
How does self-improvement work?+
When a measurable metric exists (response time, resolution rate, conversion rate), the AI tracks its own performance, generates hypotheses for improvement, tests them, and compounds the learnings. It's not just A/B testing. It proactively researches new approaches and evolves its playbook.
What tools can AI employees connect to?+
Any tool with an API: CRMs (HubSpot, Salesforce), communication (Slack, WhatsApp, email), project management (Asana, Monday), accounting (QuickBooks, Xero), and custom internal systems. I build the integrations; you don't replace any existing tools.
How long does setup take?+
Simple roles (customer service, appointment setting) typically go live in 1-2 weeks. Complex roles (operations management, multi-department coordination) take 3-4 weeks. Self-improvement loops need 4-6 weeks of data before they activate.
What happens if the AI makes a mistake?+
You define the autonomy boundaries. High-confidence routine tasks run autonomously. Edge cases and high-stakes decisions get flagged for human approval. Every action is logged, so you can audit decisions and adjust boundaries. The AI errs on the side of asking rather than guessing.
What if my processes change?+
The AI adapts. Skills can be updated, added, or removed. It's modular by design. Change a process, update the skill, and the AI handles it from that point forward.
How do I know it's working correctly?+
Every action is logged with reasoning. You get daily/weekly reports. Edge cases get flagged for your review. Full audit trail from day one.

Ready to hire an AI employee?

Run the audit above to see your numbers. Then let's talk about which role to automate first.

Book your strategy call →