Question 1

What is an AI employee?

Accepted Answer

An AI employee is a system that handles a defined business workflow — like answering customer emails, chasing invoices, or updating your CRM — using your own business knowledge. It runs 24/7 with human approval built in, and it connects to the tools you already use.

Question 2

What kinds of tasks can you automate?

Accepted Answer

Customer replies, invoice follow-ups, lead handling, research and briefs, CRM updates, content repurposing, reporting, and client intake. If a task is repetitive, documented, and rules-based, it can usually be automated.

Question 3

Will this replace my staff?

Accepted Answer

No. The goal is to remove repetitive work so your team can focus on judgment, relationships, and growth. The AI handles the busywork; humans stay in control of sensitive decisions and escalations.

Question 4

How do you stop the AI from making mistakes?

Accepted Answer

Every system has human approval points for sensitive actions, escalation rules for edge cases, and full logging so you can see exactly what happened. Nothing important runs blind.

Question 5

What tools can you connect to?

Accepted Answer

Most modern stacks — Gmail, Outlook, Slack, CRMs (HubSpot, Pipedrive, Airtable), Notion, Google Workspace, Stripe, Xero, plus automation platforms like Make and Zapier. If it has an API or a webhook, it can usually be connected.

Question 6

How long does a build take?

Accepted Answer

A single AI employee sprint typically takes 7–14 days from audit to deployment. Larger multi-system builds take longer and are scoped during the audit.

Question 7

How much does it cost?

Accepted Answer

A custom AI Employee Sprint is from A$4,900 fixed — 50% upfront, 50% on go-live. The full ClawConnect platform is A$6,000 implementation (hosted instance and A$1,300 in platform credits included) plus Growth at A$997/month or Scale at A$2,500/month, cancel anytime. The audit call is free and exact pricing is quoted before any work starts.

Question 8

Do we need clean documentation first?

Accepted Answer

No, but it helps. Part of the audit is mapping how the work currently happens. If your processes live in people's heads, we document them together as part of the build.

Question 9

What happens after launch?

Accepted Answer

Every deployed system includes logging, visibility, and a review window. From there you can run it standalone, add more workflows, or move onto an AI Ops retainer for ongoing improvements.