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AI Employees

AI Employees that Actually Do the Work

Autonomous AI agents that read your email, update your CRM, send invoices, coordinate your team, and handle the routine operational work that drains human hours — integrated with the tools you already use, running continuously, with memory that accumulates institutional knowledge over time.

80+

Hrs/mo saved per client

24/7

Continuous operation

6

Sub-agents / system

85%

Autonomous execution

What an AI employee is (and is not)

An AI employee is not a chatbot. It is a production software system that performs real work end-to-end — reading inputs from your business systems, making decisions using a reasoning layer like Claude or GPT, and executing actions in the tools your team uses every day. It has memory that persists across interactions, so it remembers what happened last week and why. It has boundaries and confidence thresholds, so it knows when to act and when to escalate.

Think of it like hiring a new staff member — except the onboarding happens once, the institutional knowledge compounds rather than walking out the door when someone leaves, and the marginal cost of adding more work is close to zero. Unlike a human, it can work at 3 a.m. on a Sunday without anyone noticing.

Common roles we build

AI Executive Assistant

Manages inbox, drafts replies, schedules meetings, coordinates travel, prepares briefings, and keeps track of commitments across systems. See the case study for a full production example.

AI Operations Agent

Monitors job statuses, flags at-risk deliverables, escalates overdue items, generates daily operations reports, and ensures handoffs happen on time across teams.

AI Finance Agent

Generates invoices on job completion, reconciles payments against outstanding accounts, sends tiered follow-ups for overdue invoices, and prepares payroll and expense data.

AI Sales Development Rep (SDR)

Qualifies inbound leads, enriches records from the web, sends personalised follow-ups, books meetings, and hands warm leads to human closers.

AI Recruiter & HR Agent

Screens CVs, coordinates interviews, collects and validates compliance documents (Working with Children checks, visa, clearances), handles onboarding workflows, and manages leave requests.

AI Research Analyst

Investigates competitors, compiles market briefs, summarises long documents, and delivers structured research on demand.

How we build it

  1. Workflow audit (week 1). We sit with your team, map the top 10 recurring tasks, and score each one on automation feasibility and ROI.
  2. Scope and cost (week 1–2). We propose a prioritised roadmap with a fixed-scope first increment and projected monthly running costs.
  3. Build the first role (week 2–5). We ship the highest-ROI agent first — usually inbox triage — so you see value before the full system exists.
  4. Connect memory and tools (week 3–6). Supabase-backed memory, API integrations into Xero / MYOB / Microsoft 365 / ServiceM8 / whatever you use.
  5. Graduated autonomy (week 4+). Every action starts in draft mode for human approval. As accuracy is proven, autonomy is gradually increased per workflow.
  6. Handover and tuning (ongoing). Weekly quality review for the first 60 days to catch edge cases and refine thresholds.

Technology we use

Claude (reasoning)
OpenAI (reasoning)
N8N (workflows)
Supabase (memory)
Microsoft Graph
Xero / MYOB
ServiceM8
HubSpot
Twilio (SMS / voice)
ElevenLabs (voice)
Cloudflare (security)
Australian hosting

Pricing

Single-role AI employeeFrom $8,000 AUD
Multi-agent AI employee (full function)$25,000–$50,000 AUD
Monthly infrastructure$150–$600 AUD
AI Strategy Audit (if needed first)$1,500 AUD

Fixed-scope quotes only. No hourly billing. Strategy audit fee is credited back if you build with us.

Example in production

Our most mature AI employee system runs for a Perth-based commercial services company managing over 50 staff. It handles 200+ emails per day, runs 60+ automated workflows across finance, HR, operations, and property management, and saves the managing director 80+ hours per month of administrative work. The system reached 85% autonomous execution within four months of launch.

→ Read the full case study

Frequently Asked Questions

What is an AI employee?

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An AI employee is an autonomous software agent that performs ongoing business tasks end-to-end — not a chatbot that only answers questions. A well-built AI employee reads your email, classifies messages, drafts replies, updates your CRM, triggers invoices, coordinates staff, and escalates edge cases to a human. It works inside the same tools your team already uses.

How is an AI employee different from ChatGPT or a chatbot?

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ChatGPT answers questions inside a chat window. An AI employee acts in the real world — it has access to your email, calendar, accounting system, CRM, and whatever else is needed for the role. It has memory that persists between interactions, so it remembers client preferences, past conversations, and open tasks. And it takes autonomous actions (with confidence thresholds and human review for edge cases) rather than only generating text.

How much does an AI employee cost in Australia?

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Build investment for a full AI employee typically ranges from $8,000 AUD for a narrow single-role agent up to $50,000 AUD for a multi-agent system that covers an entire operations function. Monthly infrastructure (LLM tokens, N8N hosting, integrations) runs $150–$600 AUD depending on volume. For comparison, a human administrator in Australia costs around $75,000–$95,000 AUD per year fully loaded.

What kinds of jobs can an AI employee actually do well?

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Repetitive, rules-based, digital work with clear inputs and outputs. Examples we have deployed in production: email triage and reply drafting, lead qualification and enrichment, appointment booking, invoice generation and follow-up, candidate screening, order fulfilment, document intake, compliance checking, customer onboarding, and research summarisation. Creative work, complex negotiation, and high-stakes judgement still need a human — but AI can handle the 80% of routine work that surrounds them.

What happens when the AI is not sure what to do?

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Every AI employee we build uses confidence thresholds. High-confidence actions execute automatically. Low-confidence actions are routed to a human for approval — usually through the same inbox, Slack, or Telegram channel your team already uses. Every action is logged with reasoning, so you can always audit what the AI did and why.

How long does it take to build an AI employee?

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A single-role AI employee (e.g. inbox manager, lead qualifier) takes 3–5 weeks from discovery to production. A multi-agent AI employee that covers an entire function takes 8–12 weeks in prioritised increments. We ship the first useful workflow within the first two weeks of any project so you see value early.

Can we start small and scale up?

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Yes — and we recommend it. Start with one high-pain workflow (usually inbox triage). Prove ROI. Add the next workflow. This is how we built the 60-workflow AI executive assistant documented in our case studies, and it is significantly lower risk than trying to automate everything at once.

Ready to build your first AI employee?

Book a free 30-minute scoping call. Tell us what is eating your team's time — we'll tell you whether AI can handle it and what it would cost.

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