Bottom line: AI implementation for Australian SMBs costs $0 to $25,000+.
The Short Answer
AI implementation for an Australian small business costs $0 to $25,000+, depending on what you are automating, how sensitive the data is, and whether you do it yourself or hire someone.
The key word is "properly scoped." The $45,000 failures we have seen almost always started without a clear workflow audit. The $5,000 successes almost always started with one specific bottleneck.
Three Tiers: DIY, Freelance, Consultant
DIY
You sign up for ChatGPT, Claude, or a no-code tool and figure it out yourself. Good for simple, low-risk tasks. Time cost: 3 to 6 months of experimentation.
Freelance
A freelancer builds a single automation or workflow. Good for one well-defined task. Limited ongoing support. No compliance guidance.
Consultant
Full workflow audit, system design, build, team training, and compliance. Multiple workflows. Ongoing support included. Delivery takes 2 to 6 weeks.
What You Get at Each Price Point
| Feature | DIY ($0 to $500/mo) | Freelance ($2K to $5K) | Consultant ($8K to $25K) |
|---|---|---|---|
| Workflow audit | No | Basic | Comprehensive |
| Number of workflows | 1 to 2 (trial and error) | 1 (well-defined) | 3 to 8 (prioritised by ROI) |
| Data compliance | Your responsibility | Rarely addressed | Built in (Privacy Act, APRA, AMA) |
| Team training | Self-taught | Handover docs | Live training sessions + documentation |
| Custom integrations | Limited to no-code tools | 1 to 2 integrations | Full CRM/ERP/workflow integration |
| Ongoing support | Community forums | Limited (30 to 60 days) | 3 to 6 months included |
| Time to working system | 3 to 6 months | 2 to 4 weeks | 2 to 6 weeks |
| Risk of wasted spend | High (wrong tool, wrong task) | Medium | Low (audit-first approach) |
What Drives the Cost
Five factors determine where your project falls on the pricing spectrum:
1. Workflow complexity. A chatbot answering FAQs from a knowledge base costs far less than a multi-step document processing pipeline that pulls from your CRM, generates a compliance-checked report, and routes it for approval. Simple automations sit in the $2,000 to $5,000 range. Complex multi-system workflows push toward $15,000 to $25,000.
2. Data sensitivity. If you handle client financial data, health records, or legal documents, you need private infrastructure: AU-hosted models or enterprise-tier API access with no cross-border data flows. Proper setup adds $2,000 to $5,000 to the project, and regulated industries need it.
3. Number of team members. Training one person takes an afternoon. Training a team of 15 across three departments takes structured sessions, documentation, and follow-up. Training costs scale roughly linearly with headcount.
4. Integration requirements. If AI needs to connect to your existing CRM, accounting software, project management tools, or email systems, each integration adds complexity. Off-the-shelf connectors (Zapier, Make) are cheaper but less reliable than custom API integrations.
5. Ongoing support. A one-off build with no support is cheaper but riskier. Models update, APIs change, and your team discovers edge cases. Budget 10% to 15% of the initial project cost per year for maintenance and support.
The ROI Question
Cost is only half the equation. The relevant question is: what does it cost you not to automate?
Work it out for your own team. Take the hours the automation saves each person a day, multiply by the number of people and by 260 working days, then by your loaded hourly cost. For example, one hour a day across 5 people at $45 an hour is 1,300 hours, or $58,500 a year.
This only works when you automate the right workflow. Automating a task that saves 10 minutes a week will never pay back a $10,000 project.
The single biggest cost mistake
Starting without a workflow audit. We have seen businesses spend $15,000 automating a process that was not their real bottleneck, then need another $10,000 to automate the one that actually mattered. A $2,000 audit before you build anything is the best investment you can make.
What THL Charges
For transparency, here is how our own pricing works:
Free AI Ownership Readiness Check: Six questions, scored instantly in your browser, that show whether your business is ready to run an AI system itself and what to fix first if it is not. Take it here →
Free Pre-Discovery Call (15 minutes): We review your workflows, identify the highest-ROI automation opportunity, and give you an honest recommendation, even if that recommendation is "do not hire us yet." Book a call →
SEO and AI Visibility Sprint (A$2,500 + GST): We take the fix plan from your AI visibility scan and do the work in about two weeks. Websites (from A$2,000): A fast, secure website built for search and AI engines, usually in under two weeks.
Custom builds (quoted per phase): We scope and price each phase before it starts, build it in your own accounts and train your team to run it. Includes compliance setup for regulated industries. Fractional deployed engineer (A$2,000 a month): Huxley works inside your business as your AI and web engineer, runs the systems we build and reports each month on your ads and AI visibility. All prices + GST.
"The businesses that get the best ROI from AI are not the ones that spend the most. They are the ones that identify the right bottleneck before they build anything."
Huxley Peckham, Founder, Tech Horizon LabsFrequently Asked Questions
How much does AI implementation cost for a small Australian business?
Costs range from $0 (DIY with free tools) to $25,000+ for a full consultant-led engagement. A single workflow automation with a freelancer typically costs $2,000 to $5,000. A consultant-led multi-workflow project runs $8,000 to $25,000.
Is it cheaper to implement AI yourself or hire a consultant?
DIY is cheaper upfront ($0 to $500/month in tool subscriptions) but typically takes 3 to 6 months of trial and error. A consultant costs more initially but delivers a working system in 2 to 6 weeks with compliance and training included. For regulated industries, a consultant usually saves money overall because they handle data sovereignty correctly the first time.
What drives the cost of AI implementation?
The main cost drivers are workflow complexity, data sensitivity and compliance requirements, number of team members needing training, custom integration requirements, and ongoing support needs.
What is the ROI of AI implementation for Australian businesses?
Work it out for your own team: hours saved a day, times the number of people, times 260 working days, times your loaded hourly cost. Start with your single biggest time bottleneck.