Why this article exists
Most AI pricing pages are either vague ("contact us for a quote") or designed to upsell. This article gives you real numbers based on what we charge and what we see in the Australian market. If you are comparing options, this is the reference we wish existed when we started.
The Short Answer
AI implementation for an Australian small business costs anywhere from $0 to $25,000+, depending on three things: what you are automating, how sensitive the data is, and whether you do it yourself or hire someone. Most businesses that see genuine ROI spend between $5,000 and $15,000 on their first properly scoped project.
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: 3–6 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. 2–6 week delivery.
What You Get at Each Price Point
| Feature | DIY ($0–$500/mo) | Freelance ($2K–$5K) | Consultant ($8K–$25K) |
|---|---|---|---|
| Workflow audit | No | Basic | Comprehensive |
| Number of workflows | 1–2 (trial and error) | 1 (well-defined) | 3–8 (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 | 1–2 integrations | Full CRM/ERP/workflow integration |
| Ongoing support | Community forums | Limited (30–60 days) | 3–6 months included |
| Time to working system | 3–6 months | 2–4 weeks | 2–6 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 at the $2,000–$5,000 range. Complex multi-system workflows push toward $15,000–$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. That adds $2,000–$5,000 to the project for proper setup, but it is not optional for regulated industries.
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 10–15% 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?
A well-scoped AI implementation typically recovers 1.5 to 3 hours per employee per day on the automated tasks. For a team of 5 employees at an average loaded cost of $45/hour, that represents:
- 1.5 hours/day × 5 people × 260 working days = 1,950 hours/year
- At $45/hour loaded cost = $87,750 in annual labour value recovered
Against a $10,000–$15,000 implementation cost, that is a 6–9x return in the first year. The catch: 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 Readiness Assessment: A self-service assessment that identifies which of the 4 AI maturity stages your business is in and what to prioritise next. Take it here →
Free Pre-Discovery Call (30 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 →
AI Workflow Audit ($2,500): Comprehensive mapping of your business workflows, identification of the top 3–5 automation opportunities ranked by ROI, compliance requirements, and a build-or-buy recommendation for each.
Implementation Projects ($8,000–$25,000): Full design, build, training, and support for 3–8 automated workflows. Includes compliance setup for regulated industries and 3 months of post-launch support.
"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–$5,000. A consultant-led multi-workflow project runs $8,000–$25,000. Most businesses see ROI within 3–6 months on well-scoped projects.
Is it cheaper to implement AI yourself or hire a consultant?
DIY is cheaper upfront ($0–$500/month in tool subscriptions) but typically takes 3–6 months of trial and error. A consultant costs more initially but delivers a working system in 2–6 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?
Well-scoped implementations typically recover 1.5–3 hours per employee per day. For a team of 5, that represents $50,000–$150,000 in annual labour value. Most projects achieve positive ROI within 3–6 months.