AI Consulting Services
Your Competitors Are Building AI Agents. You’re Still Waiting For IT To Respond To Tickets.
While you’re debating whether AI is “real” or just hype, your competitors are:
- Automating 40+ hours of work per week with AI agents
- Cutting customer support costs by 70% with AI chatbots
- Generating SEO content at 10x the speed for 1/10th the cost
- Building custom AI tools that give them unfair advantages
AI isn’t coming. It’s already here. And every month you wait is another month your competitors pull further ahead.
I help Perth businesses cut through the AI hype and implement practical AI that saves money, saves time, and actually works—not just another chatbot that pisses off your customers.
Database Management and Segmentation
Our AI agent selection identifies potential buyers and repeat customers in your database and creates segments and messaging to win customers.
Marketing Automation
Personalisation & Recommendations
Our AI agent selection will provide a personalised experience and recommend relevant products and services to your customers where they are and in context to what they are looking at.
A/B Testing
We use conversion-minded AI agents to conduct 24/7 A/B testing on your campaigns to determine the most effective elements.
Spam Testing
Analytics
Our marketing automation services streamline your campaigns, helping you reach your audience.
The Real Reason You Haven’t Started Using AI Yet
Let’s be honest about what’s stopping you:
❌ “I don’t know where to start” – There are 10,000 AI tools. Which ones actually matter? Which are scams?
❌ “What if we pick the wrong thing?” – You don’t want to waste $50K on AI that doesn’t work or gets replaced in 6 months.
❌ “My team will resist it” – They’re scared AI will replace them. Or they don’t trust it. Or they’re too busy to learn another tool.
❌ “Is this just hype?” – Every vendor is slapping “AI-powered” on their product. How do you know what’s real?
❌ “What about data security?” – You can’t just dump customer data into ChatGPT. What’s safe? What’s stupid?
❌ “We’re not a tech company” – You’re in retail, construction, professional services, this AI stuff seems like it’s for Silicon Valley, not you.
Here’s the truth: These are all valid concerns. And they’re exactly why you need someone who’s already figured this out for dozens of businesses.
The AI Reality Check: What’s Hype vs What’s Saving Businesses $100K+/Year.
HYPE: “AI will do everything for you!”
REALITY: AI is a tool, not magic. It’s incredible at specific tasks, terrible at others. You need to know the difference.
HYPE: “Just plug in ChatGPT and you’re done!”
REALITY: Consumer AI is cool. Business AI requires custom training, proper integration, security, and workflow design.
HYPE: “AI will replace your entire team!”
REALITY: AI makes your team 3-5x more productive by handling the grunt work. Smart businesses use AI to scale WITHOUT hiring.
What AI ACTUALLY does right now: ✅ Writes first drafts (content, emails, reports) that humans polish
✅ Answers repetitive questions (support, sales, internal)
✅ Processes documents (invoices, contracts, forms) in seconds
✅ Generates variations (ad copy, product descriptions, images)
✅ Analyses data and creates insights humans would take days to find
✅ Automates workflows that used to require 5 different tools
What AI still can’t do well: ❌ Make strategic business decisions (it can inform them, not make them)
❌ Handle nuanced customer relationships
❌ Replace deep domain expertise
❌ Deal with truly novel situations it hasn’t seen before
AI Adoption Framework
How We Actually Implement AI (Without Breaking Your Business).
Most AI implementations fail because companies try to do too much too fast.
Here’s how we do it right:
Phase 1: Find The Low-Hanging Fruit (Week 1-2)
- Identify 3-5 repetitive tasks that eat the most time
- Calculate exact time/cost savings potential
- Pick the highest ROI, lowest risk wins to start
Phase 2: Proof of Concept (Week 3-4)
- Build small pilot implementations
- Test with 2-3 team members
- Measure actual results vs predictions
- Get team feedback and buy-in
Phase 3: Refine & Scale (Week 5-8)
- Fix issues discovered in the pilot
- Train the broader team
- Roll out to full operations
- Document processes and workflows
Phase 4: Expand & Optimise (Ongoing)
- Identify next automation opportunities
- Fine-tune existing AI systems
- Add capabilities as team gets comfortable
- Stay ahead of AI developments
The key: Start small. Prove value. Build confidence. Then scale.
AI Security & Ethics Done Right
How To Use AI Without Being Reckless or Getting Sued.
Let’s address the elephant in the room—security and compliance.
What NOT to do: ❌ Dump customer data into public ChatGPT
❌ Let AI make decisions without human oversight
❌ Train AI on competitors’ copyrighted content
❌ Ignore data residency and compliance requirements
❌ Let AI talk to customers without testing thoroughly
What WE do: ✅ Use private AI instances for sensitive data
✅ Implement proper access controls and audit trails
✅ Build human-in-the-loop systems for critical decisions
✅ Ensure GDPR/privacy compliance
✅ Train AI only on data you have rights to
✅ Test extensively before customer-facing deployment
Industries we’ve helped navigate AI compliance:
- Healthcare (HIPAA considerations)
- Financial services (regulatory requirements)
- Legal (confidentiality and privilege)
- Professional services (client data protection)
Frequently Asked Questions on AI
Frequently Asked Questions
Will AI replace my employees?
No. AI replaces TASKS, not people. The businesses winning with AI are:
- Keeping their team the same size but 3-5x more productive
- Growing revenue without proportional headcount increases
- Letting employees focus on high-value work instead of grunt work
Your employees won’t lose jobs to AI. But you might lose employees to competitors who give them AI tools that make their jobs easier.
What if the AI makes mistakes?
It will. That’s why we build human-in-the-loop systems:
- AI handles 80-90% automatically
- Humans review 10-20% (edge cases, high-stakes decisions)
- AI learns from corrections
Think of it like spell-check. It catches 95% of errors, but you still proofread important emails.
How do I know this is not just hype?
Fair question. Here’s how to spot BS:
- If someone promises AI will “do everything,” run away
- If they can’t show ROI calculations, they’re guessing
- If they won’t do a small pilot first, they’re not confident
We start with proof-of-concept. You see results BEFORE committing big money.
Is our data safe?
Only if you do it right. We use:
- Private AI instances (not public ChatGPT)
- Proper access controls and encryption
- Compliance with GDPR, HIPAA, etc.
- Audit trails for accountability
Never trust someone who says “just throw your data in ChatGPT.”
How long until we see an ROI?
Depends on the implementation:
- Quick wins (chatbots, basic automation): 1-3 months
- Medium projects (content engines, workflows): 3-6 months
- Complex systems (custom AI agents): 6-12 months
Average across all our clients: 6-month full ROI, then ongoing savings/gains.
What if a better AI model comes out next month?
It will. AI is evolving fast. That’s why we:
- Build modular systems that can swap AI models
- Use platform-agnostic approaches
- Focus on workflows, not just tools
- Keep clients updated on relevant developments
The businesses that wait for “perfect” AI will wait forever. The businesses that start now and adapt are the ones winning.