Same Questions, Every Day
Your support team answers the same 20 questions over and over. Where is my order? How do I reset my password? What are your opening hours? Staff spend hours on work that does not need a human.
An AI agent that handles your repetitive customer enquiries (order status, billing questions, FAQs, booking confirmations) 24/7, connected to your actual business systems.
Perth-based. Australia-wide. Custom-built to your support workflows. Fixed-price scoping.
Most customer support teams spend 60–70% of their time on enquiries that follow a predictable pattern. Where is my order? Can I change my booking? What are your prices? How do I reset my password? The answers exist. They are just trapped in systems, documents, and the heads of experienced staff.
Meanwhile, the complex queries (complaints, escalations, technical issues that need real human judgement) sit in the queue behind routine questions. Your best people spend their day on work that should not need them.
A customer support AI agent takes the routine enquiries off your team. It answers from your knowledge base, checks your business systems for live data, and escalates the stuff that genuinely needs a human. Your team focuses on high-value work. Customers get faster answers. Support costs stop scaling linearly with growth.
If three or more of these sound like your business, a support AI agent will make a measurable difference.
Your support team answers the same 20 questions over and over. Where is my order? How do I reset my password? What are your opening hours? Staff spend hours on work that does not need a human.
Enquiries sit in a queue for hours, sometimes days. Customers chase with follow-ups, which makes the queue worse. After-hours messages wait until tomorrow morning.
Different staff give different answers to the same question. New hires take months to get up to speed. There is no single source of truth for how to handle common situations.
Your business gets enquiries at 9pm, on weekends, on public holidays. But nobody is there to respond. By Monday morning, those leads are cold. Or they have gone to a competitor.
Every time business grows, you need more support staff. More enquiries means more salaries, more training, more management overhead. The support cost curve never flattens.
Customer emails one person, calls another, chats on the website. Nobody has the full picture. The customer repeats themselves three times. Internal notes are scattered across inboxes and notepads.
Three stages. No surprises. Your live support stays untouched until cutover — delivered personally by the founder.
Week 0
15-minute scoping call. We map your current support process, the questions/data the AI will work with, and the systems the AI must act in. Fixed-price quote inside 48 hours.
Weeks 1–N
Support AI agent built and parallel-run alongside your live helpdesk for two weeks. Every answer, decision and escalation validated before production. Human-in-the-loop where confidence is lower.
Cutover
Production cutover on a planned window. Team training, monitoring active, 30 days post-launch support. Documentation, prompts and source code handed over in full.
Five deployment patterns we build most often. Most projects combine elements from two or three of these.
A support agent embedded on your website that handles customer enquiries in real time. It draws answers from your knowledge base, FAQs, product information, and account data. Customers get accurate answers in seconds, not hours.
The agent does not just provide information. It can check order status by querying your e-commerce or job management system. It can look up invoices in Xero or MYOB. It can update contact details in your CRM. Real tasks, completed in the conversation.
An agent that reads incoming support emails, classifies them by type and urgency, and either responds directly or routes them to the right person. No more manually reading and sorting every message that hits the inbox.
For routine enquiries like order status, pricing questions, and account queries, the agent drafts and sends a response using your data and your tone of voice. For complex issues, it creates a categorised ticket and assigns it to the right team member with a summary.
Customers increasingly reach out via WhatsApp, Facebook Messenger, or SMS, especially in trades, retail, and hospitality. An AI support agent on these channels means instant responses on the platforms your customers already use.
The agent handles the same enquiries it would on your website: product questions, booking confirmations, order tracking, account queries. It connects to the same business systems and follows the same rules.
Not all support agents face customers. We build internal helpdesk agents that handle staff enquiries: IT issues, HR policy questions, process guidance, system troubleshooting. Same approach, different audience.
The agent searches your internal knowledge base, policy documents, and IT documentation to answer questions instantly. "How do I submit a leave request?" "What is the WiFi password for the Melbourne office?" "How do I connect to the VPN?"
A specialist agent trained on your product catalogue, pricing, specifications, and FAQs. Customers ask natural language questions and get accurate, detailed answers, not a link to a generic help page.
"Which model fits a 3-tonne excavator?" "Is this compatible with the 2024 version?" "What is the difference between the Pro and Enterprise plan?" The agent knows your products and gives specific, useful answers.
We built an AI-powered search system for a consulting firm. Consultants now find relevant insights across a decade of reports and proposals in seconds.
Read the full case studyNot a basic chatbot with canned responses. A connected, secure, intelligent support agent.
Queries CRM, accounting, job management, and inventory in real time. Answers based on live data, not static FAQs.
Smooth escalation with full context. The customer never repeats themselves. Your team gets the conversation history, data retrieved, and a summary.
Role-based data access. The agent only sees what it should. Audit logging on every action. Data stays in your environment.
See what customers are asking, resolution rates, escalation patterns, and response times. Track ROI and identify gaps in your knowledge base.
Configurable confidence thresholds. If the agent is not sure, it says so and escalates. No hallucinated answers or made-up information.
One agent across your website, WhatsApp, email, SMS, Messenger, Slack, or Teams. Same knowledge, same rules, every channel.
The biggest friction in customer support is waiting. Waiting for someone to read the email. Waiting in a queue. Waiting for a callback. Every minute of waiting erodes satisfaction and increases the chance the customer takes their business elsewhere.
An AI support agent responds instantly. It reads the message, understands the intent, checks the relevant system, and provides an answer, all within a few seconds. No queues, no office hours, no backlog.
For one retail client, average first-response time dropped from 4.5 hours to under 30 seconds. Customer satisfaction scores increased 22% in the first quarter.
Each support agent you hire costs $55,000 to $75,000 a year (fully loaded). An AI agent that handles 60-70% of routine enquiries costs a fraction of that, and does not need leave, training, or management.
We are not talking about replacing your support team. The AI handles the volume work: status checks, FAQs, simple account queries. Your human team handles the complex, high-touch situations where they add the most value.
The economics change fundamentally. Support costs no longer scale linearly with customer volume. You grow the business without proportionally growing the support budget.
Human agents vary. Some are experienced and thorough, others are new and still learning. Some are having a great day, others are not. The same question can get five different answers depending on who picks it up.
An AI agent gives the same quality answer every time. It draws from the same knowledge base, follows the same rules, and applies the same tone. Consistency is baked in, not dependent on individual performance.
When the answer changes (a policy update, a new product, a pricing change) you update it once and every response from that point is correct. No retraining 15 people and hoping the message sticks.
Seasonal peaks, marketing campaigns, product launches. Your enquiry volume can spike without warning. With a human-only team, spikes mean long wait times, stressed staff, and dropped balls.
An AI support agent handles 50 concurrent conversations as easily as 5. It does not slow down at peak times. It does not burn out. It does not call in sick the Monday after a big campaign.
You can grow your customer base confident that your support can keep up. The agent scales infinitely; your team stays focused on the work that genuinely needs them.
The industries and scenarios where we see the biggest impact from AI support agents.
Order tracking, returns processing, product questions, stock checks, delivery updates. The agent connects to your e-commerce platform and answers from live data.
After-hours job enquiries, booking confirmations, quote requests, ETA updates. Connects to ServiceM8, simPRO, or your job management system.
Client enquiries about project status, invoicing queries, appointment scheduling, intake form processing. Integrates with your CRM and accounting software.
Appointment booking, procedure prep information, billing queries, referral status. Privacy-compliant deployment with strict data handling rules.
Account questions, feature guidance, billing and subscription queries, basic troubleshooting. Draws answers from your docs, knowledge base, and account data.
Member enquiries, event registrations, renewal reminders, policy questions. Searches member database and org documents for accurate personalised answers.
Every project follows a structured delivery process. You see working results early and expand from there.
Your support agent is only useful if it can access your actual business data. We connect it.
Look up invoices, check balances, retrieve payment history. The agent answers billing queries using your live accounting data.
Check customer records, update contact details, log interactions, create tickets. The agent works with your CRM like a team member would.
Check job status, create bookings, look up availability, send confirmations. Perfect for trades businesses with after-hours enquiries.
Order tracking, returns, stock checks, product information. The agent accesses your store data and answers from current inventory.
Integrates with Zendesk, Freshdesk, HubSpot Service Hub, or shared inboxes. Triages, responds, and creates tickets automatically.
SQL databases, Access databases, internal portals, custom APIs. If your system has data the agent needs, we connect it.
We used to have three staff handling after-hours enquiries on rotation. The AI agent now handles 73% of those enquiries end-to-end: bookings, order checks, FAQ answers. Staff only see the ones that need a human. Response time went from hours to seconds.
You get working software, not a slide deck of recommendations. Everything we design gets built, tested and handed over — not left as a strategy artifact.
You know the cost before we start. No hourly surprises, no scope creep — we scope it, quote it, ship it.
Perth-based team who understand Xero, MYOB, ServiceM8, simPRO, Cliniko, Deputy — the tools your business actually runs on.
You email Kasun, you get Kasun. No account managers, no offshore handoff — straight from scope to ship.
When it is done, you own every line of code, every credential, every artefact. No lock-in, no license fees, no black-box dependencies.
We provide a fixed-price quote after scoping. A focused support agent handling FAQs and basic enquiries from a knowledge base sits at the lower end of project size. A more advanced agent with live system integrations (checking orders, looking up invoices, creating tickets) is larger. Ongoing hosting and model usage are scoped during the build.
A basic support agent with knowledge base and website deployment: 3 to 5 weeks. An agent with system integrations (CRM, accounting, e-commerce): 6 to 10 weeks. We always start with a scoped proof of concept so you see it working early.
Yes. We integrate with Zendesk, Freshdesk, HubSpot Service Hub, Intercom, and most helpdesk tools. If you use shared email inboxes, we can work with that too. The agent creates, categorises, and assigns tickets within your existing workflow.
We build guardrails into every agent. Confidence thresholds mean the agent escalates rather than guessing. All conversations are logged so you can review and flag issues. We tune the agent regularly based on conversation reviews and escalation analysis. Accuracy improves over time.
Yes. That is the foundation. We ingest your knowledge base, product catalogue, FAQs, manuals, and policy documents. The agent draws from this content to answer questions accurately. When your content changes, we update the agent knowledge base to keep answers current.
Yes. Enterprise-grade security with encrypted data in transit and at rest. Role-based access controls so the agent only accesses the data it needs. Full audit logging of every conversation and action. Data stays in your environment. We do not train models on your customer data.
Absolutely. Most clients start with a focused scope: handling the top 10 or 20 common enquiries on one channel (usually website). Once that is working well, we expand to more enquiry types and more channels. You see it performing before scaling.
Yes. Every support agent includes ongoing monitoring and improvement. We track resolution rates, escalation patterns, and customer feedback. We update the knowledge base, refine responses, and expand capabilities over time. Monthly performance reports included.
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What do your customers ask most? What systems do you use? Where are the bottlenecks? We will come back with a realistic plan.
Prefer a quick chat? Call 0425 531 127. We answer the phone in Perth.