AI that works the way your business already does.

Apply four tests in order. Does it run more than about fifty times a month? Could a competent new employee learn the rules in a week? What does one instance cost you today in time multiplied by a loaded hourly rate? And what happens when it goes wrong — because if a mistake is expensive or hard to spot, the checking logic is most of the build cost. Processes that pass all four are worth automating. Processes needing judgement every time generally are not, and automating them produces confidently wrong output.

First, pull your call logs for a month — most phone systems export this. If the missed calls cluster outside business hours, an AI receptionist addresses that directly and is the cheapest gap to close. If they cluster during business hours because your team is stretched, you need more people rather than more software. And if calls are being answered but not converting, neither helps; the problem is follow-up, and adding capacity at the front door will not fix it.

Yes for anything with an API, which covers Xero, MYOB, QuickBooks, HubSpot, Salesforce, most scheduling tools and the major job management platforms. For systems without an API we build middleware, though that is slower and more brittle, so it is worth checking before committing. The more useful question is usually not whether we can connect to a system but whether the data in it is clean enough to act on — that is more often the blocker.

This is the right question to ask any vendor, and the answer should be architectural rather than reassuring. Agents we build quote from your actual price list and availability rather than generating figures, so there is nothing to invent. Anything outside the defined scope triggers an escalation to a person instead of a guess. Every agent is tested against deliberately awkward and out-of-scope calls before go-live. No system is perfect, so the thing to check is whether errors are contained and visible, not whether the vendor claims they cannot happen.

A conversational agent is typically two to four weeks from discovery to live. Custom software runs two to eight weeks depending on how many systems it touches. The engineering is rarely what determines the timeline — it is usually access to your systems, decisions about edge cases, and whoever needs to approve the escalation rules. Projects that run late almost always do so on those, which is why we front-load them in discovery.

No. If a system we build requires you to understand how it works in order to use it, we have built it wrong. You get an interface, training for your team, and documentation. Our managed option means we operate it and you simply use it. What we do ask is that someone on your side owns the decisions — what counts as an emergency, who gets escalated to, what the agent must never do. Those are business decisions, not technical ones, and they cannot be outsourced.

It depends on the state, and the rules genuinely differ — some jurisdictions are one-party consent, others require all parties. The practical position is to announce recording at the start of the call, which satisfies the stricter states and surprises nobody. The alternative worth considering is not recording at all: modern voice platforms support zero-retention configurations where audio is processed live and nothing is stored. We run our own website demo that way. This is general information rather than legal advice — get advice for your situation.

With us, a single-purpose agent with one integration typically runs $5,000 to $15,000 to build. A multi-step workflow touching several systems is $15,000 to $40,000, and a bespoke platform replacing existing tools starts around $40,000. Ongoing support runs $300 to $2,000 a month. A managed AI receptionist is simpler again: $500 a month plus a $1,500 setup fee. Before commissioning anything, run the process manually with an off-the-shelf assistant for two weeks and log where it breaks — that fortnight is the cheapest specification document you will ever produce, and it sometimes shows you do not need a build at all.

Sometimes, and the arithmetic is straightforward enough to check yourself. Take the process you have in mind, count how often it runs each month, multiply by what one instance costs in time, and compare against the system cost. If payback is longer than about 18 months, it is probably the wrong process to start with. For most small Australian businesses the honest range is $20,000 to $80,000 a year in recovered revenue and reclaimed time across two well-chosen processes — not the 10x figure in the advertising, and not nothing. Businesses that get the high end picked two things and did them properly.

A standard conversational AI agent can be designed, trained, and deployed within 2–4 weeks depending on complexity. More advanced integrations with CRM, calendar, and payment systems may take 4–6 weeks. We always provide a detailed timeline during the discovery phase.

Every agent we build includes configurable escalation logic. When the AI detects uncertainty or a situation outside its training, it seamlessly transfers to a human team member. We also conduct extensive edge-case testing before go-live and continuously monitor and improve agent performance post-deployment.

Not at all. We build intuitive interfaces and provide thorough training for your team. Our managed service option means we handle everything — you simply use the system. We also provide ongoing support and can make adjustments as your needs evolve.

Pricing varies based on the scope and complexity of each project. We offer project-based, retainer, managed service, and white-label engagement models. The best way to get accurate pricing is to book a free discovery call — we'll scope your needs and provide a tailored proposal within 48 hours.

No. Our agents use modern neural voices and are briefed on your brand's tone and the way your team speaks. The fairest test is to hear one: talk to our own agent on this site, then judge for yourself. We tune the voice, pacing and wording until it meets your standard.

Yes. Integration is most of the work. We connect to tools like Xero, MYOB, QuickBooks, SAP, Salesforce, HubSpot, Microsoft Teams and Slack. If a system has an API, we can connect to it; for systems without one, we build custom middleware.

Your work is done by our team in Australia — we use no offshore contractors and nothing is subcontracted. For systems we build for you, data residency is a design decision we make together, and where you need it to stay onshore we build it that way. Every solution is designed to the Australian Privacy Principles from the outset, and you retain full ownership of your data and intellectual property.

Five things. First, how fast it answers — above about 1.5 seconds and callers start talking over the greeting. Second, whether it admits it is software when asked directly; the ones that dodge this lose trust fast. Third, what happens when it cannot help: there should be a defined escalation rule that puts a human on the line, not a loop. Fourth, whether it can actually do things — book into your calendar, quote from your price list, create the job — rather than just take a message. Fifth, where your call data goes and how long it is kept. Ask any vendor for a recording of a real call before you sign anything.

Expect $500 to $1,500 per month for a working conversational agent, depending on call volume and how many systems it connects to. Ours is $500 a month with up to 1,000 call minutes included, plus a $1,500 setup fee that's waived on a 24-month agreement. Compare that against a full-time receptionist at roughly $5,000 to $6,000 a month once superannuation is in, or about $2,600 to $3,600 for part-time hours. The honest framing is that an agent does not replace a good receptionist — it covers the hours you do not staff, which for most businesses is where the missed revenue actually sits.

Three places, in order of how quickly they pay back. Missed calls after hours: if you take even one extra job a week that you would have lost to voicemail, an agent pays for itself. Repetitive admin: quoting, invoicing, data entry and document handling routinely consume a day a week per person, and most of it is rules-based rather than judgement. Software licensing: bespoke tooling can retire several overlapping subscriptions — one build we delivered saved a client $130,000 a year in licence fees alone. Be sceptical of anything promising savings from 'AI strategy' without naming a specific process.

A chatbot responds. An agent acts. A chatbot answers a question and stops; an agentic system can take a goal, break it into steps, use tools and systems to carry them out, check its own work, and escalate when it hits something it should not decide alone. In practice that means an agent can monitor your booking system overnight and flag anomalies by morning, run a procurement search and produce a shortlist, or reconcile records across systems that were never designed to talk to each other. The distinction that matters commercially is whether it does the work or just talks about it.

Three practical reasons rather than patriotic ones. Australian privacy law applies to the engagement, which matters for health, legal and financial data. You are in the same timezone, so a problem at 3pm is fixed at 3pm rather than overnight. And you can meet the people building it — the person who wrote your escalation rules is the person who answers when you want them changed. Ask any vendor directly whether development or support is subcontracted offshore; many resell work they do not do.

Both. Our engagement models are flexible, and most of what we build can start small — one phone agent, one automated process — and grow with your budget and your business.