AI agent development · Sydney & Melbourne: AI agents built for production, not the demo
Rocket Lab designs and builds AI agents for Australian businesses: tested before release, with a person approving the steps that need judgement, running in your own cloud by default.
Teams we've built web and mobile products for
Where do you want to start?
Customer-facing agent
Book a scoping call: Customer-facing agentAnswers and acts for your customers in chat, in your app or by voice, and hands over to a person when it should.
First back-office agent
Book a scoping call: First back-office agentTakes one repetitive process off your team: inbox triage, recurring reports, lead routing, CRM updates.
Fix an existing agent
Book a scoping call: Fix an existing agentWorks in the demo but not with real customers? We test it, fix it and get it ready for production.
Code written with AI tools? See AI Code Review for Teams or the App Rescue Report.
Every agent we build comes with
Tests before every release
Agreed cases with pass marks, run before every change.
Limits you set
Only the data and actions it needs.
A person where it matters
Judgement steps wait for approval.
You can see what it did
Every run logged and traceable.
Your cloud, your code
Runs in your account by default. The code is yours.
Our engineers build with AI agents daily, and a person reviews what they ship.
In our clients' words
Founders and long-term partners on what it is like to build with us.
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We have a long standing partnership with Rocket Lab who provide Webjet with critical strategic and development services for our front-end websites.
We partnered with Rocket Lab to reimagine our digital experiences, and they delivered with strategic clarity and engineering excellence.
Over the years Rocket Lab have seamlessly integrated with James Hardie in delivering a number of key projects for the business that to this day continue to be critical to the success and functionality of our operations.
When it comes to out-sourcing and partnering with a technology vendor, Rocket Lab is top of mind. Julien, Jen and the team are incredibly detailed and thorough whenever they’re engaged in a project. And, they do so at velocity.
Rocket Lab’s ability to help define and execute our business through software in a timely fashion, has been a breath of fresh air and a pleasure to work with.
The guys worked together very well with our internal resources and blended into our process seamlessly. We were very impressed with the level of skill from each of the engineers…
Our business has hundreds of suppliers and thousands of customers so we needed a highly robust structure and that’s exactly what was delivered by Julien, Jen and the RL development team.
Julien and his team are a real pleasure to work with. They are well rounded with a solid understanding of design/user experience best practices as well as diving deep under the hood with solid web and app development capabilities.
Their team delivered a site that met our expectations, and they’ve continued to assist us in refining and enhancing it over time. They are dedicated, creative, and technically skilled, helping to ensure our website looks good and functions smoothly.
AI agent development FAQs
What is an AI agent?
An AI agent is software that uses a language model to work towards a goal in steps. It reads a request, decides what to do, uses the tools and data it has been given (a CRM, a knowledge base, a booking system), and completes the task or hands it to a person. A chatbot answers questions; an agent also acts.
What is the difference between an AI agent and a chatbot?
A chatbot answers questions. An AI agent also acts: it uses tools such as a CRM or a booking system to complete a task, and hands over to a person when it should. A good first agent does one narrow job well.
How much does AI agent development cost?
We do not publish prices, because the cost depends on scope, the systems involved and what already exists. Model usage is billed to you directly.
Where does our data go, and can the agent run in our own cloud?
By default the agent runs in your own cloud account, under your access controls, and the code is yours. It reaches only the data it needs. Prompts go to the model you choose, through your cloud's AI service or the provider directly, so that choice is part of scoping. Your privacy or legal team should confirm which obligations apply.
How do you stop an agent from giving wrong answers or taking the wrong action?
We test it against cases you agree before every release, limit it to the data and actions it needs, send judgement steps to a person, and log every run so a wrong answer can be traced and fixed. No agent is right every time; the aim is to catch mistakes early.
Will an AI agent replace our staff?
That is not what we build them for. A good first agent takes a repetitive, well-bounded job off your team, and a person still approves the steps that need judgement.
Tell us what you want an agent to do
Book a scoping call. We'll tell you which way in fits, or whether an agent is the right answer at all.
