AI DEVELOPMENT & AUTOMATION

Practical AI solutions for Australian businesses.

Reduce repetitive admin, help customers get answers and build useful AI into your existing software.

Zimozi helps Australian startups and SMEs turn a clear business need into an AI solution their team can use—from an initial assessment to development, integration and ongoing support.

Australian company · Clear AUD quotes · Australian business hours

What could AI help your business do?

Start with the work that slows your team down. We help you assess where AI could be useful, what information it needs and how the results will be checked.

AI Agent Development

Build AI agents that help your team carry out defined tasks, such as preparing an enquiry summary, gathering information or drafting a follow-up. Set clear permissions and approval steps around the actions they can take.

AI Workflow Automation

Connect the steps between an incoming request and a completed task. Classify enquiries, prepare drafts, route work and update connected systems, with review steps where your team needs control.

AI Chatbot Development

Help customers find answers from your approved business information. Guide enquiries, collect relevant details and hand the conversation to your team when a person is needed.

AI Voice Agents

Give routine phone enquiries a clear next step. Capture caller details, answer approved questions and support appointment requests, with defined handover rules for your staff.

AI Knowledge Search

Make policies, product information and internal guides easier to find. Help staff retrieve relevant answers with source references and access controls suited to their role.

AI Document Processing

Extract requested information from invoices, forms and other business documents. Flag missing fields and prepare structured results for review before they move into your workflow.

AI Application Development

Build AI into a new product or extend your existing web, mobile or SaaS application. Bring together the interface, business logic, data connections and monitoring needed for everyday use.

AI Consulting

Work out where AI fits before committing to a build. Assess your processes, available data and integration needs, then define a practical scope and success measures for a pilot.

Start with a real business task.

A useful first AI project has clear inputs, a defined owner and a result your team can assess.

Turn enquiries into organised follow-ups

A service business receives enquiries through its website. AI can identify the request type, summarise the details and prepare a response for staff to review.

Reduce document entry

An operations team receives invoices or application forms. AI can extract selected fields, highlight missing information and prepare the results for checking.

Help staff find the right information

A growing business has procedures spread across documents. An internal assistant can retrieve relevant guidance and show the source so staff can check the answer.

Add AI to your product

A startup wants customers to search a specialist knowledge base. An AI feature can turn questions into relevant answers grounded in the content available to that user.

An Australian business partner for your AI project.

A local company to work with

Work with Zimozi Solutions Pty Ltd, based in NSW, with a clear point of contact throughout your project.

Scope and pricing in AUD

Understand what is included, what needs further assessment and how ongoing model, hosting and support costs will be handled.

Collaboration during your working day

Plan discussions, progress updates and support around Australian business hours.

Ownership and a clear handover

Your custom code and designs are yours. We explain any third-party software, model services and licence terms included in the solution.

From a business problem to a working solution.

STEP 01

Discover

Understand the task, the people involved and the result you want to improve. Agree how success will be measured.

STEP 02

Assess

Review representative data, existing systems, access requirements and the situations that need human judgement.

STEP 03

Build and test

Develop a focused pilot. Test it on realistic examples, review incorrect outputs and assess quality, response time and running costs.

STEP 04

Integrate and launch

Connect the solution to the agreed workflow, define review and handover steps, and prepare your team to use it.

STEP 05

Monitor and improve

Review performance, usage and costs after launch. Use the evidence to improve the solution and decide where it should expand.

Keep your team in control.

AI can produce incomplete or incorrect answers. The application needs clear boundaries around the information it can access and the actions it can take.

These decisions form part of the project scope, so your team understands how the solution will operate.

We work with you to define:

  • Approved information sources and user access.
  • Source references where the workflow requires them.
  • Human review before sensitive actions.
  • Data flows, retention needs and hosting options.
  • Testing, monitoring and escalation steps.

Explore our AI work.

FabriceAI application interface
AI KNOWLEDGE BASE

FabriceAI

An AI web application that turns Fabrice Grinda’s writing and talks into an interactive knowledge base.

ResoX AIDA dispute resolution platform
LEGALTECH & AI

ResoX AIDA

An AI-powered legal assistance platform designed to help people navigate questions and connect with lawyers across languages.

Questions about building AI for your business.

Start with a repeated task that has accessible information and clear review criteria. Document intake, enquiry triage and internal knowledge search are examples worth assessing. We help you compare the likely value, complexity and risks before choosing a pilot.
Often, yes. Integration depends on the APIs, permissions and data available in your systems. We assess these before confirming the scope.
Not for every project. A knowledge assistant may use your existing approved documents, while a custom predictive model may need a larger historical dataset. The task determines what information is required.
Cost depends on the workflow, integrations, data preparation and testing required. After discovery, we provide an AUD proposal covering the agreed scope and explain expected third-party running costs.
We agree what information the solution needs, where it flows and which providers are involved. Hosting, access, retention and provider data-use settings are reviewed as part of the solution design.
We test representative examples and define how uncertain or unsupported responses should be handled. Depending on the task, this may include source references, review queues or escalation to a person.
You own the custom code and designs produced for your project. Any third-party platforms, libraries and model services remain subject to their respective licence and service terms.
Yes. We can agree ongoing maintenance, monitoring and improvements, or arrange a documented handover to your team.

What would you like your team to spend less time on?

Tell us about a repetitive task, a customer service challenge or an AI feature you want to build. We’ll help you work out a practical starting point.

Tell us about your AI project.

What does the task involve today, which systems do you use and what would a better result look like?