Skip to content

Custom AI development

Used well, Artificial Intelligence (AI) can reshape how a business runs. Whether you want to improve customer experience, cut manual work, or get more out of your data, our custom AI development services are built around your specific problem rather than a generic platform.

Osher Digital are expert AI Consultants Australia

Why choose us

Why choose us for custom AI development?

Expertise

Our team comprises seasoned AI developers and data scientists with experience across several industries. We bring deep technical knowledge and practical judgement to every project.

Collaborative

We work closely with you throughout the build. Your input and feedback shape the solution and make sure the final product fits how your team actually works.

Current, supported tooling

We build on current, well-supported AI and machine learning tools rather than chasing hype. That keeps your solution maintainable as the field moves and avoids locking you into a dead end.

Track record

We have delivered AI projects across healthcare, recruitment, finance, and professional services, from document processing to prediction and internal assistants. Real systems in production, not demos.

Who this is for

Custom AI is worth it when the off-the-shelf tool has already failed you

Most businesses should try the generic tool first. ChatGPT, a vendor's built-in AI feature, an off-the-shelf assistant. They are cheap and they are often enough. We build custom when one of these is true.

The knowledge is yours and it is not public

The answer lives in your contracts, your job history, your internal standards. A general model has never seen any of it, and pasting it into a chat window one document at a time is not a system.

The output has to be right, not plausible

A summary that reads well but misstates a clause is worse than no summary. When accuracy is checkable and matters, the build needs grounding, citations and a human checkpoint. Generic tools give you none of those.

It has to run inside your systems

A person copying answers out of a chat window is still doing the work. Value arrives when the AI reads from and writes to the systems your team already uses, without a human in the middle.

The data cannot leave

Health records, legal files, anything under a client confidentiality clause. We have built self-hosted systems where the model runs on infrastructure you control and nothing is sent to a third party.

What we build

The four kinds of custom AI we are asked for most

Answering questions over your own documents

A system that reads your document set and answers questions about it with citations back to the source. The technique is retrieval-augmented generation, and the citation is the point: a reader can check the answer rather than trust it.

Classification and extraction

Reading an incoming document and deciding what it is, then pulling the fields out of it. Invoices, referrals, applications, claims. This is the most reliable category of AI work and usually the fastest to pay for itself.

Drafting with your voice and your rules

Generating a first draft that follows your templates and your constraints, for a person to review and send. Reports, responses, summaries. The human stays in the loop because the human is accountable for what goes out.

Agents that carry a task through

Multi-step work where the system decides what to do next, calls the systems it needs, and stops to ask when it is unsure. Our AI agent development page covers this in detail.

Honest advice

When we would tell you not to build custom AI

A generic tool would do

If a subscription solves it for $30 a month, buy the subscription. We would rather tell you that in the first call than take the project and watch you work out later that you overpaid.

There is no way to tell if it is wrong

If nobody can check the output and being wrong has consequences, AI is the wrong tool. We look for a checkable definition of correct before we quote. Where there is not one, we say so.

The data is not there yet

AI trained on your data needs your data to exist, be findable, and be reasonably consistent. If it is spread across three drives and a filing cabinet, that is the first project, and it is not an AI project.

Systems we build against

Where custom AI usually plugs in

A custom build is only useful if it reaches the systems holding the work. These are the ones we connect to most often.

How it works

How a custom AI build runs, start to finish

Our approach to custom AI development moves you to more efficient operations with results you can measure. Here’s how we work with you to scope, build, and run custom AI systems.

Step 1

Discovery & data review

We map the problem, the data you hold, and whether a custom build genuinely beats an off-the-shelf model. If a simpler tool will do the job, we say so.

Step 2

Solution design

We design the approach: model choice, data pipeline, evaluation criteria, and how the system fits the tools you already run.

Step 3

Build & evaluate

We build the solution and test it against real examples, measuring accuracy and failure modes before anything goes near production.

Step 4

Deploy & improve

We deploy with monitoring and guardrails, then refine the system as your data, your users, and your needs change.

Improvements

Results you can expect

Every number below comes from a real engagement. Each card links to the case study behind it.

How we measure: hours saved multiplied by loaded labour cost, agreed with the client after go-live.

We were running quoting, scheduling and invoicing across multiple separate systems and various spreadsheets, and it had started to cost us time and money in double-handling. Osher Digital built us an AI-first custom ERP portal that now runs the whole job lifecycle in one place, Matthew was easy to deal with and stayed involved throughout the project. Recommend them.

Robert Lowe

CEO at ACT Property Inspections

Yue Li
We’ve worked a few AI agent and business automation projects, and it’s always been a smooth, productive experience. They’ve always brought a solid mix of technical expertise and creative problem-solving to the table.

Yue Li

AI Automation Engineer

Nicola Hunter
The team helped us automate our lead acquisition and sales process so we know what works and what doesn’t.

Nicola Hunter

Senior VP at Monarch Medical Technologies

Lawrence Mitchell
Osher Digital has really helped me automate the parts of my business that were critical to automate. My copy and paste days have been reduced by around 80%.

Lawrence Mitchell

Consulting Arborist at LSM Tree Advice

Daniel Swanton
Great operators, efficient, intelligent and understood the technical requirements. Great to find a partner like this that I’ll continue to use in the future!

Daniel Swanton

Director at emd:digital

I contacted Osher Digital as a web developer with minimal experience in AI to explore the use of the Llama LLM in supporting user safety online. Matthew was polite, showed understanding of the situation and provided courtesy advice to improve the model which was much appreciated. Will deal with Osher Digital again.

Terry Butler

Web Developer

Highly recommended business automation and AI agent development experts

Sarah Bryden

Case studies

Custom AI we have built and shipped

Self-Hosted AI RAG Agent for Internal Knowledge

A building inspection company engaged Osher Digital to develop a self-hosted AI retrieval-augmented generation (RAG) question-and-answer agent. The agent, accessible via full-screen interface or chat bubble on the company intranet, handles staff queries using the internal knowledge base, government legislation, and ISO standards.

AI Medical Document Classification for a Healthcare Practice

Statera Health, a medical practice in Melbourne, eliminated hours of daily manual document sorting and filing by implementing automated AI document classification. Osher Digital configured a solution that processes incoming medical documents, saving the practice hours daily on document handling, achieves consistent and accurate file naming, and has removed misfiled documents and related rework.

AI Application Processing for an Online Talent Marketplace

A major online talent marketplace in Brisbane reduced the time required to evaluate and draft candidate profiles from over 30 minutes to under 30 seconds by implementing an AI agent that automatically parses resumes and LinkedIn profiles, generates complete online profiles, extracts skills and industry tags, and notifies the internal team for final review.

FAQs

Frequently asked questions

Common questions about custom AI development and how we approach it.

Custom AI development means building an AI system around your specific problem and data, rather than buying a generic tool and hoping it fits. That might be a document processing pipeline, a prediction model, an internal assistant over your own knowledge, or an agent that carries out a multi-step task.

Get in touch

Tell us what you want the AI to do

General Enquiry

Name(Required)

Australian-hostedPrivacy Act compliantNDAs standard

Ready to scope a custom AI build?

Book a free 15-minute call. Bring the problem; we'll tell you honestly whether a custom build beats an off-the-shelf tool.

Australian-hostedPrivacy Act compliantNDAs standard