AI automation, wherever you operate

AI automation. Built for your business.

We design, build and support AI workflows that connect your systems and keep people in control.

Example operations workspace connecting request intake, extraction, business rules and human approval.
Connected systemsHuman approvalsOngoing support

Make everyday work flow.

Practical AI automation, built around your team and the tools you use.

  • Example workflow editor connecting an inbox, request classification, human approval and a CRM update.
    Illustrative application concept
  • Example document review workspace showing a sample invoice beside extracted fields for approval.
    Illustrative application concept
  • Example knowledge assistant answering a purchasing question with citations to internal policies.
    Illustrative application concept

Already using AI? We can help you test it or put it to work.

From one workflow to everyday impact.

  1. 01

    Map the workflow

    Find the manual work worth automating and check what your existing software can do.

  2. 02

    Build and test

    Connect the systems, define approval steps and test against your own examples.

  3. 03

    Run and improve

    Support your team, monitor changes and keep the workflow useful as your business evolves.

How we work

See the possibilities.

Illustrative examples

Less manual handling. Clearer decisions.

Explore document extraction, answers with sources, and drafts that wait for approval.

Explore the demos
Example workflow editor connecting an inbox, request classification, human approval and a CRM update.
Illustrative application concept

Built around your industry.

Workflows shaped by your systems, documents and operating requirements.

Ideas for putting AI to work.

All insights

A few practical questions.

What does Techsider do?
Techsider is an AI automation company headquartered in Sydney, Australia. It designs, builds and supports AI workflow automation, document processing and internal knowledge assistants that keep people in control, for organisations in Australia and internationally, and independently evaluates AI bought or built elsewhere. Work starts with one manual process, tested on your own examples before anything is built.
Which industries do you build for?
Nine: government, financial services, accounting, education, manufacturing, real estate, healthcare, resources and energy, and legal and professional services. Each industry page sets out the rules that industry works under, the systems it already runs and where a first engagement starts.
Why should we trust you?
Check our published evaluation method and illustrative demos. We never issue an independent evaluation of a system we built, configured or advised on for the same client. Managed systems include an exit pack: code, data, configuration and runbook.
Where does our data go?
What we build for you runs in the cloud region you choose, in your own Microsoft or AWS account; systems we manage for you run in an Australian region. Each launch package's region note records where model inference actually runs. Our team reaches systems remotely from Sydney, under the data-transfer terms in your contract. Inside a platform you already license, the vendor sets where processing happens: we show you its published processing location, with the source, or tell you it isn't published.
How do we start?
Start with a 30-minute Fit Call on one manual process. We identify a suitable audit, trial or evaluation before a build.
What if our software's AI already does the job?
Then we'll say so, and you won't need us for it. AI Switch-On configures the AI features you already own, and we don't resell licences.
Who owns what you build?
You do. Your code, prompts, evaluation tests and index live in your own repository, whether your team runs the system or we do.
Are your demos live AI models?
The replays run in your browser using public or synthetic documents. They do not call a model. Scores and timings are illustrative; document sources and licences are listed with each example.

What could your team stop doing manually?

Let's talk