AI consulting for Australian businesses

AI consulting that starts with
your business problem

Amulet helps Australian businesses assess a workflow and decide what to do next. Consider existing software, then agree what work is needed before committing to implementation.

Bring one difficult workflow and a non-confidential summary.

Diagnostic first. Implementation by separate agreement.

Fit
Start with one workflow
Describe the problem before choosing technology
Scope
Agree what the workflow may do
Inputs, outputs, exceptions and human responsibilities
Test
Decide from evidence
Set acceptance criteria before expanding the work
A useful starting point

We recommend starting with one recurring task. Name its owner and record how it works today. Use that baseline to decide whether a process change, existing software or a scoped build is worth testing.

Workflows we can assess and scope

These are examples of work to assess, not packaged products or promises of prebuilt integrations.

Commit in stages

Start with the AI Business BEEP

Use the paid diagnostic to decide what to do next. Any implementation is a separate commitment.

Read about the AI Business BEEP →

01

Problem-fit conversation

Bring one recurring problem and a short, non-confidential summary. The first conversation tests whether a deeper review would be useful.

02

Paid diagnostic

The AI Business BEEP is a paid diagnostic. Agree its scope before work begins: the workflow, systems, feasibility, controls and recommended first step.

03

Separate implementation decision

Implementation is a separate decision. You can proceed with a defined scope, change the process, build internally, choose another partner or decide not to build.

04

Scoped support

Where useful, ongoing support can cover adoption, evaluation and improvement within an agreed operating scope.

Request a problem-fit call

The first conversation tests fit; it does not commit you to implementation.

Questions to ask before a build

Could existing software do the job?

Check the features and rules in software you already use before commissioning a custom AI workflow.

What gap would a build actually fill?

Who handles an exception?

Name the person who reviews missing inputs, conflicting evidence or an output that should not proceed.

What stops, and who decides what happens next?

How will you decide whether it works?

Agree representative test cases and acceptance criteria. Include review effort and recovery, rather than measuring speed alone.

What evidence would support a go or no-go decision?

Scope the work with Amulet

Ask for evidence about the proposed systems, security controls and data handling.

Data and hosting requirements

Identify what information the workflow may use, where it may be processed and who may access it. Hosting and data residency depend on the agreed implementation and validation.

Confirm the proposed data flow

Security requirements

Bring your security requirements into scoping. Agree and validate controls for the proposed systems; a service description is not evidence that those controls are in place.

Review implementation-specific evidence

Human responsibilities

Define who approves outputs, resolves exceptions and owns the workflow after launch. Agree the review and recovery path before increasing its scope.

Keep approval and ownership explicit

Ask about your workflow

Send a short, non-sensitive summary, or request a problem-fit call.

Leave confidential names, files and data out of your enquiry.

This enquiry does not book or purchase a diagnostic or implementation.