TLDR

An Eleticle free session is a practical first conversation for Australian businesses exploring private AI workflows. The aim is not to sell a giant transformation program. It is to identify whether one real workflow could be safely improved with AI-assisted drafting, retrieval, summarisation, extraction, triage, or follow-up.

By the end, you should have a clearer view of:

Which workflow is worth exploring first
What data the workflow uses
What should stay outside AI
Where human review belongs
Whether a pilot is practical
What a sensible next step would look like

Who the session is for

The free session is designed for business owners, practice managers, operations managers, admin leads, founders, and team leaders who can point to a repeated workflow.

You do not need technical knowledge. You do need a practical problem, such as:

Staff keep searching SOPs, policies, manuals, or folders
Admin teams copy fields from PDFs, forms, reports, or emails
Enquiries and follow-ups are slow or inconsistent
Internal knowledge is scattered
Staff rewrite the same replies or notes
Document review queues are growing
The team wants to use AI but is unsure what is safe

What to send before the session

Use the contact page to send a short message. Please do not include confidential or highly sensitive information in the website form.

Helpful details include:

The workflow you want to discuss
The team or role affected
The type of documents or messages involved
What currently takes too long
What output staff need at the end
Any obvious privacy or security concerns

Do not send customer records, patient information, staff records, passwords, API keys, contracts, or sensitive documents through the initial form. If sensitive details are needed later, Eleticle can discuss an appropriate channel and scope.

The session structure

1. Workflow snapshot

The first step is to understand the actual work. This is usually more useful than starting with model names or AI products.

Questions may include:

What triggers the workflow?
What does the team receive?
What does the team need to produce?
Who reviews or approves the output?
Where does the work get stuck?
How often does it happen?
What systems or folders are involved?

The goal is to find the repeatable shape of the work.

2. Data boundary check

Next, the session looks at what information the workflow uses.

This may include:

Public information
Internal policies or SOPs
Customer enquiries
Staff information
Financial details
Health or sensitive information
Supplier documents
Contracts
Operational reports

The OAIC's guidance on privacy and commercially available AI products is clear that privacy obligations can apply to both AI inputs and AI outputs involving personal information. So the session treats data boundaries as part of the workflow design, not as an afterthought.

3. AI fit assessment

Not every workflow needs AI. Some need a better form, a clearer SOP, a simpler spreadsheet, or a normal automation.

AI may be a good fit if the workflow involves:

Summarising text
Finding answers in documents
Extracting fields
Classifying requests
Drafting replies
Checking completeness
Preparing handover notes
Flagging exceptions

AI may be a poor first fit if the task requires:

Final decisions about people
High-stakes judgement without review
Sensitive information in unmanaged tools
Real-time system control
Source material that is outdated or contradictory
Outputs the team cannot verify

4. Human review design

A practical AI workflow should define where people stay in control.

The session may identify:

Who reviews the draft
Which outputs can be used internally
Which outputs need approval before being sent
Which cases should be escalated
What the assistant should say when uncertain
What records should be kept

The National AI Centre's essential AI practices place human control, testing, monitoring, accountability, and risk management at the centre of responsible AI adoption. These are very practical ideas for small workflows.

5. Next-step options

If the workflow looks suitable, the session can outline a next step. That may be:

A lightweight workflow map
A document readiness review
A small prototype
A private knowledge assistant pilot
A document extraction proof of concept
An enquiry triage and reply-drafting pilot
A decision not to use AI yet

Sometimes the best outcome is clarity that the workflow is not ready. That can save time and money.

What the session is not

The free session is not:

Legal advice
Privacy compliance advice
Cyber security assurance
A promise that AI will fit every workflow
A request for confidential documents through the website form
A commitment to deploy a system immediately
A generic AI training webinar

It is a practical discovery conversation.

What to prepare if you want a useful conversation

Bring one workflow, not ten. A focused example makes the session much more useful.

Good preparation:

One repeated workflow
A rough before-and-after description
A de-identified sample input if safe to share later
A blank template or public example
The current source material, if not sensitive
The approval step
The team member who knows what good output looks like

If you cannot share examples yet, describe the workflow in general terms. That is enough for an initial fit check.

Example session outcomes

Internal knowledge assistant

The workflow is staff asking repeat SOP questions. The next step may be to identify approved source documents, remove stale files, define who can access the assistant, and create test questions.

Document processing

The workflow is manual copying from forms or PDFs. The next step may be to map fields, define confidence checks, create an exception queue, and decide what staff must approve.

Enquiry follow-up

The workflow is slow response to website enquiries. The next step may be to classify enquiry types, define approved reply templates, draft CRM notes, and keep staff approval before sending.

Not ready yet

The workflow depends on unclear source material, high-risk decisions, or unmanaged sensitive information. The next step may be cleanup, policy work, or a narrower pilot.

How the session handles privacy and security

The session starts from a conservative position:

Do not put sensitive information in the contact form
Do not paste private business data into public AI tools
Minimise personal information
Keep human review for important outputs
Use approved source material
Define what the assistant can and cannot do
Test before relying on the workflow

The ASD's ACSC guidance on engaging with AI encourages organisations to understand AI limits, train staff, validate outputs, and consider privacy and security obligations. Those ideas shape the way Eleticle scopes early workflows.

The best first question

If you are unsure whether to request a session, ask:

Do we have one repeated workflow where staff spend time reading, searching, copying, drafting, checking, or following up?

If yes, the session can help decide whether AI should assist it, and what boundaries would make that safe enough to explore.

Requesting a session

If you have one repeated workflow worth exploring, you can request a free session through the contact page. If you are not sure which workflow to bring, How to Identify Your First AI Workflow can help you choose.

How a Free Session Works