What is AI prompting? Improve productivity in organisations across Australia and New Zealand.

What is AI prompting?

AI prompting is how people give clear, purposeful instructions to AI tools so they produce useful, accurate outputs for specific business tasks.

In simple terms: your input determines the output.

You do not need specialist knowledge. You simply need to explain:

What you want
Why you want it
Who the output is for
How the output should look or sound

Mastering this skill is one of the most practical steps towards improving clarity, accuracy and speed across everyday tasks.

Why AI prompting matters for organisations

Prompting is one of the most accessible ways to begin working with AI because:

Anyone can learn it
It does not require coding or technical skills
It is low cost to use and scale
It improves accuracy and quality of outputs
It reduces time spent on manual work
It supports consistent and responsible AI use

Prompting is often the most practical place to start for organisations that are getting started with their AI journey.

How teams use AI prompting at work

Finance Teams

Summarising financial reports
Creating first drafts of commentary for board packs
Explaining variances
Preparing supplier communications
Trend analysis

Across Australian and New Zealand businesses, finance teams are already using prompting to reduce time spent on manual reporting and commentary.

HR Teams

Drafting job descriptions
Drafting CV summaries against a job description for a recruiter to review
Writing internal communications
Developing interview questions
Preparing policy summaries

HR teams across the region are using prompting to move faster on recruitment and internal communications without sacrificing quality.

Marketing and Communications Teams

Writing content for campaigns
Drafting social media posts
Simplifying technical product information
Summarising customer reviews
Preparing event briefing notes

These are just some of the everyday tasks where prompting can save time and improve consistency across your organisation.

How to write effective prompts

To keep prompting simple and consistent across your teams, consider the ACE prompting framework — a straightforward structure that helps produce more relevant, accurate responses.

A - Audience

Who is the output for? What do they need to understand?

C - Context

What background or purpose does the AI need to know?

E - Expectations

What should the output look like? Include tone, structure and length.

See the difference: a vague prompt vs a structured one

Here is the same task, written two ways. The contrast shows what 'clear, structured prompts' actually means in practice.

1. Vague prompt

Write something for our team about the new $150 limit expenses policy.

Result: a generic, off-tone paragraph that probably needs a full rewrite before it is usable.

2. Structured prompt (using the ACE framework)

Audience:

All employees in our 80-person business.

Context:

We are introducing a new expenses policy on 1 July. The main change is a $150 limit on client lunches and a requirement to submit receipts within 14 days. Attached is the revised expense policy.

Expectations:

Draft a 150-word internal email from the Finance Manager. Friendly, professional tone. Lead with what is changing, then why, then what employees need to do. End with a single sentence on where to ask questions.

Practical prompting techniques anyone can use

These simple techniques include practical AI prompting examples that can help improve output quality straight away.

1. Provide an example

Show the AI a structure or style you want it to follow — particularly effective for anything tone-sensitive.

2. Refine incrementally

Review the result and adjust the prompt rather than starting again. Small iterations add up quickly.

3. Request multiple options

Ask for two or three variations so you can compare approaches and choose the best fit.

4. Ask the AI to clarify unclear expectations

For more complex pieces of work, end your prompt with:

"If anything is unclear, ask any questions you need before completing the task."

Three worked examples you can adapt

Below are three prompts that show the ACE framework applied to everyday business tasks.

Example 1: Drafting a job description

The task: you need a job description for a new hire and you want it to match how your existing job descriptions read — not a generic AI-flavoured version.

“I have attached two of our existing job descriptions. These show our house style: section order, tone of voice, and the way we describe the company.

Audience:

External candidates browsing job boards, often on mobile.

Context:

We need a job description for a Finance Manager. The role manages a team of three, owns the monthly management accounts, runs the annual budget process, and is the main finance contact for the senior leadership team. We are looking for a qualified accountant (CA, CPA, or equivalent) with two or three years of post-qualification experience.

Expectations:

Draft the new job description in the same structure and tone as the attached examples. Around 400 words. Easy to scan on mobile. Do not invent benefits or perks — leave that section as a placeholder for me to fill in.”

Why it works: showing the AI an example of your house style is one of the highest-leverage moves in prompting. The output sounds like your organisation, not generic AI copy.

Example 2: A mid-year promotion campaign

The task: you are running a mid-year promotion and want first drafts of every customer-facing asset in one go.

“We are running a mid-year promotion and I need first drafts of the campaign assets.

Audience:

Existing customers and warm prospects on our mailing list. Mix of business owners and managers across Australia and New Zealand.

Context:

The offer is 20% off all bookings made in July for services during August and September. The promotion runs from 1 July to 31 July. The discount code is MID25. Standard terms apply — not valid with other offers, subject to availability.

Expectations:

Review our website [insert website] to understand our tone of voice, and craft the following, in this order:

1. A short email to our customer list (around 150 words) announcing the offer.

2. Three social media posts — one announcing the offer, one highlighting a specific reason to book, one final reminder in the last week.

3. A 60-word website banner with a clear call to action.

4. A short SMS message (under 160 characters) for customers who have opted in to texts.

Tone: warm, professional, not pushy. Every asset must include the discount code MID25 and the deadline of 31 July.”

Why it works: the AI assistant can use web search to understand your tone of voice. One prompt produces a coherent set of assets all pointing at the same offer, with the tone, dates and offer code consistent across every channel.

Example 3: A monthly sales summary

The task: you have a sales report exported from your finance or sales system and need a short written summary for a management meeting.

“Attached is our raw sales data for last month, exported from our finance system.

Audience:

The management team at our monthly review. A mix of finance, operations and commercial — not all of them look at sales numbers regularly.

Context:

We have a monthly revenue target of $[X]. The same period last year came in at $[Y]. We launched a new product line in Q1 and want to understand how it is tracking against the EOFY push.

Expectations:

A short written summary (under 250 words) covering:

(1) total sales for the month vs target and vs the same month last year;

(2) the top three products by value;

(3) how the new product line is performing;

(4) one trend worth flagging;

(5) two or three recommended actions.

Plain English, no jargon. If any column is unclear, ask before drafting.”

Why it works: the AI knows what the file contains, who the output is for, what 'good' looks like (length, structure, tone), and what to do if something is ambiguous.

How prompting supports responsible AI use

Clear prompting helps Australian and New Zealand organisations adopt AI safely and consistently because it:

Encourages clarity and transparency
Reduces inaccurate or misleading outputs
Supports consistent behaviour across teams
Reinforces internal AI usage guidelines
Helps employees understand how to use AI responsibly

Prompting is both a productivity tool and a governance tool.

Where prompting fits in your AI journey

Our ‘Your AI Journey’ hub includes four practical stages that help Australian and New Zealand organisations build capability at the right pace:

Getting started
Ready to implement
Scaling AI
Leading the way

Prompting plays an essential role in the early stages, particularly Getting started and Ready to implement. It helps teams understand how to work effectively with AI tools, build confidence and reduce risk before moving into more advanced or integrated use cases.

To find out where your organisation currently sits, you can take the AI Readiness Quiz, a quick way to assess your maturity level and identify your next steps. For tailored support, practical tools and guidance matched to your stage, visit our ‘Your AI Journey’ hub, where you can explore resources to support AI adoption across your organisation.

Frequently Asked Questions

What is AI prompting in simple terms?

It means telling an AI tool what you want using natural language. Clear, well-structured instructions lead to better results.

How does AI prompting improve productivity in organisations?

It speeds up tasks such as writing, summarising and analysis, reducing manual work across finance, HR, operations and communications teams.

Do employees need technical skills to use AI prompting?

No. Anyone can learn prompting. It is based on clear communication, not coding or technical knowledge.

How do we ensure prompting is used safely in our organisation?

Set clear guidelines and treat AI tools the same as any other system that handles your data. Under Australia's Privacy Act, do not paste personal data, customer information or commercially sensitive content into consumer or free-tier AI tools, where inputs may be used to train the underlying model. For this you should use a business or enterprise tier (for example Microsoft 365 Copilot, Claude for Enterprise, ChatGPT Business or equivalent) where the provider contractually commits not to train on your data. Always review outputs before using them, and use structured prompts so colleagues can see how a result was produced.

How detailed should my prompts be?

You do not need to write long prompts, but detail matters. Include enough context for the AI to understand the task, the audience, and what good output looks like. Most prompts benefit from two to four clear sentences.

Can prompting help reduce workload during busy periods?

Yes. Prompting can help create first drafts, summarise information and speed up repetitive communication — freeing up time for teams to focus on higher-value work.

How can my organisation build prompting skills across teams?

Start by sharing simple frameworks like ACE (Audience, Context, Expectations), offer examples tailored to real-world workflows, and encourage teams to practise using prompts for everyday tasks. Our ‘Your AI Journey’ hub provides practical guidance and tools matched to your AI maturity stage.