15 Best AI Tools for Business in Australia (2026)

What is a business AI tool?

A business AI tool is software that uses a large language model or other machine learning model to draft, summarise, classify, search or act on information inside a business workflow, sold under commercial terms that give the organisation control over accounts, data and access. The same underlying model can sit behind a free consumer app and a paid business plan. What changes between them is the contract, the admin console and the handling of what your staff type in.

That distinction matters more than any feature list. A consumer app is licensed to an individual. A business plan is licensed to an organisation, which can add and remove users, see usage and, in most cases, rely on a written commitment about whether prompts and files are used to train the vendor’s models. Retention controls vary by vendor and often need the enterprise tier: Fireflies’ pricing page (September 2026), for example, lists custom data retention and private storage only on Enterprise. When an employee leaves, the organisation keeps the workspace. When a regulator or client asks where customer information went, the organisation has an answer.

Picking business AI tools from a consumer app chart works like picking accounting software from a personal budgeting app: both categorise transactions, but only one gives you user roles, audit trails and records your accountant and the ATO can rely on. The business version is defined by its controls, not its features. The same logic applies to every category in this guide. An AI meeting notetaker, an AI writing assistant and an AI research tool can all be excellent at their job and still be the wrong choice for a business if the tier you are on lets the vendor reuse client conversations or leaves no way to remove a former employee’s access.

In practice, business AI tools fall into five working groups:

• General assistants that answer questions, draft documents and analyse files for any role.
• Assistants embedded in productivity suites that work inside email, documents, spreadsheets and meetings the business already uses.
• Specialist tools for a single job: design, meeting notes, writing quality, research or bookkeeping.
• Automation platforms that connect apps and run multi-step workflows, now with AI steps and agents.
• AI features inside systems of record such as accounting, CRM and customer service platforms, where the AI works on data the business already holds.

A useful rule of thumb is that the closer the tool sits to your records (ledger, CRM, help desk, document store), the more its data terms and permission model matter, and the less the raw quality of the model decides the outcome.

How Australian businesses are using AI in 2026

The Australian Bureau of Statistics (Characteristics of Australian Business, 2024 to 25, released 25 June 2026) reported that around 12% of Australian businesses used AI in their workplace in 2024 to 25. Use rose sharply with size: 35% of large businesses and 22% of medium businesses, against roughly 11% of small and micro businesses. By industry, information, media and telecommunications led at 38%, with professional, scientific and technical services and financial and insurance services each at 24%.

The National AI Centre’s AI adoption insights for December 2025 to February 2026 (published 7 May 2026), drawn from the Department of Industry, Science and Resources’ AI Adoption Tracker, found that 43% of Australian SMEs reported some level of AI adoption over the quarter. Among adopters, content generation and data analytics were the top uses (54% each), followed by cybersecurity and threat detection (48%).

The gap between 12% and 43% is mostly definitional. The ABS counts businesses reporting AI use in the workplace across the whole business population, including micro businesses; the tracker surveys SMEs about any level of adoption, which includes an owner using a chatbot for a few emails a week. Both numbers point the same way: AI use is common in Australian business, and much of it is informal.

That informality is the risk this guide is built around. The same National AI Centre release found that around 65% of non-adopting SMEs cited distrust in AI decision-making or a strong preference for human control, and 19% said they did not know how to use AI. When a business has not chosen tools on purpose, staff tend to choose for it, usually on free consumer tiers. The sections below explain why that default is the wrong starting point and what to check instead.

Consumer tiers versus business tiers: what changes for your data

The table below summarises what to check at each tier. It describes common patterns across the market as of September 2026; the reviews that follow cite each vendor’s own terms, because defaults differ vendor by vendor and change over time.

Three points follow from the table.

First, the training default is the single most consequential setting. Several major vendors reviewed below state in their own documentation that consumer accounts can be used to improve models unless the user opts out, while business accounts are excluded by default. A staff member pasting a client contract into a personal account and the same person pasting it into a business workspace can produce very different outcomes, even though the screen looks identical.

Second, the business tier is usually the minimum, not the premium. The per-seat difference between a paid individual plan and a business plan is often small. What the business tier buys is the ability to administer the tool: add and remove people, see who used what, and rely on organisational terms. For most firms that is the cheapest control available.

Third, enterprise tiers earn their price when you need contractual commitments. Data residency in Australia, custom retention periods, audit logs and single sign-on tend to arrive at the enterprise tier. If your contracts with clients, a head office or a regulator require any of these, price the enterprise tier from the start rather than discovering the gap after rollout.

The Australian rules that shape the choice

The Privacy Act 1988 and the Australian Privacy Principles (APPs). The Office of the Australian Information Commissioner’s guidance on privacy and the use of commercially available AI products (21 October 2024, updated 17 January 2025) states that privacy obligations apply to any personal information input into an AI system and to AI outputs that contain personal information. It notes that APP 6 requires entities to use or disclose personal information only for the primary purpose for which it was collected, unless an exception applies, and that generating or inferring personal information with AI is a collection that must comply with APP 3. As a matter of best practice, the OAIC recommends that organisations do not enter personal information, and particularly sensitive information, into publicly available generative AI tools. It also expects businesses to conduct due diligence to ensure a commercial product is suitable for its intended uses.

The small business exemption, and its limits. The OAIC’s small business guidance explains that a business with an annual turnover of $3 million or less is generally exempt from the Privacy Act. The exemption does not apply to several groups, including health service providers, businesses that trade in personal information, Commonwealth contracted service providers, credit reporting bodies, reporting entities under the Anti-Money Laundering and Counter-Terrorism Financing Act, related entities of larger covered businesses and businesses that have opted in. Many small firms also accept privacy obligations through client contracts, so the exemption is a narrow basis for choosing a consumer tier.

Automated decision-making transparency from 10 December 2026. Under new APP 1.7, inserted by Schedule 1, Part 15 of the Privacy and Other Legislation Amendment Act 2024, from 10 December 2026 an APP entity’s privacy policy must describe its automated decisions where a computer program makes a decision, or does something substantially and directly related to making it, that can reasonably be expected to significantly affect an individual’s rights or interests, and personal information about that individual is used in the program. The policy must set out the kinds of personal information used and the kinds of decisions made. The OAIC’s consultation on guidance for transparency in automated decision-making (published 18 May 2026) is developing guidance on applying the obligation. Separately from the legal test, and as a matter of good practice, if an AI tool scores leads, triages claims or flags customers, it is worth mapping now so you can judge whether the threshold is met.

Record-keeping. The Australian Taxation Office’s overview of record-keeping rules for business states that most records must be kept for 5 years, and that digital records must be identifiable, labelled or indexed. The ATO rules cover records relevant to your tax, super and registration obligations, so invoices, receipts and reconciliations that AI tools generate or capture generally fall within them. Meeting summaries, working notes and other AI outputs need assessing on their content: some are tax-relevant records, while others fall under corporate, employment, contractual or sector retention rules, or none at all. Retention and export controls are not an afterthought.

Voluntary guidance. The Department of Industry, Science and Resources’ Guidance for AI Adoption (21 October 2025) evolves the earlier Voluntary AI Safety Standard, condensing its 10 guardrails into 6 essential practices, and comes in two versions: Guidance for AI adoption: foundations for organisations starting out or using AI in low-risk ways, and Guidance for AI adoption: implementation guidance for organisations with higher-risk use or more mature governance. It is voluntary unless a contract requires it, but it gives a small business a ready checklist for accountability, risk and human oversight that maps well onto tool selection.

What to look for in an AI tool for business

1. Business data terms in writing

Look for a plain statement, in the vendor’s own terms or help centre, that business content is not used to train models by default, plus the retention period for prompts and files. If the statement only appears in marketing copy, ask for the contractual version. This criterion aligns directly with the OAIC’s due diligence expectation. Three questions cover most of it: is business content excluded from training by default, how long are prompts, files and outputs kept, and which subprocessors (including model providers) see the data and under what retention terms? Keep the answers, with dates, in a simple register. When terms change, which they do several times a year across this market, the register tells you which tools to re-check.

2. Admin controls and user lifecycle

An admin console that lets you add and remove users, assign roles and see usage is the difference between a tool the business owns and a tool staff happen to use. Check what happens to a departing employee’s chats, files and connected accounts. In a consumer account, that history leaves with the person. In a business workspace, an admin can remove access on the last day and keep or delete the content according to policy. Also check whether admins can restrict features such as public sharing links, third-party plug-ins or connections to personal cloud storage, since these are the usual routes by which business content leaves a controlled workspace.

3. Identity and access

Single sign-on and automated user provisioning reduce the risk of orphaned accounts. For smaller firms, at minimum confirm that the tool signs users in through your existing email and identity provider and enforces multi-factor authentication. Single sign-on usually appears on business or enterprise tiers rather than entry plans, so it is worth pricing early. It matters most for firms with staff turnover, contractors or several offices, because removing one identity then removes access to every connected AI tool at once instead of relying on someone to remember each subscription.

4. Permission inheritance

Tools that search your documents, email or CRM need to respect the permissions already set in those systems. If they do, the AI only shows people what they can already open. If your file permissions are loose, fix them before switching on AI search, because the AI will surface what the permissions allow. A practical test is to ask a trial account, set up with an ordinary staff member’s access, to find salary, board or client documents it is not permitted to see. If it finds them, treat the result as a security failure and hold the rollout while you check source permissions, inherited sharing, how the connector maps user identities, how quickly the index picks up permission changes and what the vendor documents about its behaviour. Microsoft states that Copilot only surfaces organisational data to which each user has at least view permission, and Notion states that permission changes in connected apps are reflected within 1 hour, longer for large workspaces (both September 2026). The same logic applies to CRM and help desk records shared across teams.

5. Data location and residency options

Some vendors let eligible customers store data at rest in Australia. For most SMEs this is a preference rather than a requirement, but it becomes important if client contracts, a parent company or sector rules require local storage. Where residency is offered, read what it covers: some vendors store data at rest in the chosen region while processing requests elsewhere, and some limit the option to new customers or particular plans. Record both the storage location and the processing location in your supplier register, since clients increasingly ask for both.

Not being legally required to store data in Australia does not mean offshore handling has no Privacy Act consequence. Under the OAIC’s APP 8 guidelines, an APP entity that discloses personal information to an overseas recipient must take reasonable steps to ensure the recipient does not breach the APPs, and section 16C generally keeps the entity accountable for that recipient’s handling. Storage location and overseas disclosure are different questions: the guidelines explain that giving data to an overseas cloud provider can be a “use” rather than a “disclosure” where the contract limits the provider to storing it and the entity keeps control, whereas a vendor that processes or accesses the data offshore is more likely to be a disclosure that engages APP 8.

6. Integration with where your work already lives

An assistant that sits inside the email, documents, accounting ledger or help desk you already use will usually deliver more than a stronger model in a separate tab. Count the copy and paste steps a task needs today; the best tool removes most of them. Integration also reduces risk: when AI works inside a system you already govern, outputs land in the right record with the right permissions, rather than in a chat history nobody reviews. For finance, customer service and sales work in particular, AI inside the system of record usually beats a general assistant fed with exported data.

7. Records, retention and export

Check whether outputs such as invoices, meeting notes and customer replies are stored in a system you control, can be exported, and can be retained for the periods your record-keeping obligations require. Meeting transcripts deserve particular care. They can contain personal information about clients and staff, and a recording tool can keep them under its own retention rules unless you set a workspace policy. Decide in advance which outputs are business records to keep, which are working notes to delete, and who is responsible for each.

Recording a conversation raises a separate legal question from how the transcript is stored. Laws on recording private conversations differ by state and territory: Queensland’s Invasion of Privacy Act 1971 (section 43) exempts a party to the conversation from its listening-device offence, while NSW’s Surveillance Devices Act 2007 (section 7) generally prohibits recording a private conversation without the consent of the principal parties, subject to limited exceptions. The OAIC’s workplace monitoring guidance notes that employers must follow Australian, state and territory laws on monitoring and recording conversations. Before a notetaker records, transcribes or circulates a meeting, check the law in each state or territory where participants are located and obtain clear consent from everyone on the call. A tool’s bot announcement or recording notice does not by itself make a recording lawful.

8. Total cost per seat, including usage

Per-seat prices now often come with usage allowances, credits or per-outcome fees for AI agents. Model the cost at your expected usage, not the entry price, and note whether prices are shown before or after GST. Promotional first-year prices, minimum seat counts and separate charges for premium seats can move the real cost well above the headline rate. For a ten-person team, a difference of a few dollars per seat per month matters less than a usage-based charge that scales with success, such as per-resolution AI agents in customer service.

9. Adoption support and human review

The most common failure is not a bad tool but a tool nobody uses well. Look for templates, admin guidance and clear points where a person reviews AI output before it reaches a customer, the ledger or a decision about an individual. Budget time for a short training session and a named internal owner for each tool. A tool with a clear owner, a one-page usage policy and a monthly check on usage is far more likely to deliver the time savings that justified the purchase.

How to build a shortlist

Step 1: list the ten tasks that take the most staff time. Group them into writing, meetings, finance, customer work and automation, the same groups used in the reviews below.

Step 2: find out what staff already use. Ask openly and without blame. Informal use is common, and the tools people already rely on show where demand is. A short anonymous survey works for larger teams; a conversation at a team meeting works for smaller ones. Note which accounts are personal and which are paid by the business, because personal accounts are the ones to replace first.

Step 3: check your existing platforms first. If you already pay for a productivity suite, accounting system, CRM or help desk, its AI features are often the lowest-risk first step because they inherit your existing permissions, records and contracts.

Step 4: pick one general assistant under business terms. Most firms need one approved general assistant so staff have a safe alternative to consumer apps. Standardise on one where you can; two general assistants double the admin work.

Step 5: add specialists only where a task justifies them. Meeting notes, design, research and automation tools earn their place when a specific workflow needs them, and each one is another place your data goes.

Before the pilot, set the test. For each shortlisted tool, write down two or three real tasks from your list, the person who will run them, and what a good result looks like, such as a draft that needs only light edits or a meeting summary that names the right actions. Run the same tasks through each candidate so the comparison is fair, and use the business tier you will actually buy, because consumer and trial tiers can differ on data handling and admin controls. Ask each vendor for its data processing terms and admin documentation before the trial starts rather than after, since those documents often decide the choice once features look similar. Keep notes on set-up effort as well as output quality: a tool that needs a week of configuration before it is useful carries a cost the price page does not show. At the end, drop any tool that did not beat the current way of working on at least one listed task, even if it impressed in a demo.

If you prefer a fit-first decision framework to a ranked list, our guide to choosing AI tools for business walks through that process in more detail.

A note on how the 15 tools below were chosen. We selected widely available tools that Australian businesses can buy self-serve or through local resellers, that publish business terms covering data use, and that cover the five task groups above. We excluded tools aimed mainly at developers, tools sold only to large enterprises, and consumer-only apps. Pricing, data terms and third-party review ratings were checked against each vendor’s pages and G2 in September 2026 and will change, so confirm them before you buy.

The 15 best AI tools for business in Australia at a glance

Reviews

1. ChatGPT Business

ChatGPT Business is a general-purpose, team-administered AI assistant built for businesses that want one approved chatbot for writing, analysis and research. OpenAI renamed ChatGPT Team to ChatGPT Business on 29 August 2025, per its help centre. The data distinction is explicit: OpenAI’s data usage article states that consumer content can be used to improve models unless the user opts out, while inputs and outputs from ChatGPT Business, Enterprise, Edu and the API are not used by default.

Top features

• Admin controls for users, roles and access
• Usage visibility and spend controls
• File analysis, projects and deep research

Pricing: US$20 per user per month billed annually or US$25 monthly for Standard seats; Premium seats US$100 annually or US$125 monthly; minimum 2 seats (OpenAI help centre, September 2026).

Best for: Teams from 2 seats upward that want a single general assistant under business terms.

How does it compare? According to G2 reviews (4.6 out of 5 from 3,036 reviews, September 2026), the most cited drawback is accuracy, with users describing incorrect answers given with overconfidence. OpenAI states that data residency for ChatGPT Business is rolling out gradually and is not yet available to all customers (September 2026). Where offered, the region is chosen at Business checkout, so confirm there whether Australia is available. The chosen region covers primary content stored at rest, not where requests are processed, and a copy of every prompt and response is also kept in the United States for a limited time for safety and abuse monitoring. Enterprise and Edu run under a separate residency policy that lists Australia as a storage region and offers inference residency only in Europe, the United States and the United Arab Emirates.

2. Microsoft 365 Copilot

Microsoft 365 Copilot is an embedded, permission-aware AI assistant designed for organisations that already run email, files and meetings on Microsoft 365. Microsoft’s privacy documentation states that prompts, responses and data accessed through Microsoft Graph are not used to train foundation models. The Australian Government’s Copilot trial evaluation, covering over 2,000 participants from more than 50 agencies, reported perceived time savings of around an hour a day on summarising, first drafts and information searches.

Top features

• Chat grounded in your email, files and meetings via Microsoft Graph
• Built-in agents such as Researcher and Analyst
• Inherits existing Microsoft 365 security and compliance policies

Pricing: Microsoft 365 Copilot Business AU$31.40 per user per month paid yearly, with a promotional rate of AU$26.91 shown, for up to 300 users; Microsoft 365 Copilot (enterprise) AU$44.90 per user per month paid yearly; both ex GST and require an eligible Microsoft 365 plan (Microsoft Australia, September 2026).

Best for: Australian businesses already on Microsoft 365 Business Standard or Premium.

How does it compare? Microsoft’s documentation notes that Copilot surfaces any organisational data a user has at least view permission to, so SharePoint and OneDrive permission models need tidying first. The government trial summary also found only a third of participants used it daily.

3. Gemini in Google Workspace

Gemini in Google Workspace is an integrated, suite-wide AI assistant suited for businesses that run email, documents and meetings on Google Workspace. Google’s Workspace pricing page shows expanded Gemini access in Gmail, Docs, Sheets, Slides, Drive, Meet and Chat on Business Standard and above. Google’s generative AI privacy hub states that content is not human reviewed or used for generative AI model training outside your domain without permission.

Top features

• Gemini in Gmail, Docs, Sheets, Slides and Meet
• Existing Workspace protections applied automatically
• Admin controls through the Workspace console

Pricing: Gemini features included in Business Standard and above; per-user price shown by region on Google’s Workspace pricing page (September 2026), with a discount for annual commitment.

Best for: Google Workspace businesses that want AI without adding a separate subscription.

How does it compare? Google’s own pages disagree on Gemini Notebook’s compliance status: its Gemini Notebook admin page (updated 24 September 2026) lists SOC 1, 2 and 3 and several ISO certifications, including ISO/IEC 27001, while its privacy hub still says Notebook does not support ISO, SOC or FedRAMP compliance. Confirm the current position with Google in writing before relying on it. Neither page lists FedRAMP for Notebook, and both state that the organisation’s data region settings do not apply to Notebook data. G2 reviewers (4.4 out of 5 from 617 reviews, September 2026) most often cite less accurate or less detailed answers.

4. Claude Team

Claude Team is a writing-strong, analysis-focused AI assistant designed for teams that work with long documents, reports and code. Anthropic’s pricing page states that Team and Enterprise content is not used for model training by default. When Anthropic updated its consumer terms on 28 August 2025 to let Free, Pro and Max users allow training with five-year retention, it excluded Claude for Work, which includes Team and Enterprise.

Top features

• Long-context document analysis and drafting
• Single sign-on and admin controls
• Microsoft 365 integration and enterprise search
• Standard and Premium seat types

Pricing: US$20 per standard seat per month billed annually or US$25 monthly; Premium seats US$100 annually or US$125 monthly; minimum 2 seats (Anthropic, September 2026).

Best for: Professional services teams that draft and review long documents.

How does it compare? Anthropic’s help centre states that Team supports up to 150 seats, so larger organisations need the Enterprise plan, and that pricing, currency and tax handling vary by region.

5. Canva

Canva is a template-led, browser-based design platform built for non-designers producing social posts, presentations and marketing collateral. Canva’s AI product terms (effective 26 June 2026) state that privacy settings control whether Canva and its technology partners are permitted to use your data to improve AI services. Its Australian pricing page (September 2026) lists 10 times the AI use of Canva Free on Pro and 20 times on Business, with Canva Shield offered on Enterprise only.

Top features

• AI image and text generation inside the design editor
• Brand kits and templates for consistent output
• Privacy settings governing AI data use

Pricing: Canva Business A$280 per person per year; Canva Pro A$165 per year for one person; Enterprise on request (Canva Australia, September 2026).

Best for: Small marketing and sales teams that need on-brand visuals quickly. For a wider view of marketing-specific tools, see our comparison of the best AI marketing tools.

How does it compare? G2 reviewers (4.7 out of 5 from 7,713 reviews, September 2026) note that designs can look generic and that precision vector tools are lacking. Canva’s AI terms state that AI usage limits are operational controls, not fixed entitlements.

6. Xero (JAX)

Xero with JAX is a cloud-based, AI-assisted accounting platform built for Australian small businesses that want bookkeeping to run closer to real time. Xero’s AI in accounting page says JAX automatically categorises and matches high-confidence bank transactions, digitises forwarded bills and receipts, chases overdue invoices and keeps GST and BAS on track, with the user’s approval.

Top features

• Automatic reconciliation of high-confidence bank transactions
• Receipt and bill capture and filing
• Overdue invoice follow-up
• GST and BAS tracking between lodgements

Pricing: Grow A$78, Comprehensive A$107 and Ultimate A$143 per month, GST inclusive, with JAX included across these plans (Xero Australia, September 2026).

Best for: Small businesses and their bookkeepers already working in Xero.

How does it compare? Xero’s November 2025 announcement described automatic bank reconciliation as a beta limited to high-confidence transactions, with availability varying by plan and region. G2 reviewers (4.4 out of 5 from 1,837 reviews, September 2026) cite reporting limitations and limited customisation.

7. Zapier

Zapier is a no-code, cloud-based automation platform designed for SMEs connecting many web apps without developer help. Zapier’s pricing page lists Copilot on all paid plans, with agents and chatbots available as separate products and AI steps following the same task-based pricing as other steps. Its app directory lists more than 9,000 app integrations (September 2026).

Top features

• Multi-step Zaps with AI steps
• Copilot for building automations in plain language
• Agents and chatbots as add-on products

Pricing: Free plan with 100 tasks per month; Professional from US$19.99 per month; Team from US$69 per month for up to 25 users; Enterprise custom (Zapier, September 2026).

Best for: Small teams linking CRM, forms, email and spreadsheets without a developer.

How does it compare? According to G2 reviews (4.5 out of 5 from 2,087 reviews, September 2026), the most common complaint is cost that climbs as task volume grows, with reviewers noting that task-based pricing makes budgeting hard at scale.

8. HubSpot (Breeze)

HubSpot with Breeze is an all-in-one, AI-assisted customer platform suited for sales and marketing teams that want AI working on CRM records rather than in a separate chatbot. HubSpot’s pricing page lists a free CRM for up to 2 users and an Agent Builder on Starter for custom agents with simple automation.

Top features

• AI inside CRM, marketing email and service tools
• Agent Builder for simple custom agents
• HubSpot Credits for AI usage

Pricing: Starter Customer Platform listed at $20 per seat per month, with a lower promotional starting rate shown and 500 HubSpot Credits included (HubSpot, September 2026).

Best for: Growing sales and marketing teams consolidating onto one CRM.

How does it compare? G2 reviews of HubSpot Sales Hub (4.4 out of 5 from 14,342 reviews, September 2026) most often cite costs that rise as teams scale and key features locked behind higher plans.

9. Notion AI

Notion AI is a workspace-native, context-aware AI assistant built for teams that already keep documents, wikis and projects in Notion. Notion’s AI security page states that by default Notion and its AI subprocessors do not use customer data to train models; LLM providers use zero data retention for Enterprise workspaces and retain data for 30 days or fewer for other plans.

Top features

• Drafting and summarising inside pages
• Workspace question answering
• AI meeting notes and Notion Agent on Business and above

Pricing: Business plan US$20 per member per month, with full Notion AI; Plus US$10 with a trial of AI only; Enterprise custom (Notion, September 2026).

Best for: Teams whose knowledge base and project tracking already live in Notion.

How does it compare? G2 reviewers (4.6 out of 5 from 13,851 reviews, September 2026) most often cite a steep learning curve and slow performance on large databases.

10. Fireflies.ai

Fireflies.ai is an automated, integration-heavy AI meeting assistant designed for sales and client teams that record many external calls. Fireflies’ security page states that customer data is never used for AI training and lists SOC 2 Type II and 0-day retention with vendors. Its pricing page (September 2026) lists transcription in more than 100 languages and a free plan with 400 minutes of storage per team.

Top features

• Unlimited transcription and AI summaries on paid plans
• Conversation intelligence and team analytics (Business)
• SSO, audit logs and custom data retention (Enterprise)

Before recording external calls, check the recording laws covered under criterion 7 and obtain consent from every participant.

Pricing: Pro US$10, Business US$19 and Enterprise US$39 per seat per month billed annually, with Pro and Business shown as discounts from US$18 and US$29 (Fireflies, September 2026).

Best for: Sales and account teams that need call notes flowing into a CRM.

How does it compare? G2 reviewers (4.7 out of 5 from 753 reviews, September 2026) report weaker transcription with heavy accents or crosstalk. Private storage with custom retention is limited to Enterprise (Fireflies pricing).

11. Otter.ai

Otter.ai is a real-time, transcription-first AI notetaker suited for individuals and small teams that want live captions and searchable meeting records. Otter’s pricing page lists up to 90 minutes per meeting on Pro and up to 4 hours on Business, with SSO and domain capture on Enterprise. The same page (September 2026) lists AI transcription in English, Spanish, French, German, Japanese and Chinese, and a free Basic plan with 300 transcription minutes a month.

Top features

• Live transcription and summaries
• Custom AI workflows (Business)
• Unlimited file imports (Business)
• SSO and SCIM (Enterprise)

Before recording meetings or interviews, check the recording laws covered under criterion 7 and obtain consent from every participant.

Pricing: Pro US$8.33 and Business US$19.99 per user per month billed annually; US$16.99 and US$30 monthly; Enterprise custom (Otter, September 2026).

Best for: Small teams recording internal meetings and interviews.

How does it compare? Otter’s privacy policy (effective 16 June 2026) states that it trains its proprietary AI on de-identified audio recordings and also on transcriptions, which the policy notes can contain personal information. Organisations that do not accept training on recordings or on transcripts containing personal information are not the best fit for Otter. G2 reviewers (4.4 out of 5 from 505 reviews, September 2026) report the bot joining meetings unexpectedly and transcripts being shared without clear consent.

12. Grammarly

Grammarly is a continuously running, cross-application AI writing assistant built for teams producing high volumes of client-facing text. Its training control article shows why tier matters: Enterprise, Education, and Pro or Business accounts bought through Grammarly’s sales team are opted out of product improvement and training by default, while Free, Premium and single-user Pro accounts are opted in. Multi-user Pro plans bought through the website, the self-service plan priced at US$12 per member per month billed annually for up to 149 seats, also start with the setting on until an administrator turns it off in the organisation’s data settings. Check and disable that setting before rollout if your policy requires it.

Top features

• Grammar, tone and clarity suggestions across apps
• Plagiarism detection (Pro)
• Data loss prevention, custom roles and bring-your-own-key encryption (Enterprise)

Pricing: Pro US$12 per member per month billed annually; Enterprise custom (Grammarly, September 2026).

Best for: Customer-facing teams that want consistent, clear written communication.

How does it compare? G2 reviewers (4.7 out of 5 from 14,074 reviews, September 2026) most often cite incorrect or context-blind corrections that can alter meaning or make text sound overly formal.

13. Perplexity Enterprise Pro

Perplexity Enterprise Pro is a citation-first, web-connected AI research tool designed for staff who need sourced answers quickly. Perplexity’s enterprise page states that it never trains its models on enterprise customers’ data and lists SOC 2 Type II, SSO and SCIM. The same page (September 2026) states that more than 50,000 organisations use Perplexity Enterprise and offers configurable file retention, with automatic deletion after as little as one day.

Top features

• Cited answers across the web and uploaded files
• Deep research reports
• SSO and SCIM

Pricing: Enterprise Pro US$40 per seat per month or US$400 per year; Enterprise Max US$325 per month or US$3,250 per year (Perplexity help centre, September 2026).

Best for: Analysts, sales researchers and managers doing market and competitor research.

How does it compare? G2 reviewers (4.4 out of 5 from 357 reviews, September 2026) note that citation quality varies, with occasional reliance on thin sources, and that heavy users hit usage caps.

14. Microsoft Power Automate

Microsoft Power Automate is a low-code, Microsoft-native workflow automation platform built for businesses automating approvals, notifications and repetitive desktop tasks across Microsoft 365. It runs within the organisation’s Microsoft tenant. Microsoft’s Power Automate documentation (updated 16 September 2026) describes automated workflows between apps and services that synchronise files, send notifications and collect data, and offers Copilot for building flows where the organisation has AI enabled.

Top features

• Cloud flows across Microsoft 365 and third-party connectors
• Attended desktop automation (RPA)
• Process and task mining
• Unattended bots on Process licences

Pricing: Premium AU$22.40 per user per month; Process AU$224.50 per bot per month; Hosted Process AU$321.80 per bot per month; all paid yearly, ex GST (Microsoft Australia, September 2026).

Best for: Microsoft 365 businesses automating internal approvals and legacy desktop steps.

How does it compare? G2 reviewers (4.4 out of 5 from 1,092 reviews, September 2026) cite confusing licensing, unclear error messages and a steep learning curve for complex flows.

15. Zendesk AI

Zendesk AI is an outcome-priced, service-focused AI layer designed for customer support teams handling steady ticket volume across email, chat and messaging. AI agents are included in Suite and Support plans and resolve common requests, while a Copilot add-on assists human agents with suggested replies and triage, per Zendesk’s pricing page.

Top features

• AI agents billed per automated resolution
• Copilot add-on for agent assistance
• Intelligent triage and auto assist (Enterprise with Copilot)

Pricing: Support Team US$19 and Suite Team US$55 per agent per month billed annually; Suite Professional US$115; Copilot add-on US$50 per agent per month (Zendesk, September 2026).

Best for: Service teams of five or more agents with repeatable enquiries.

How does it compare? Zendesk’s pricing page bills AI agents per automated resolution, so AI cost rises with success and needs monitoring against ticket volume.

How to choose between them

Guidance by role

• For owners and managing directors: prioritise one approved general assistant under business terms and a short written policy on what staff are allowed to enter into it. This closes the largest gap at the lowest cost.
• For finance managers and bookkeepers: prioritise AI inside the ledger, and check that automated reconciliations and captured receipts are retained for the 5 years the ATO expects for most tax-relevant records.
• For sales and marketing leads: prioritise AI that works on CRM records and brand assets, confirm that call recording tools state their training and retention terms, and get participants’ consent before recording, in line with the state or territory recording law that applies.
• For customer service managers: prioritise help desk AI and model outcome-based charges against realistic ticket volumes before committing.
• For IT and operations leads: prioritise single sign-on, user provisioning and permission clean-up before enabling any tool that searches company files.

Implementation considerations

Cost against control is the main trade-off. Entry plans are cheap but often lack single sign-on, audit logs and custom retention, which tend to sit on higher tiers. Suite-embedded AI inherits your permissions and contracts but also inherits any oversharing already in your file system. Specialist tools often do one job better than a general assistant, but every extra tool is another vendor holding your data and another account to remove when someone leaves.

Plan a four to eight week pilot with a small group, measure time saved on the tasks listed in your shortlist, and write down where a person must review output before it reaches a customer, the ledger or a decision about an individual. The Department of Industry, Science and Resources’ Guidance for AI Adoption offers a voluntary structure for that review that suits small teams.

Ownership is the trade-off most often underestimated. A tool with no named owner drifts: seats go unused, settings stay at their defaults, and nobody reads the vendor’s notice when data terms change. Name one person per tool who approves new users, checks admin settings each quarter and removes access when staff leave. Integration depth is a second trade-off. Connecting an assistant to email, files and the CRM makes its answers more useful, but it also widens what the tool can see, so start with read-only connections and add write access only after the pilot shows where it saves real time. Record each tool, its tier, its owner and the data it touches in a simple register.

Finally, set a review date. Prices, data terms and features in this market change several times a year, and a tool that fitted in September 2026 does not necessarily fit a year later. A six-monthly check of each tool’s terms, seat count and actual usage keeps the stack lean and the data position clear, and gives you a natural point to retire tools that staff have stopped using.

Frequently asked questions

Are free AI tools safe for business use in Australia? Free consumer tiers can be used for non-sensitive tasks, but the OAIC recommends that organisations do not enter personal information, particularly sensitive information, into publicly available generative AI tools. Business tiers generally add admin controls and exclude business content from model training by default.

Does the Privacy Act apply to my use of AI tools? If your business is an APP entity, the Privacy Act 1988 applies to personal information you put into AI tools and to outputs containing personal information. Businesses with annual turnover of $3 million or less are generally exempt, but many categories, such as health service providers and businesses trading in personal information, are covered whatever their turnover.

How much do AI tools for business cost? As of September 2026, business tiers of general assistants typically cost around US$20 to US$25 per user per month, suite add-ons in Australia run from about AU$27 to AU$45 per user per month ex GST, and specialist tools range from about US$8 to US$40 per seat, with some charging by usage or outcome.

What is the difference between a consumer AI app and a business AI tool? A consumer app is licensed to an individual, while a business tool is licensed to an organisation, with admin controls, user management and business data terms. The underlying model can be the same.

Do I need an AI policy before rolling out AI tools? A short written policy is not legally required for most businesses, but it helps staff know which tools are approved and what information must not be entered. Australia’s Guidance for AI Adoption is a voluntary starting point.

Should an Australian business choose tools that store data in Australia? Australian data residency is a preference for most SMEs rather than a legal requirement, but it matters when client contracts, a parent company or sector rules require local storage. It is more often available on enterprise tiers. Offshore storage or processing can still engage APP 8: an APP entity that discloses personal information to an overseas recipient must take reasonable steps to protect it and generally remains accountable for how the recipient handles it.

We hope this guide helps you choose AI tools that fit how your business already works. If a packaged tool does not cover a workflow you need, see our overview of AI automation for small business.