Introduction
OpenAI is often seen as a personal productivity tool: useful for writing emails, planning travel, summarising articles, or getting quick answers. That view is understandable. Many owners first meet ChatGPT as an individual tool, not as business infrastructure. But for sole operators and very small teams, that personal familiarity can be an advantage. The owner’s thinking, customer knowledge, admin routines, professional judgement, and business planning often overlap. A familiar AI workspace can become a practical support layer for running the business, not just managing personal tasks.
For small businesses with 0–20 employees, the most useful OpenAI capabilities today are: ChatGPT Business workspaces, Projects and custom GPTs, and Deep Research with apps/connectors and file analysis. Together, they can support drafting, planning, research, reporting, process improvement, customer communication, knowledge capture, and decision preparation. OpenAI says ChatGPT Business provides a shared workspace, admin controls, central billing, and business data protections, with OpenAI not training on workspace data.
The opportunity is not only to ‘let AI run the business’, but also gives the owner or small team a clearer operating assistant: one that helps organise knowledge, improve work quality, reduce repeated effort, and make better use of existing tools. Scaling It can help small businesses build from current data, cloud tools, workflows, and knowledge before adding more complexity.
ChatGPT Business as a shared operating workspace
ChatGPT Business is useful when a business has moved beyond casual AI use and needs a more controlled place for work. It gives small teams a dedicated workspace with roles, billing, admin controls, and access to business-focused capabilities. For a two-person consultancy, this could mean keeping proposal drafting, client meeting preparation, service checklists, and internal planning inside one work environment rather than scattered across personal accounts. Its value is control and repeatability: the business can decide who has access, how the workspace is used, and what kinds of work belong there. Its limits are important. It does not replace good file management, privacy processes, cybersecurity controls, or professional judgement. Australian businesses should also check privacy obligations before entering personal information into commercially available AI tools, because the Privacy Act can apply where personal information is involved.
Custom GPTs and Actions for repeatable business support
Custom GPTs are one of OpenAI’s strongest small-business features because they let a business turn repeated know-how into a reusable assistant. A custom GPT can include instructions, knowledge files, capabilities, apps, and actions, so it can behave less like a blank chatbot and more like a focused helper for a defined business task. OpenAI’s current GPT builder supports configuring, testing, managing, and versioning GPTs, including the use of actions that connect a GPT to external APIs.
The more powerful possibility is actions. Actions allow a custom GPT to connect to external systems through APIs, subject to configuration and permissions. In practical terms, this means a GPT may be able to do more than draft text: it could retrieve approved information, start a workflow, create a record, check a system, or pass structured information into another tool. OpenAI’s app controls also allow workspace admins to manage what actions connected apps can perform, including read-only or selected action permissions.
For a sole operator, this could become a ‘business development assistant’ that understands their services, tone, ideal clients, proposal structure, and follow-up process. For a small team, it could become a ‘client onboarding assistant’, ‘internal policy helper’, ‘quote preparation guide’, or ‘service delivery checklist assistant’. The benefit is repeatability. Instead of rewriting instructions every time, the business can build a controlled assistant around a known process.
For very small businesses, this opens up practical use cases without needing a full software team. A custom GPT could help prepare a customer enquiry, then send structured details to a CRM; gather intake information, then create a draft project brief; or guide a staff member through a checklist, then record completion in an approved system. This is where AI moves from “help me write something” to “help me carry out a controlled step in my business process”.
The limits are important. Actions need careful setup, authentication, testing, and permission control. A poorly designed action could update the wrong record, expose sensitive information, or create confusion about what has actually been approved. Small businesses should start with low-risk, read-only or draft-only actions before allowing AI to create, send, delete, or change business records. Human review should remain in place for customer commitments, pricing, legal matters, financial information, employment issues, and confidential data.
Codex for building, improving, and maintaining small business tools.
Codex is one of the most powerful parts of the OpenAI ecosystem for businesses that rely on websites, spreadsheets, databases, integrations, internal tools, or lightweight software. OpenAI describes Codex as an AI agent that helps users write, review, and ship code, and it is available through eligible ChatGPT plans with usage depending on plan type. For a very small business, the value is that useful technical improvements become easier to scope, test, document, and discuss.
At its best, Codex can help a business create or improve practical assets: website fixes, automation scripts, spreadsheet tools, reporting dashboards, internal calculators, form logic, simple customer portals, data-cleaning scripts, and documentation for existing code. OpenAI describes Codex as a suite of coding-agent experiences, including Codex CLI, Codex Cloud, and the Codex VS Code extension. This matters because many small businesses have awkward technical gaps: a spreadsheet that keeps breaking, a website that needs small changes, a manual reporting task, or a half-built automation that nobody wants to touch.
Codex becomes more useful when combined with connectors, apps, and file analysis. OpenAI’s GitHub connector allows ChatGPT to read repository code, README files, and related documentation so users can ask questions about their own codebase. ChatGPT Business release notes also show a growing set of connectors for business systems such as Asana, ClickUp, GitLab Issues, Help Scout, Teamwork.com, Zoho Desk, Azure Boards, Basecamp, and Zoho CRM. In practical terms, this can help connect technical work to business context: what customers are asking for, what internal tasks are delayed, what bugs are being reported, or what process needs support.
For a small Australian business, the best use cases are controlled and practical. A boutique retailer could use Codex to improve a product upload spreadsheet or build a small stock-checking script. A consultant could use it to create a repeatable proposal calculator. A trade business could use it to refine a booking form or produce a simple job-status dashboard. A micro-agency could use it to review code, draft tests, improve documentation, or prepare clearer handover notes for a developer.
The risks are real. Codex can produce code that looks plausible but contains bugs, security weaknesses, or maintenance problems. It should not be used to make unsupervised changes to payment systems, customer records, legal documents, financial calculations, or security settings. The best approach is to use Codex with backups, version control, test data, clear approval steps, and professional developer review where the business impact is high. Used well, Codex can help a small business turn “we need a tool for that” into a more affordable first prototype, clearer technical brief, or better-maintained internal asset.
Preparing the system before deploying OpenAI
Before adopting the OpenAI ecosystem, prepare the system around it. Start with five checks: what work will AI support, what data it needs, what data it must not receive, who will review outputs, and where final records will live. The Australian Signals Directorate’s small business AI guidance highlights cybersecurity risks in cloud-based AI adoption and practical mitigations. The National AI Centre’s guidance also recommends fit-for-purpose risk management and lifecycle review for AI use. In Scaling It terms, this is readiness, resilience, and renewal: understand the current system, add safeguards, then revisit the setup as the business and technology change.
Conclusion
OpenAI can help run a small business, but not by replacing the owner’s judgement or turning operations over to an autonomous system. Its practical value is in helping very small businesses think, draft, research, organise, analyse, document, and improve more consistently. For businesses that want to stay deliberately small, this matters. The goal doesn’t need to be rapid headcount growth. It may be better service, less admin drag, clearer knowledge, and more sustainable capacity for the owner. The further insight is this: OpenAI is most useful when treated as part of the business system, rather than as a separate experiment.
Takeaways
Start with one repeatable workflow, such as proposals, customer replies, meeting notes, or research.
Use a Business workspace when work involves staff, client information, or ongoing business records.
Create Projects before custom GPTs so the context is organised first.
Keep sensitive customer, employee, legal, financial, health, or confidential data out until privacy and security settings are checked.
Review outputs manually, document approved uses, and revisit the setup as tools and risks change.
Further Reading
OpenAI Help Center: What is ChatGPT Business?
OpenAI Help Center: Projects in ChatGPT.
OpenAI Help Center: Deep Research in ChatGPT.
OAIC: Privacy and commercially available AI products.
ASD ACSC: Artificial intelligence for small business.
Bibliography
OpenAI, What is ChatGPT Business?, OpenAI Help Center, current as accessed 17 June 2026.
OpenAI, ChatGPT Business: General FAQ, OpenAI Help Center, current as accessed 17 June 2026.
OpenAI, Projects in ChatGPT, OpenAI Help Center, current as accessed 17 June 2026.
OpenAI, Enterprise Privacy at OpenAI, OpenAI, 8 January 2026.
Office of the Australian Information Commissioner, Guidance on privacy and the use of commercially available AI products, 21 October 2024.
Australian Signals Directorate, Artificial intelligence for small business, 14 January 2026.
National Artificial Intelligence Centre, Guidance for AI adoption: implementation guidance, 5 May 2026.
