OpenAI’s latest model can do considerably more than draft a quick email.

GPT-5.6 arrived on July 9, 2026, with stronger performance across coding, professional knowledge work, tool use, and complex reasoning. It also powers ChatGPT Work, which can gather context from files and tools, plan a task, take actions, and create outputs such as documents, spreadsheets, and presentations.

For a small business, the interesting question isn’t simply, “What can the new AI do?”

It is: Which parts of real business work can it handle reliably, and where should a human still be involved?

That is where combining ChatGPT with a virtual assistant becomes useful. GPT-5.6 can process information, generate drafts, analyze data, and move through multi-step work quickly. A VA can provide the instructions, check sources, handle exceptions, correct mistakes, organize the output, and make sure the result actually fits the business.

Here are six practical GPT-5.6 business use cases where that combination makes sense.

1. Research and competitor analysis

Research often consumes time before the actual decision-making even begins.

Someone has to find sources, compare companies, read reports, identify patterns, organize the information, and turn it into something usable.

GPT-5.6 can accelerate that middle layer.

OpenAI says GPT-5.6 is designed for professional knowledge work, while ChatGPT Work can gather context from tools and files, plan an approach, and produce structured outputs such as spreadsheets and documents.

One public example comes from Virgin Atlantic. The company used ChatGPT Work to research and compare customer journeys across competitors, then turn the findings into a dataset that highlighted strengths, weaknesses, and areas for investment.

A smaller business could apply the same idea at a more modest scale.

For example, you might want to compare ten competitors by:

• services offered;

• pricing structure;

• positioning;

• customer complaints;

• locations served;

• content topics;

• or visible differences in their sales process.

GPT-5.6 can help summarize and compare the material. Your VA can gather the correct source material, maintain the research sheet, check whether the AI’s claims match the original sources, remove outdated information, and flag conclusions that need your judgment.

That last part matters.

AI can help you get through information faster, but a polished answer isn’t automatically a verified answer. The human role is not simply pressing “generate.” It is controlling the inputs and checking whether the output deserves to influence a business decision.

This builds naturally on the broader AI for business owners use cases already discussed on Boost VA, but GPT-5.6 makes the research process capable of handling a larger portion of the work in one place.

2. Drafting content and business communication

Content creation is one of the easiest places to understand the AI plus VA model.

Imagine you need:

• three social posts from a finished article;

• a customer follow-up email;

• a first draft of a newsletter;

• five product descriptions;

• a meeting summary;

• or a rewritten version of a client announcement.

GPT-5.6 can produce the first version quickly.

Your VA can provide the source material, specify the desired tone, give the AI previous examples, check names and facts, remove generic wording, adapt the draft to the platform, and prepare it for approval or publishing.

The difference between “AI wrote something” and “the business has a usable asset” often lies in those final steps.

For example, a founder might leave a long voice note explaining a change to a service. OpenAI specifically lists turning a free-flow voice note into a concise Slack message as a ChatGPT Work use case. The same underlying process can extend to internal updates, customer emails, briefing notes, or social content.

A practical workflow could be:

Founder explains the idea → VA prepares context and instructions → GPT-5.6 drafts the material → VA checks facts and tone → founder approves anything sensitive or strategic.

In my own VA work, I already use ChatGPT and Claude for tasks such as structuring content, extracting information, preparing metadata, research support, and other repetitive knowledge work. The useful part isn’t removing human review. It is using AI to reduce the amount of repetitive preparation before that review happens.

3. Reporting, spreadsheets, and data-heavy admin

Businesses collect plenty of data that isn’t immediately useful.

CRM exports, sales figures, project updates, event registrations, customer feedback, research spreadsheets, and campaign reports can all become piles of information that somebody still has to clean and interpret.

This is another strong GPT-5.6 business use case.

OpenAI’s ChatGPT Work examples include producing spreadsheets, forecasts, dashboards, presentations, and analytical outputs from business information.

NVIDIA provides one useful public example. A go-to-market manager described using ChatGPT Work to turn recurring Excel-heavy event reporting into a repeatable process instead of repeatedly doing the same manual number crunching.

For a smaller company, you don’t need an enterprise-scale system to apply the same principle.

A VA could prepare a weekly report by gathering:

• completed tasks;

• overdue items;

• leads added;

• outreach responses;

• website metrics;

• sales data;

• unresolved issues;

• and notes requiring management attention.

GPT-5.6 could help group the information, identify obvious changes, draft a written summary, or suggest a clearer reporting format.

The VA then checks calculations against the original data, removes incorrect conclusions, adds missing context, and sends the final report through the normal business process.

This is where the distinction between AI and human assistance becomes particularly important. As I explain in the guide to the benefits of hiring a virtual assistant, automation can be useful for repetitive steps and information organization, while a human VA can still handle context, verification, coordination, exceptions, and follow-through.

4. Customer support and sales preparation

GPT-5.6 can also help with the information-heavy work around customers and leads.

That doesn’t mean handing every customer conversation to an AI agent.

A safer starting point is to use it for preparation and triage.

For customer support, that could include:

• categorizing incoming requests;

• summarizing long email threads;

• drafting answers from approved policies;

• identifying recurring questions;

• preparing suggested responses;

• and highlighting messages that need escalation.

Your VA can check whether the draft actually matches company policy before anything is sent.

Sales support works similarly.

A business might have information spread across a CRM, meeting notes, email conversations, and spreadsheets. GPT-5.6 can help organize that context and surface patterns. A VA can then verify the contact information, update CRM fields, prepare a concise account summary, and flag the leads that require a salesperson’s personal attention.

Zapier has publicly described using ChatGPT Work to analyze lead journeys across multiple systems and turn the results into a recurring executive view.

For a smaller team, the exact setup may be simpler, but the principle is useful: let AI reduce the information-handling burden while keeping relationship decisions with people.

Customer complaints, refunds outside normal policy, important negotiations, legal issues, major pricing decisions, and sensitive conversations should still have clearly defined escalation rules.

5. Small automations and coding support

Coding improvements in GPT-5.6 may sound like something only software companies need.

They aren’t.

According to OpenAI’s GPT-5.6 announcement, GPT-5.6 Sol is its strongest coding model in the family, and GPT-5.6 can also write and run lightweight programs that coordinate tools and process intermediate results.

A small business may not need a new application, but it may have plenty of tiny technical frustrations.

For example:

• renaming or restructuring files in bulk;

• cleaning CSV data;

• transforming repetitive spreadsheet information;

• generating formulas;

• preparing a browser automation;

• extracting structured fields from consistent documents;

• checking two datasets for duplicates;

• or creating a simple internal utility.

GPT-5.6 can help draft code or formulas for this type of work.

A technically comfortable VA can describe the required outcome, provide sample inputs, run the script in a safe environment, compare the result against the original data, document how it works, and identify failures before the automation is trusted with a larger workload.

That doesn’t turn a general VA into a software developer.

Complex applications, security-sensitive systems, production infrastructure, major integrations, and anything with significant financial or operational risk may still require an experienced developer or other specialist.

The useful opportunity is smaller: repetitive technical problems that previously weren’t worth commissioning as a full development project may become easier to prototype.

6. Multi-step work with ChatGPT Work

The biggest change isn’t necessarily that GPT-5.6 writes better individual answers.

It is that ChatGPT is becoming better at carrying a piece of work through several stages.

OpenAI describes ChatGPT Work for small businesses as an agent capable of completing multi-step tasks and helping finish complex projects or initiatives end to end.

That changes the role of the person using it.

Instead of asking:

“Summarize this spreadsheet.”

You might ask for an outcome such as:

“Review this week’s customer feedback, group the recurring complaints, compare them with last week’s notes, prepare a short management summary, and create a list of issues that need follow-up.”

The VA’s job then looks less like manually completing every individual step and more like managing the process:

1. Define the expected result.

2. Make sure the AI has the correct source material and access.

3. Specify what it may and may not decide.

4. Review the intermediate or final result.

5. Correct mistakes and handle exceptions.

6. Move the approved output into the real workflow.

GPT-5.6 also introduces higher-compute reasoning settings and multi-agent capabilities for demanding work. OpenAI’s ultra setting can coordinate multiple agents across parallel workstreams, while developers can build similar experiences through the multi-agent functionality in the Responses API.

That is powerful, but more automation also creates more opportunities for a wrong assumption to travel through several steps before someone notices it.

The amount of human review should therefore increase with the consequence of the task.

A simple way to decide what AI should handle first

You don’t need to redesign your entire operation around GPT-5.6.

Start by looking for a task with these characteristics:

A task doesn’t need to meet every condition perfectly.

But if the AI would be making an irreversible decision, communicating something sensitive without review, handling data it shouldn’t have access to, or working in an area where nobody can recognize a bad result, automation probably isn’t the place to start.

If you are still deciding which responsibilities are suitable for human support in the first place, the tasks to delegate to a virtual assistant checklist provides a useful starting point for separating repeatable execution from decisions that should stay with you.

GPT-5.6 doesn’t remove the need for ownership

GPT-5.6 can make an assistant more productive, but productivity isn’t the same thing as ownership.

Somebody still needs to know:

• why the task matters;

• which information is trustworthy;

• what the business considers acceptable;

• which mistakes are serious;

• what should be escalated;

• and where the finished output needs to go.

That is why I see AI and virtual assistance as complementary rather than interchangeable.

ChatGPT can take on increasingly large pieces of the mechanical and analytical work. A VA can manage context, organize the inputs, check the output, work across the surrounding systems, and make sure the task actually reaches completion.

The result isn’t simply “AI does the work faster.”

The better goal is a business process in which neither the owner nor the VA spends time manually repeating steps that software can handle safely, while human judgment remains attached to the parts that still need it.

If research, reporting, data work, content operations, WordPress, outreach, or other recurring backend work is taking too much of your time, tell me what you need help with. We can look at the workflow and decide which parts make sense for AI, which parts need VA ownership, and which decisions should stay with you.