Who Can Build ChatGPT Workflows and Automations for Your Team?

Most teams start with ChatGPT the same way. A few people use it every day, a few never touch it, and everyone has their own way of prompting it. It helps, but it doesn't change how the business runs. The change comes when someone turns those scattered habits into shared workflows: the same assistant, the same steps and the same checks, connected to the tools your team already uses.

This guide explains who can build ChatGPT workflows and automations for a team, what the options are good at and how to brief whoever you choose. I build these myself, so I'll be clear about where I fit.

What is a ChatGPT workflow for a team?

A ChatGPT workflow is a repeatable process where AI does part of the work in the same way every time. It might be a custom assistant that knows your brand voice and drafts replies, a shared set of instructions for writing proposals, or an automation that sends a form submission to ChatGPT, drafts a response and drops it into your inbox or CRM for a human to check. The point is consistency: the whole team gets the same quality, and nobody has to remember the perfect prompt.

Who can build ChatGPT workflows and automations for your team?

Someone on your own team

If you've got a curious, organised person who enjoys this, they can build simple shared assistants and instructions with a bit of training. It's the quickest route to your team owning the work. The limit is usually connecting ChatGPT to other tools, which takes automation skills.

Freelance automation builders

Specialists who connect ChatGPT to your apps with platforms such as Make.com, Zapier or n8n. They're fast when you know exactly what you want built.

AI consultants

Consultants who start with how your team works, decide which workflows are worth building and then build them, often training the team as they go. They suit businesses that know they should be using AI better but aren't sure where to start.

Agencies and developers

For heavy custom work, such as a private assistant connected to internal systems with strict data rules, a development team may be the right call. For most small teams it's more than they need.

Which ChatGPT workflows should a team build first?

• Customer replies: a custom assistant that drafts answers to common enquiries in your voice for a human to approve.
• Proposals and quotes: shared instructions that turn call notes into a first draft.
• Meeting follow-ups: summaries and action lists sent to the right people.
• Content: one article or video turned into social posts, a newsletter section and website copy.
• Internal knowledge: an assistant that answers staff questions from your own documents.

I've written up a lot of these in practice in AI automation for marketing teams, including what each one replaces.

How do you brief someone to build ChatGPT workflows?

1. List the tasks. Write down the jobs your team repeats every week and roughly who does them.
2. Pick one or two to start. Choose tasks that happen often and are easy to check.
3. Gather examples. Good past emails, proposals or posts teach the assistant what good looks like.
4. Set the rules. Decide what data must never go into AI tools and where a human must approve the output.
5. Agree the handover. Workflows should live in accounts you own, with simple written instructions and a short recorded walkthrough.

Questions to ask before anyone builds your ChatGPT workflows

• Which account will these live in, and who controls access?
• How will we know if the output starts getting worse?
• What happens when ChatGPT or one of the connected apps changes?
• How will the team be shown how to use and improve it?
• Which tasks would you advise us not to hand to AI?

Where I fit

I'm Lilach Bullock, a British AI marketing consultant with 21 years in marketing. I built, scaled and sold a digital marketing agency, I've partnered with brands including Twitter, Dropbox, IBM, monday.com and Greenpeace, and Forbes listed me in the Top 20 Social Media Power Influencers. I build AI workflow automations in Make.com, Zapier and n8n, along with AI agents and custom tools, for founders, service businesses and small teams in the UK, the US and worldwide.

You can read how I work as an AI consultant for small businesses, or if you'd rather your team learned to build these themselves, read about my AI training for business owners.

Building ChatGPT workflows for your team: the short version

Start with one or two tasks your team repeats every week, gather good examples, set clear rules on data and human checks, and make sure whatever gets built lives in your accounts with simple instructions. Whether a team member, a freelancer or a consultant builds it, judge the result by whether people use it a month later.

Frequently asked questions

Who can build ChatGPT workflows for my team?

A capable team member, a freelance automation builder, an AI consultant or a development agency. Small teams usually get the best result from a consultant or builder who also shows the team how to use and improve the workflows.

Do I need a developer to connect ChatGPT to my other tools?

Usually not. No-code platforms such as Make.com, Zapier and n8n connect ChatGPT to most common business apps.

Is it safe to use ChatGPT workflows with customer data?

It depends on the account type and your rules. Decide what data must never go into AI tools, use business accounts with the right settings and keep a human check on anything customers see.

What is the first ChatGPT workflow a team should build?

Pick a task that happens every day and is easy to check, such as drafting replies to common enquiries for a human to approve.

How long does it take to build a ChatGPT workflow?

Simple shared assistants can be set up quickly. Workflows that connect several apps take longer because they need testing with real examples before the team relies on them.