Rolling out ChatGPT Business: a practical team plan
Set up a company ChatGPT workspace, prepare employees and check whether it improves their work. A pilot plan with costs and acceptance criteria.
Start with the problem you need to solve. Explore team training, agents, automation, internal knowledge, custom models and alternatives to costly software.
Set up a company ChatGPT workspace, prepare employees and check whether it improves their work. A pilot plan with costs and acceptance criteria.
Budget for the course, preparation, staff time and training accounts. A worked example for ten employees and a method for comparing proposals.
A training switch does not decide where files remain, who can access them or why your company may process the data. Here is what to check next.
When files are enough, when to connect an app, and how to check that an answer uses a current document accessible to the right person.
From a ticket to a checked response. Combine procedures with current order information, define handoffs and calculate the full cost of staff time.
Implement a repeatable spreadsheet workflow in ChatGPT: prepare exports, check joins and totals, then produce a report that can run on the next set of files.
Seats, data preparation, training and integrations are separate costs. Check current prices and a worked example for assessing a ChatGPT investment.
Prepare your team for ChatGPT, choose a first workflow and decide when you need an integration through the OpenAI API.
One tool or a comparison workshop? Match training to company accounts, documents and tasks, using three exercises that support a practical decision.
Compare work before and after rollout. Record review costs, use a practical measurement sheet and define when to expand, revise or end the pilot.
Compare individual accounts, a business workspace and Enterprise. Current prices, the former Team name, access management and budgets for 10 or 50 people.
A project organises work on a case; a custom GPT distributes a way of completing tasks. Compare context, access, source updates and setup costs.
A practical plan for a business with 5–20 employees: choose the first task, set up accounts and budget for a rollout without a dedicated IT project.
Implement ChatGPT for proposals and CRM work. Define pricing sources, missing requirements, document approval and how to measure sales staff time.
When to pay for ChatGPT seats and when to pay for API usage. Compare working methods, responsibilities and the full cost of each option.
Set up one business workflow in Claude Cowork: accounts, folder access, instructions, testing and budget. A practical example using team reports.
Prepare a repository, access controls and code review for Codex. A team rollout plan covering costs, acceptance and measurement of the work saved.
Connect OpenAI models to your CRM, ERP or application. A practical workflow example with token costs, permissions, error handling and acceptance criteria.
Current OpenAI and Anthropic model rates, a shared worked example, and the costs of caching, retries and human review.
An employee has an AI subscription. Can they upload a customer contract or CRM export? Understand the account, confidentiality and GDPR decisions first.