A practical guide to introducing AI into your business

Introducing AI is easier to manage when the business starts with a defined task. Work out what the team needs help with, test a limited version and use the results to decide what happens next.

A rollout also needs time for data preparation, staff training and corrections. Including that work in the plan gives the team a more realistic view of the effort involved.

1. Find a task worth improving

Look for repeated work that takes time or regularly needs correcting. Examples might include organising incoming enquiries, preparing a draft summary or finding information in approved documents.

Write down the current process and the result you need. Choose measures that relate to the work, such as handling time, corrections or the quality of the information handed to the next person.

2. Run a limited pilot

Choose one process or a small group of users. Agree on what the pilot can do, who reviews its output and what would justify expanding it. Set a review date and keep the existing way of working available while you test.

Give the team a clear account of the purpose. A pilot is an opportunity to learn how the tool behaves on actual work, including the unusual cases that a demonstration may miss.

3. Prepare the systems and information

Check whether the proposed tool can work with the systems you already use. Identify where the information lives, who owns it and which records are current. Remove duplicates and define which sources the tool should rely on.

Decide what information it needs access to and what actions it may take. For example, permission to read a customer record is different from permission to change it or send a message on the business’s behalf.

4. Involve the people doing the work

Ask staff to help test the pilot. They can identify missing context, awkward steps and outputs that look plausible but are not useful. Give them examples, a short guide and a clear route for reporting problems.

A person who understands the tool can support colleagues during the rollout. Make that responsibility explicit and allow time for it, rather than adding it informally to an already full workload.

5. Measure, adjust and expand

Compare the pilot with the original process. Include the time spent reviewing and correcting output, as well as any time saved. Check failure cases and the effect on the next person in the workflow.

Anthropic’s engineering guidance distinguishes fixed workflows from systems where the model decides which tools and steps to use. It also recommends starting with a simple approach and adding complexity only where it is useful. That is a helpful design principle when deciding what a pilot actually needs. Read the engineering guidance.

Expand only when the team understands the results and the ongoing responsibilities. Keep monitoring in place so changes in data, services or working practices are noticed.

6. Agree on implementation and support

For businesses without an internal technical team, a partner can help connect the tools, prepare information and train staff. Discuss maintenance, access, running costs and what happens when something fails before commissioning the work.

We can help review the opportunity and plan an integration with your existing website, CRM, calendar or other systems. Tell us which process you want to improve.