Before you add AI, find the handoff that keeps breaking

“We need an AI strategy” is a wide starting point. “Enquiries wait in a shared inbox until someone notices” is a workflow you can map and improve.

Choose a repeated task with a clear beginning, a useful outcome, and someone responsible for it. Record how often it happens, how much time it takes, and the mistakes that cause extra work. That gives you a baseline for a pilot.

Write down the trigger, the data involved, the tools used, and the person who owns the next action. Then look at the exceptions: an incomplete enquiry, a duplicate contact, an attachment that cannot be read, or a system that is temporarily unavailable.

Automation needs an answer for those cases. Otherwise it can move a fragile manual process into a fragile automated one.

A direct integration can move a form submission into a CRM. A rule can route an enquiry by service. Neither necessarily needs an AI model.

AI may help when the work requires interpreting varied text, preparing a draft, or summarising information. Even then, the output needs a defined use and an appropriate review step. Start by deciding what the workflow must do, then choose the tool.

List the data the workflow needs and remove anything unnecessary. Check the terms, retention settings, access permissions, and processing location of the services you intend to use. Use approved information sources for internal knowledge tasks.

Do not paste confidential client information into an unapproved tool as an experiment. A useful pilot can often begin with synthetic or redacted examples while your team reviews the data requirements.

A draft response and a sent response have different consequences. For an early pilot, let the workflow prepare the next action and let a person approve it.

Agree on who reviews outputs, what they check, and what happens when the system is uncertain. Make it easy to stop the workflow or return to the manual process. Human review works best when it has a specific purpose, rather than being a vague final checkbox.

Try incomplete inputs, duplicate submissions, unusual wording, and an unavailable downstream system. Confirm that failures are visible to someone and do not silently discard work.

Compare the result with your baseline. Include review time, exception handling, software costs, and maintenance. A workflow that saves time in the happy path but creates cleanup elsewhere may need a simpler design.

A sensible first project might connect one enquiry form to one pipeline with an approval step for the first reply. Once that is reliable, you can decide whether to add classification, reporting, or another handoff.

Tool features change. A clear process, an accountable owner, and documented fallbacks give you a better foundation than choosing a platform because it is popular this month.

Explore our AI and workflow automation service or discuss a process you would like to improve.