If your inbox mixes real leads, spam and support queries, AI can sort and draft replies, with a human still in charge. Here's how it works.
Every business with a contact form knows the pattern: a few genuine enquiries, a few support questions, a pile of sales pitches, and a gap before anyone replies. Speed matters when someone is comparing suppliers, so triage is a good first AI project.
An incoming message is read, labelled (new enquiry, existing customer, spam, supplier), and its key details pulled out: what they want, rough budget or timeframe if mentioned, how urgent it sounds. It then lands in the right place with a suggested reply for a person to approve.
It's a classification and summarising job on short text, which language models handle well. Mistakes are cheap to catch because a person reviews the output, and the benefit, faster replies to real leads, is easy to see.
Keep a human approving replies at first. Log what the AI decided so you can spot patterns. Provide a clear path for anything it's unsure about. And be careful with personal data: the tool should be configured so enquiry content isn't used for anything beyond your own process.
Run it in shadow mode for a couple of weeks: let it label and draft while people carry on as normal, then compare. If it's right most of the time, switch it on. This is one of the jobs a small business can automate this quarter.
We can build a triage workflow around your inbox, forms and CRM.
Start a conversation →It can, but we'd normally start with drafts that a person approves. Automatic replies make sense once you trust it on routine cases.
Usually yes, via integrations or webhooks. It depends on which CRM and what access it offers.
That's why review and logging matter. Unsure cases go to a person, and you can tune the instructions over time.
