Which enquiries need attention first?
Forms, email and messages arrive in different places.
High-priority enquiries reach the right person sooner.
We connect AI to your CRM, inbox, spreadsheets and documents, so routine work runs on its own and your team can focus on clients and decisions.
Forms, email and messages arrive in different places.
High-priority enquiries reach the right person sooner.
Prices, terms and past examples have to be pulled together before a draft is ready.
A first draft is prepared from your own data, ready for your team to review.
Clients and staff often need information that already exists.
An assistant answers from approved information and passes the rest to a person.
Details from emails and PDFs are retyped into the CRM, spreadsheets and invoices, one field at a time.
Data is captured once, shared with your connected systems, and mismatches are flagged for review.
Numbers sit in several tools and get copied into one sheet before anyone can read them.
The report builds itself from the same sources, with the figures cross-checked.
Researching competitors, trends and topics takes time before writing even starts.
Competitor updates and industry trends are collected from selected public sources based on agreed parameters such as relevance, reach and engagement, then analysed and turned into topic ideas and first drafts for your team to review.
Rules, prices and past decisions are spread across documents, chats and people's heads.
We bring your documents, goals, rules and past decisions into one company knowledge base, so your team spends less time searching, gets answers with sources, and the same context can support analysis and better decisions.
Explore Custom AI Systemsenquiries arrive through the website, email and messengers; the ones worth acting on first wait in the same queue as everything else until someone works through the list.
each enquiry is read on arrival, rated against your own criteria and sent to the right person with the context attached.
website forms, shared inbox, messengers and your CRM.
the system prepares and prioritises; a person decides what happens next, replies in their own words and can change any priority.
a new enquiry source is added to the rules before it is handled the same way; anything the system is unsure about is passed to a person for review.
freight quote for 12 routes → rated High priority → assigned to a sales manager → reply drafted for review.
High-priority enquiries reach the right person sooner.
clients ask the same questions by email, chat and phone: prices, delivery times, order status. The answer depends on the team's availability and workload.
an assistant on your website and in messengers answers from your own price lists, policies and order data, and redirects more complex requests to a person with a full conversation handoff.
website chat, messengers, help desk, CRM and your order system.
you decide which topics the assistant can answer, and anything unclear goes to a person.
it answers only from information you have approved; when the answer isn't there, it says so and hands over.
"Where is my order 4821?" at 22:40 → order found → status and delivery date sent → a follow-up question about a refund passed to support with the chat history.
clients get answers to routine questions at any hour, and your team handles the ones that need a person.
numbers sit in several tools and get copied into one sheet every week before anyone can read them.
the report pulls figures from the same sources on schedule, cross-checks the totals and highlights what changed since last week.
your CRM, accounting software and spreadsheets.
the calculations follow rules you agree on; AI writes only the short summary, and a person reviews it before it goes out.
a report is only as good as the data behind it, so gaps and mismatches are flagged rather than filled in.
Monday morning: data collected → totals checked against last week → summary drafted: "Enquiries up, conversion down in one region" → sent to managers after review.
the report is ready at the start of the week, and the team spends its time on decisions.
Ordinary automation follows fixed rules. AI helps when a step needs reading, sorting or writing. We combine them when the task calls for both.
FAQ