
It reads the inbox: The system checks the live enquiry inbox and works out what each message actually needs, ignoring the noise.
It checks the facts: Before it answers, it looks at real availability and staff schedules, so the reply is grounded in what is actually possible.
It prices the job: Using a written rulebook, it works out the cost for each request the same way every time, with no guesswork.

Once it knows the facts, the system drafts a reply in the business's own voice, complete and ready to send. Then it does the most important thing an operations AI can do. It stops and waits for a person to approve, so nothing goes out that the owner has not seen.
It drafts in voice: The reply reads like the business wrote it, not like a template.
It flags the gaps: If it is missing a fact it needs, it says so rather than guessing.
It waits: Approval is one message away, and until it comes, nothing is sent.
Approval is where a lot of tools stop and this one keeps going. Saying yes does not just send an email. It kicks off the real follow-through, so the job is actually finished rather than handed back to a person to complete.
It invoices: On approval the system creates the invoice, so billing is not a separate chore.
It books: It reserves the time or the space, so the calendar matches the promise.
It files: It records the whole job in one place, so nothing is lost and the next person has the full picture.
