Most business brokers don't have an admin assistant sitting beside them. They have a phone, a full pipeline, a stack of NDA requests, and a buyer who emailed at 7 am wanting to know the EBITDA trend on a listing they half-remember. The day fills up fast.
An AI assistant sounds appealing in theory, but the standard pitch — "open a new tab, describe your situation, copy the answer back" — adds steps rather than removing them. The genuinely useful version is one that lives inside your CRM, knows your data, and acts on it. That's what the Agency Office AI Assistant is designed to be.
Here's what that actually looks like in practice for a busy negotiator.
Drafting emails without starting from a blank page
Email is where a surprising amount of broker time disappears. Not reading it — writing it. A viewing confirmation, a follow-up after a missed call, a gentle nudge to a buyer who's gone quiet, a covering note to send alongside an information memorandum. Each one takes three to five minutes to compose from scratch. Across a day with a dozen touchpoints, that adds up.
With the AI Assistant, you select the contact or opportunity record you're working in and ask for a draft. It pulls the relevant context — the business type, the buyer's stated criteria, where they are in the process — and produces a first version in the right tone. You edit, approve, send. The blank-page problem disappears.
The difference versus pasting details into a standalone AI tool is that you don't have to explain the situation every time. The context is already there.
Writing business particulars in a fraction of the time
A well-written set of business particulars can take 45 minutes to an hour when you're doing it properly — pulling together the sector, trading history, premises detail, and a compelling narrative that doesn't give away anything the vendor isn't ready to share publicly.
The AI Assistant can turn a structured listing record into a polished first draft in under two minutes. Because it's reading from your actual data — sector classification, tenure, asking price guidance, business summary notes — rather than a brief you've typed from memory, it tends to get the detail right. You'll still want to read it, sharpen a sentence or two, and make sure the tone matches the business. But you're editing a good draft, not writing from scratch.
Many negotiators find that the time saving here alone justifies the change in workflow.
Answering buyer enquiries without digging through the record
A buyer replies to a listing: "Can you tell me more about the reason for sale, the lease terms, and whether there's scope to take on more staff?" You know you have notes on this somewhere. You're fairly sure the lease is 10 years with a break clause. The reason for sale is in the vendor's original instruction notes. The staffing question you'll need to check.
Rather than clicking through tabs to piece it together, you can ask the AI Assistant directly. It reads the record and gives you a summary of what it knows, flags what's missing, and can draft a response to the buyer that covers the confirmed points while handling the gaps appropriately.
This is especially useful mid-morning when you're fielding several enquiries at once and the mental overhead of context-switching between listings starts to show.
Summarising long records before a call
Business sales take time. By the third or fourth month on a transaction, the record has accumulated viewings, notes from solicitors, buyer feedback, revised offers, and a trail of emails. When the phone rings and it's the vendor wanting an update, you want to be sharp — not scrolling.
A quick prompt to the AI Assistant — "summarise where we are with this opportunity and what's happened in the last two weeks" — gives you a concise briefing before you pick up. It's the closest thing to having someone prep you before a call.
Surfacing what needs doing next
The AI Assistant isn't just a drafting tool. Because it can read across your pipeline, it can flag things that need attention: enquiries that haven't had a follow-up, buyers whose search criteria match a listing that came in after they last engaged, viewings with no feedback logged. It surfaces those prompts inside the CRM rather than requiring you to run a report or rely on memory.
For a negotiator managing 20-plus active enquiries at once, this kind of proactive nudging is the difference between a pipeline that moves and one that quietly stalls.
The before and after in plain terms
Before: write an email (5 min), write particulars (45 min), prep for a call by scrolling through notes (8 min), answer a detailed buyer enquiry (10 min). A working morning of admin on a busy day might account for two hours of that kind of work.
After: the same tasks done with the AI Assistant typically take a fraction of that time — because you're reviewing and approving rather than composing from scratch, and the context is already in front of you. The time doesn't vanish entirely, but it compresses significantly.
The practical point isn't that AI does your job. It's that the repetitive, energy-draining parts of the day get shorter, which leaves more room for the conversations and judgements that actually move deals forward.
If you'd like to see how the AI Assistant fits into a business transfer workflow specifically, book a 20-minute demo and we'll show you inside a live environment.