Use cases · Business development
Relationships at scale
Business development in your own name: the assistant finds who counts, writes each a note about something real, and remembers every conversation. Nothing is sent without you.
The situation
Leo runs business development for a small tech recruitment agency and wants more hiring managers as clients. That means knowing a lot of people personally and staying in touch, with every note about something real: a new role on their team, a funding round, a talk they gave. And nobody may get a tone-deaf message: not someone who replied last month, and never someone who asked to be left alone. The work is enormous and repetitive, and every word of it goes out in Leo’s name.
Handing it over
You: I want to know the people who hire engineers at Melbourne fintechs. Here’s my LinkedIn connections export. Nothing gets sent without me.
Assistant: Your brief: engineering leaders at fintechs of 50 to 500 people, in Melbourne. 212 of your connections might fit. I’ll check each one, read what their company is doing and look at your history with them before I draft anything. Twelve drafts to start?
You: Twelve is good. Leave out the banks.
Assistant: Banks are out. I’ll open your page when the twelve are ready.
While he does something else
For each connection, Leo’s assistant reads the profile and the employer, judges both against the brief, and reads the message history before it drafts a word. Someone who already replied is not written to as a stranger. Someone who said no thanks is never written to again, in this campaign or any other. Several assistants share the reading, and none of them reads the same person twice.
Leo decides every message
Batch 3: twelve drafts
Twelve people fit, each with something real to say. Two people replied since last week and are waiting for you personally.
Waiting for you personally
- Dana Whitfield · NorthpayReplied
To review
- Hannah Cho · Head of Engineering, LedgerlineFits
“Hannah, congratulations on the Series B. Four open engineering roles is a lot to fill at once…”
- Marcus Lee · CTO, BrightwireFits
“Marcus, I saw the platform lead role. Last time I wrote about…”
Leo approves most, rewrites one with a note on what to change, and marks one as not a prospect. Then he presses Send. His assistant sends exactly the approved text, one person at a time, and checks each conversation again just before: anyone who wrote in the meantime goes back to Leo for a new draft. At the first warning from LinkedIn it stops, and says so.
Friday
Friday, from a phone
You: Who replied?
Assistant: Five. Two want a call next week: Hannah at Ledgerline and Raj at Tallyfi. They’re yours now; I won’t write to either of them again unless you ask.
Once someone replies, the relationship is Leo’s. His assistant drafts nothing there unless he asks.
Every conversation, kept
A year from now, the history with every person is still there: why they counted, what was sent and when, what they said, and whether they asked to be left alone. The next campaign, in a different market, starts from all of it.
More stories
- Candidate search Hands over a job description, reviews the shortlist, and their feedback steers the next round.
- A software team Every assistant knows what is waiting for its person. People decide what gets built, how it is split, and when it is done.
- What to post about The assistant keeps track of the topics in their area and what they have posted on, and drafts on what is worth posting today. They approve, edit or discard.
- Looking for a job Says once what they want. The assistant finds and screens openings, drafts what each one asks for, and applies to the ones they approve.
- Watching competitors Names the products and the competitors. The assistant matches them across sites, checks every week, and shows what changed.
- Every page, reviewed Sets the goal and the rules once. The assistant goes over every page, records what it found and fixed, and brings back only what needs them.