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The sales department on AI employees.

Two seats, both on the clock in Brad Hart’s company today. The SDR works the outbound and the follow-up. The application desk reads every application and hands the right ones to the closer with a suggested reply.

Sales is the department most founders are convinced an agent cannot do. It needs rapport, it needs tone, it needs reading the room. That is true of the close. It is not true of the ninety percent of a sales department’s week that is finding people, writing to them, following up, logging the call, scheduling the next step and handing the warm ones to the human closer with a note on where to pick up.

Seat 1: the SDR

Finds the people, writes to them, works the inbox, follows up on a schedule, and posts to X. Never forgets the third touch. Here is what each piece looks like with the rules written down.

Finding people.

From a definition of the ideal customer (industry, size, title, trigger event), the SDR searches the sources it has access to, scores each hit against the definition, and files the top ones in the CRM with the reason it picked them. It never adds anyone it would not have added if the owner were doing it.

Writing to them.

Three sentences. First one names the person. Second one names a thing happening in their business. Third one asks a question that is easy to answer. No templates in the sense of fill-in-the-blank; the voice is the owner’s, the structure is a rule.

Working the inbox.

Reads every reply, classifies it (interested, not yet, not interested, out of office, do not contact), writes a follow-up appropriate to the classification, and queues it. “Do not contact” replies drop the lead from every sequence immediately. “Not yet” replies get a note on the record with the date the person asked for.

Following up on a schedule.

Three touches on a known cadence. The schedule is one of the rules: day one, day four, day eleven. Day eleven is the one most humans skip, and the one that most often converts.

Posting to X.

Three posts a day in the owner’s voice, each one with the four-question copy test applied. Replies to any thread the owner has engaged with before, in the owner’s tone.

Seat 2: the application desk

The desk kicks in when someone fills in the application form. It does five things.

What stays human

The number that matters

Not the number of touches. Not the number of replies. The number of applications per week from the right kind of person. If the SDR and the application desk are doing their jobs, that number is boring. It goes up a little every week. If it drops, the agents surface the drop before you notice it, with the three most likely reasons attached.

“An application desk that reads every application in two minutes is the thing most founders say they wish they had, right before they tell you they are too busy to install it.”

Where to start

If sales is your lowest-scoring department, hire the application desk first. It is the fastest to install, the easiest to evaluate (did it classify the applications correctly, did the suggested replies land) and the one with the clearest ROI: every hour the closer gets back is spent on the next real call.

Frequently asked questions

Will the SDR sound like me?

Yes, if you spend an afternoon with it reading your five best outbound notes and your three worst. The rules write the voice down. If an agent sounds generic, it is because the rules are generic.

Can it book calls on its own?

Yes, with a hard upper bound on the owner’s calendar and a rule about which prospects qualify for a booking link. The hard bound is the owner’s decision, not the agent’s.

What about CRM data entry?

The SDR and the application desk both write to the CRM. Every lead has a reason it was added, every status change has a timestamp, every note has a source. The CRM is the ledger, not the agent’s memory.

How many people do I need before this works?

A one-person company. The agents work the same whether you have one closer or ten. They scale on calls per week, not on headcount.

Score your own company

Twenty-four questions, six departments, 0-24 score. The lowest-scoring department is the first seat to fill with an AI employee. Free, one email.

Send me the scorecard