Christian Campbell

I put automation into the work your team does by hand, and measure it against the people doing it today.

For owners of businesses doing $5–50M a year who already pay for AI and want someone to say where it goes, build it, and keep it running — without it landing on them.

Is this you?

This is for you if

  • You own the business, or you're about to. It's your money and your call.
  • Your team does the same steps all day — the same questions, the same forms, the same calls.
  • You already use AI and pay for it. You just don't know where it goes in your business.
  • You can point at the number this process moves.

This isn't for you if

  • You'd need convincing that anything is wrong. I don't do convincing.
  • The work changes every time and there's no pattern in it.
  • You want someone to join your dev team. That's a different job and I'm not it.

Proof

The numbers so far

+7 pts

A booking script, run by text, beat the phone team

A national direct-sales recruiting operation ran the same booking script by phone. The agent I built ran that script by text across about 2,500 recruits and booked around 74% — roughly 7 points better than the human team.

Read the write-up →

17

Seventeen buyers out of a list somebody gave up on

523 dead leads in, 17 qualified buyers back out, about $200 of model cost to find them. The team closed about $2,000 of business from those; the agent found them, the people closed them.

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45 min

An analyst's quarter of research, done before lunch

Building a prospect list of institutions that could buy an investment strategy used to mean a $16,500-a-year database or an analyst and a few months. From public SEC and IRS filings, in 45 minutes of compute and zero dollars of data: 809 institutions and 4,697 named contacts, each tied to the filing it came from. An independent check scored the list 94% precise and caught all 10 planted fakes. Leads, not engaged leads — the write-up is honest about that.

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6

Two years of support tickets, boiled down to six problems

A team fixing problems reactively, with no view of what was actually driving ticket volume. A pipeline read thousands of support conversations, two years of them, summarized each, and clustered them into the six product problems behind most of the tickets.

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20¢

One conversation, priced to the penny

Nobody knew what one agent conversation actually cost. Two weeks of billing logs, 42,405 requests, answered it: about 20 cents per recruit conversation, roughly $40 on a weekday. The same logs showed the real ceiling wasn't speed, it was the spending cap, and that one line in the prompt was defeating the provider's cache and costing about half the bill.

Read the write-up →

Neither number is a promise. What I promise is that you get one of your own, on your work. Other things I've built →

Two ways in

You know something is costing you

Start with a planning meeting

One meeting to name the bottlenecks and the number each one is tied to. You walk away with a written plan. Then I build it, and keep it running, if you want me to. Billed for time. Each piece ends.

See how it works

You want to see it work first

The Free 2-Week Proof Run

Pick one job your team does by hand. I build it, it runs on your real work for two weeks, and we put its numbers beside your team's. Nothing upfront. You keep the build and the numbers either way.

Start a Proof Run

Remote · US Central Time · One proof run at a time