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Framework 5 min read

The only three ways to increase profit (and how to point AI at them)

Every business looks different from the outside. A law firm runs nothing like an e-commerce brand, and a landscaping company runs nothing like a SaaS startup. Underneath the variety, profit works identically everywhere, and that is genuinely useful when you are trying to judge an AI proposal in a field you do not know well.

By Daniellle Bhatt · Updated 13 August 2026 · Plain text

There is no fourth option

There are three ways to increase profit. Get more customers. Make each customer worth more. Cut what it costs to deliver. That is the complete list, and it always has been.

Every profitable initiative any business has ever run falls into one of them. A new campaign is more customers. A premium tier is higher customer value. Streamlining operations is lower cost to deliver.

You do not need to understand every detail of an industry to be useful in it. You need to know which of the three has the most room, and what is standing in the way.

One: get more customers

The most common leak here is not marketing spend, it is response time. Most businesses lose more deals to being slow than to being expensive, and speed to lead is one of the few things a system fixes completely rather than partially.

The second is visibility with a shape. A services business that covers forty suburbs and ranks in one is invisible to most of its own market. That is a coverage problem, and coverage is exactly the kind of thing that scales past what a person can write by hand.

  • Lead research and enrichment before anyone picks up the phone.
  • Follow-up sequences that never get forgotten on a busy week.
  • Search coverage per location and per service, not one page for everything.
  • Being present in the AI tools people reach for before they reach for Google.

Two: make each customer worth more

The second sale to an existing customer is the cheapest revenue in the business, and it is the one most often left on the table because nobody has time to notice the opportunity.

This is where AI is genuinely under-used. Not writing upsell emails, but spotting the pattern: which customers look like the ones who bought again, which accounts have gone quiet, which service pairs with which.

  • Better qualification, so you win more of the work that is worth having.
  • Onboarding that is consistent rather than dependent on who is free.
  • Retention signals surfaced before the customer has already gone.

Three: cut what it costs to deliver

The clearest wins live here, and they are almost never headcount cuts. They are hours back from work nobody wanted to do: re-keying data between systems, rebuilding the same report every Monday, preparing a quote from scratch when eighty per cent of it is identical to the last one.

The framing that matters to a business owner is not "we removed a person". It is "the same team now produces two or three times the output, and stopped doing the part they hated".

  • Quoting and proposal preparation.
  • Data moving between systems that were never designed to talk.
  • Recurring reporting assembled by hand from several sources.
  • Research that a person does the same way every time.

How to use this on a sales call

Ask whoever is proposing the work which of the three they are moving, and by roughly how much. A good answer is specific and slightly uncomfortable, because it can be checked later. A bad answer talks about capability, transformation and future-proofing.

Then ask what they are recommending you do not do. Anyone who thinks every process in your business is worth automating has not looked at your business.

Want this applied to your business?

Thirty minutes. You describe how the business runs, we tell you which processes are worth automating and which are not. You will get a straight answer either way, and there is nothing attached to it.