Author: AP

Turnover’s up, but profit isn’t keeping pace. It’s one of the clearest signs a business has outgrown the way it’s run, and the annual budget is often part of the problem.

Every business plans a budget once a year and then spends the next twelve months slowly discovering how wrong it was. Demand shifts, costs move, a supplier changes terms, and the annual number sits there anyway, technically still ‘the plan’, while everyone quietly works around it. I wanted something that adjusted as the year went on instead of a document we revisited once, apologetically, in November.

The real question wasn’t the number, it was the trigger

The useful shift wasn’t ‘forecast more often’. It was working out what should actually trigger a re-forecast, rather than just doing it on a calendar. I used AI to think through a simple set of rules: what movement in demand, cost, or timing was big enough to matter, and what wasn’t worth the noise of revisiting. That turned a vague instinct (‘things feel off’) into something specific enough to act on consistently.

Borrowing a purchasing principle that had nothing to do with budgets

Some of the best thinking here came from outside traditional budgeting altogether: principles built for managing stock and purchasing decisions, not annual planning. I had AI help me translate that logic into our own planning cycle: hold less certainty further out, commit later, and treat the forecast as a living range rather than a fixed target you’re judged against. It’s a different mental model to ‘hit the number’, and it took some explaining to land.

Writing it up so it survived contact with a room

A new way of forecasting is only worth anything if the people using it actually understand why it changed. I used AI to draft the explanation for the wider team (what was changing, why, and what it meant for how they’d plan their own areas) in plain language rather than finance jargon. Getting that framing right mattered more than the mechanics of the model itself.

It’s still a guess. Just a shorter one

None of this makes forecasting precise. What it does is shorten the gap between reality changing and the plan catching up, so decisions get made against something closer to the truth. That’s a more honest way to run a business than pretending a number fixed in January still means something in September.

We’re not IT people. We’re business leaders who’ve put AI to work across sales, finance, operations and marketing. We can set this up for you, train your team and hand it over, or keep running it for you each month.

Growing pains like this are normal in a business that has grown quickly, and they’re fixable. Take the free Growing Pains Check to see where your business stands in three minutes, or book a free call about a Growing Pains Diagnostic: half a day with you and your business, then a written 90-day plan with the three changes that matter most.

See how the workshops work →

Or book a free 30-minute call with us →

In a growing business, too much still runs on goodwill and the owner’s own relationships, suppliers included. This is one of the conversations that gets easier once the business has structure behind it, and AI can do much of the preparation for you.

Every business has a supplier relationship that eventually turns sour: a contract that reads one way on the cover page and another way in the clause nobody read at the time. The instinct when that happens is to get angry, or to get a solicitor involved straight away. Neither is usually the fastest route to an actual resolution.

Read the contract like you mean it

Most supplier disputes aren’t really about who’s right. They’re about who can point to the exact wording, in the right order, without getting emotional about it. I had a case recently where a termination charge was being applied that didn’t square with what we’d signed. The cover page said one thing, a clause seven pages in said another. I used AI to go through the whole contract clause by clause against the supplier’s own correspondence, and lay out exactly where the contradiction sat, in plain English, with the clause numbers next to it.

Write the email you’d want to receive

Once you know exactly where the disagreement is, the next job is writing to the supplier in a way that makes the disagreement obvious to them too. Not aggressive, just precise. I had AI draft the escalation email: what we’d agreed to, what they were now charging, and the specific clause that didn’t support it. No adjectives, no threats. Just the facts in the order that makes the other side’s position hard to hold.

Know when to stop doing it yourself

This isn’t a substitute for a solicitor when a dispute is genuinely heading somewhere serious. It’s what you do before that, so that if it does end up with a solicitor, they’re picking up a clean, dated, well-argued file instead of a fortnight of angry emails. Half the cost of a real dispute is the time spent getting the story straight after the fact. Getting it straight from the first email saves that, whichever way the dispute ends up going.

The paper trail is the point

None of this needed anyone to be a lawyer. It needed someone to read the contract properly, hold the two versions of the story next to each other, and write it down clearly enough that it couldn’t be talked around. That’s a couple of hours’ work with AI instead of a couple of days chasing your tail, and a much better starting position if it does end up in front of someone qualified.

We’re not IT people. We’re business leaders who’ve put AI to work across sales, finance, operations and marketing. We can set this up for you, train your team and hand it over, or keep running it for you each month.

Growing pains like this are normal in a business that has grown quickly, and they’re fixable. Take the free Growing Pains Check to see where your business stands in three minutes, or book a free call about a Growing Pains Diagnostic: half a day with you and your business, then a written 90-day plan with the three changes that matter most.

See how the workshops work →

Or book a free 30-minute call with us →

Most owner-MDs we speak to have the same problem: every decision still comes back to them. AI won’t fix that on its own, but used well it takes a surprising amount of the thinking, drafting and chasing off your desk. Here’s what that looks like in practice.

Most of what gets written about AI and business comes from one of two places: hype from people who’ve never run one, or caution from people who are scared of it. I run one. This is what actually happens when AI is genuinely part of how you work, not a slide in someone else’s strategy deck.

The board pack that tells the truth

When a month goes badly, the instinct in most businesses is to explain it away before anyone asks. What actually works is naming it plainly and putting it in context: one weak month inside a strong underlying trend, not a crisis dressed up as one. I use AI to help me write that version: the one that respects the board enough to just say what happened and what’s being done about it, without the spin and without over-apologising for a single bad month.

Numbers a shareholder can actually read

Finance teams are brilliant at producing numbers nobody outside finance can follow. I use AI to turn the underlying data into something a non-specialist shareholder can read in five minutes: a clean, normalised view of how the business is really performing, and an honest tracker of savings that have actually landed rather than been promised. It doesn’t replace the finance function. It makes what they produce usable by the people who have to make decisions on it.

Decisions that don’t have to land on my desk

Every growing business has the same problem: too many decisions still route through the owner, because nobody’s ever written down who’s allowed to decide what. I used AI to help build a proper decision rights framework: who owns pricing calls, who can approve spend, where the line sits before something needs to come to me. Writing it down is the boring part. Getting it written down properly, in language the team will actually read and use, is where it earned its keep.

Checking someone else’s numbers before they reach the board

A supplier’s report landed on my desk recently with a confident headline and numbers inside that quietly contradicted each other. Rather than take it on trust, or get into a back-and-forth about who was right, I had AI go through the report against the raw data underneath it, line by line, and show me exactly where the story broke down. That’s now just how I handle any report I didn’t build myself before it goes anywhere near a board pack: check it before you present it, not after someone else spots the hole.

Content in hours, not weeks

Marketing wants three weeks and a brief. Sometimes what you actually need is a landing page and a run of social content by Friday, tied to something happening in the world that won’t wait for a sign-off meeting. AI gets a first draft (on brand, genuinely usable) done in an afternoon instead of a fortnight. Someone still has to tighten it and make the final call on what goes out. But the blank page stops being the bottleneck.

None of this replaces judgement

This isn’t about replacing anyone or chasing a trend for the sake of it. It’s about getting the boring, load-bearing parts of running a business done faster and more honestly, so there’s more time left for the parts that actually need a person in the room. That’s the whole premise behind the workshops: not the theory of what AI could do for a business, but the practice of what it actually does when an owner-manager uses it every week.

We’re not IT people. We’re business leaders who’ve put AI to work across sales, finance, operations and marketing. We can set this up for you, train your team and hand it over, or keep running it for you each month.

Growing pains like this are normal in a business that has grown quickly, and they’re fixable. Take the free Growing Pains Check to see where your business stands in three minutes, or book a free call about a Growing Pains Diagnostic: half a day with you and your business, then a written 90-day plan with the three changes that matter most.

See how the workshops work →

Or book a free 30-minute call with us →