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What should a 10–50 person firm automate first?

GUIDE · WHERE TO START · 8 MIN

Facts on this page verified August 2026.

The short answer: start where money is already leaking on a clock

Automate the leak that is already costing you money on a clock you can measure. In almost every small firm that is an unanswered call, a next-day first reply, an appointment slot that empties, or a document somebody retypes. Pick the one you can state as when X, do Y, and price today. The rest can wait.

Why the usual answer to this question is useless

Most advice on this question is a list of tools. It tells you to find something repetitive and start there. That is how a firm ends up with a website chatbot nobody asked for and a document robot that saves four minutes a week, while the phone rings out on a Tuesday afternoon.

What follows is a selection test, not a shortlist. It runs on your own numbers and it is meant to be hard to pass. A process that cannot clear all four questions below will cost you more attention than it gives back, and attention is the scarce thing in a firm this size.

One note on the numbers before the test. Every figure on this page carries its source and its date at the foot of the page, and the ones that come from our own arithmetic rather than from a study say so next to the number. None of them is a client result.

The four questions a first automation has to survive

  1. Does it happen at least weekly? Monthly work does not generate enough evidence to tune against. A weekly rhythm gives you four observations a month, which is enough to catch a mistake before it has hardened into a habit.
  2. Would two of your people do it the same way? If they would not, the process is still being argued about internally and you would be encoding one person's opinion at the other's expense. Settle that on paper first. It is far cheaper than settling it in a rebuild.
  3. Can you state it as when X, do Y? A trigger and an action, in one sentence. When a call goes unanswered, send a text with a booking link. When a quote has sat for three days, chase it once. If describing the rule takes a paragraph of exceptions, the rule is not ready.
  4. Can you name what it costs you today, in euros? Not a feeling. A number you can rebuild from your own call log, diary or inbox. If you cannot produce it, you will never be able to say whether the automation worked, and neither will the person you paid to build it.

Three yeses and a shrug is not a pass. The fourth question decides whether you have a project or an experiment with a result, and it is the one almost every disappointing first automation skipped. If you have no before-number, the free analysis produces a first version of one from your public pages in about three minutes.

The four candidates, in the order they usually pay

Start with the phone, because the phone is where money leaves first and quietest. Owners are consistently wrong about how many calls their firm answers, and the direction of the error is always the same.

97% believed · 66% measured

What home-service firms think their answer rate is, against what it measured at.industry studySource: Service Direct, 2019

That gap is not laziness, it is physics. Nobody answers a phone from a roof, a treatment room or a client meeting. The call does not wait: it goes to the next firm on the list, and that firm books it. The missed-call calculator turns your own call volume and job value into a monthly number, and the trades analysis walks the same leak end to end.

Second: the speed of the first reply, which is a different leak from the missed call. The enquiry did arrive, somebody did read it, and the answer went out tomorrow morning. The cost of that delay has been audited at a scale no small firm could reproduce.

~60× less likely

Reaching a live conversation when you reply the next day instead of within the hour.HBR audit, 2,241 firms, 1.25M leadsSource: Harvard Business Review, 2011

This one is usually the cheapest to fix and the easiest to measure. A first reply that goes out in under a minute, every time, from an agent that can see your calendar. The speed-to-lead calculator prices the delay you have now against the delay you would have after.

Third: the appointment that empties. If you sell time in slots, a no-show is not a nuisance, it is inventory you cannot resell. The risk is not flat either, which is the part most reminder systems ignore.

~7% → ~33%

No-show rate same-day against two weeks out. Risk climbs with booking latency.practitioner-reported modelSource: Ours, not research (Kairox Consulting), 2026

The fix follows the curve, not the calendar. Shorter booking latency where you control it, a reminder cadence matched to the lead time where you do not, and one-click rebooking so a cancellation becomes a slot somebody else takes. The no-show calculator prices your version, and the dental analysis shows the arithmetic on a two-chair practice.

Fourth: the documents somebody retypes. This is the slowest of the four to pay back and the most popular to start with, which is exactly the wrong way round. It is worth doing. It is worth doing after the three above, unless your firm is genuinely drowning in paper.

≈ 15 hours a month

150 invoices at about six minutes each, typed by hand.worked modelSource: Ours, not research (Kairox Consulting), 2026

Fifteen hours is real money, but it is money you are already spending on salary. The missed call is money you never see at all, which is why it ranks higher. If invoice typing genuinely is your worst leak, the invoice-hours calculator prices it and the tax-advisor analysis shows where the handover to a human has to stay.

The five things not to automate first

Every article on this subject gives you a list. Almost none gives you the exclusions. These five look attractive and are wrong for a first build. Four of them we have been asked for by name.

  • Judgement. Anything where the right answer depends on reading a person, weighing a risk, or knowing a history that lives in somebody's head. A machine can prepare that decision and put the facts in front of you in ten seconds. It should not make it.
  • A process your team is still arguing about. Automation makes a process faster and much harder to change. If the shape of the work is contested, you are buying an expensive way to win an internal argument, and the losing half will route around it inside a month.
  • Anything you cannot measure before and after. Without a before-number there is no result, only an impression. Impressions are what get automations quietly switched off two quarters later, because nobody can defend the line item.
  • The thing that is merely annoying. The loudest chore in an office is rarely the most expensive one. Annoyance is a poor proxy for cost, and the tasks people complain about are the short visible ones, not the slow leak nobody sees.
  • A chatbot on your website. It is the most visible automation you can buy and usually the least valuable at this size. It answers questions that were not blocking a sale, and it touches none of the four leaks above: not the phone, not the reply, not the slot, not the invoice.

How to run the first one so it can be judged

One leak, one number, one acceptance test that you write. Not the builder. If the person paying cannot state the sentence that makes this a success, the project has no finish line and will be argued about instead of measured.

Ten working days, and a way back. A first build that takes a quarter is not a first build, it is a programme. Ours run to a first working version in ten working days, and each ships with the answer to the question nobody asks until 02:00: what happens when this breaks. Usually the old path is still there and goes back on in a minute.

Then expand, or stop. Both are acceptable outcomes and only one of them is available to a firm that never wrote the number down. Stopping after one honest experiment costs you a fortnight. Expanding a build nobody can prove costs you the next three years of trusting any of it.

Which leaves the question this page opened with, and why it is worth paying to answer properly. Choosing well means reading your call paths, reply times, booking latency and document volume together rather than guessing at them. The €29 Check does that read the same day and returns the candidates ranked for your firm, with the arithmetic shown. It is the cheapest way we know to stop the first automation being the wrong one.

Every source on this page

Each claim above is numbered to one of these. Open them and check.

  1. 1. Service Direct: 2019 Home Service Call Performance Report (2019)

    research

    1,000 recorded calls to 94 US home-service firms across 42 categories, scored by hand. The publisher says openly that the calls came from its own pay-per-call campaigns, so read it as a large sample of one channel rather than a census of the trade.

  2. 2. Harvard Business Review: The Short Life of Online Sales Leads (Oldroyd, McElheran and Elkington) (2011)

    research

    Universally cited as an audit of 2,241 US firms and 1.25M sales leads. We opened the article page on 14 August 2026 and confirmed the authors and the date; the body text is paywalled and we did not re-read it, so that population is the one the article is cited as reporting rather than one we verified. It measures the odds of reaching and qualifying a lead by response time, not revenue, and it predates the current generation of AI entirely.

  3. 3. Ours, not research (Kairox Consulting): The no-show curve, a practitioner-reported model, in our own stat register (2026)

    market observation

    This is our number, not somebody else's, and it is listed here so nobody mistakes it for a study. Practitioner-reported: we could not trace this shape to a named publisher when we checked in August 2026, so we publish it as ours. The register page carries the derivation and marks it as a model rather than research. Treat the direction as reliable and the exact percentages as ours.

  4. 4. Ours, not research (Kairox Consulting): The invoice-hours worked model, shown in full on our own calculator (2026)

    market observation

    Also ours, and arithmetic rather than research: 150 invoices a month at about six minutes of typing each. The calculator lets you replace both assumptions with your own numbers.

How do I know a process is stable enough to automate?

Write the rule as one sentence in the form when X, do Y, then hand it to two people who do the work and ask them to mark where it is wrong. If they mark different places, it is not stable yet. If they both mark the same edge case, that edge case is your handover to a human and the rest is ready to build.

What if we do not have clean data?

Almost nobody does, and the four candidates above were chosen partly because none of them needs it. A call log, a calendar and an inbox are enough to price all four leaks. Data cleaning is a real project, but it is not a first automation and it should not be allowed to block one.

Should we start with a chatbot?

Usually not. A website chatbot is the most visible automation and the least connected to the places a small firm actually loses money. If people are asking the same twenty questions and waiting two days for an answer, an answer desk is worth building. If they are phoning instead, fix the phone first.

How long until the first automation pays for itself?

Divide the build cost by the monthly leak and you have the number of months. That is the whole calculation, and it is why the euro figure in question four is not optional. If the leak is small enough that the answer runs past a year, you picked the wrong candidate rather than the wrong supplier.

What if we pick the wrong one?

Then you find out in a fortnight, for the cost of a fortnight, which is why a first build is scoped small and kept reversible. The failure that actually hurts is the one nobody measured: it stays switched on for a year before anyone admits it did nothing.

Read next

Missed-call cost calculator

Put your own call volume and job value in and see the monthly number for candidate one.

Speed-to-lead calculator

What a next-day first reply costs against a first reply inside the hour.

Why AI projects fail small firms

The other half of this question: how to run the first one so it does not join the failure statistics.

The €29 Check

The same read, done on your firm rather than in the abstract, back the same day.

Stop guessing which leak is biggest.

The Check reads your call paths, reply paths, booking paths and document paths, then ranks the candidates for your firm with the arithmetic shown.

Get the €29 Check

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