Statistics

Statistics

Every number this site stands behind, with its source. Quote them freely; a link back is appreciated.

Every number this site stands behind, with its source. Quote them freely; a link back is appreciated.

Time

  • 2–3hours a day spent on email by owners and support staff

    Owners and support staff at small businesses spend two to three hours of every working day reading 50 to 200 emails, extracting the data and typing the same replies by hand.

    Source: AI Automation Market Report and Practical Guide 2025–2026

  • 6–12hours a week spent on invoice administration

    An average small or medium-sized business spends six to twelve hours a week on invoice administration: entering supplier invoices, matching bank payments and chasing overdue receivables by hand.

    Source: AI Automation Market Report and Practical Guide 2025–2026

  • 5–10hours a week lost to manual quoting

    A typical small or medium-sized business loses five to ten hours a week to manual quoting: recalculating prices and rebuilding the same proposal document for every incoming enquiry.

    Source: AI Automation Market Report and Practical Guide 2025–2026

  • 30–60minutes to write one custom quote by hand

    Writing one custom quote by hand takes a small business thirty to sixty minutes, from reading the enquiry and pricing the items to formatting the document and sending it out.

    Source: AI Automation Market Report and Practical Guide 2025–2026

  • 30–45%share of staff time spent on repetitive robot work

    At an average small or medium-sized business, thirty to forty-five percent of staff working time goes on repetitive robot work: copying data between systems, retyping, sorting and routine follow-up.

    Source: AI Automation Market Report and Practical Guide 2025–2026

  • 20–30%share of office time spent handling documents

    Twenty to thirty percent of all office time at a small or medium-sized business goes on document handling: filing, renaming, searching, reading contracts and moving attachments between folders and systems.

    Source: AI Automation Market Report and Practical Guide 2025–2026

  • 15–25%share of working time lost to scheduling chaos

    Fifteen to twenty-five percent of a professional's working time is lost to scheduling chaos: booking ping-pong, rescheduling, confirming appointments and rebuilding the day's route after a cancellation.

    Source: AI Automation Market Report and Practical Guide 2025–2026

  • 1–15hours saved per week, per automated function

    Across the 267 automations in our configurator, a single automated function gives a small business back between one and fifteen hours of manual work every week, depending on its volume.

    Source: aiu. configurator catalog, 267 solutions

  • 4hours saved per week by the average automation in the catalog

    The average automation in our 267-solution catalog returns about four hours of manual work per week, which is why a first project usually combines two or three of them rather than one.

    Source: aiu. configurator catalog, 267 solutions

  • 30–60seconds within which a missed call is answered by text

    Missed-call text-back sends a personal text message thirty to sixty seconds after a call the business could not answer, while the caller is still deciding whom to ring next.

    Source: AI Automation Market Report and Practical Guide 2025–2026

Cost and payback

  • 40 EURstatutory collection cost flat fee on an overdue B2B invoice in Hungary

    In Hungary a company may charge a statutory forty-euro collection cost flat fee on every overdue business-to-business invoice, which an automated dunning chain applies from the fifteenth day of delay.

    Source: Hungarian statutory collection cost flat fee (Civil Code), as applied by the aiu. receivables automation

  • 15–35%conversion lift from calls that would otherwise be lost

    Micro businesses and service providers that answer every missed call with an automatic text message report a fifteen to thirty-five percent lift in conversion from calls that would otherwise be lost.

    Source: AI Automation Market Report and Practical Guide 2025–2026

  • 15–25%revenue lift from reactivating a dormant customer database

    Reactivating a dormant customer database, where past buyers get a short personal message and AI handles the replies, lifts revenue by fifteen to twenty-five percent with zero advertising spend.

    Source: AI Automation Market Report and Practical Guide 2025–2026

  • 20–30%rise in average order value with three-tier quotes

    When a quote is generated in three tiers instead of one, sixty-five to seventy percent of buyers choose the middle option and the average order value rises by twenty to thirty percent.

    Source: AI Automation Market Report and Practical Guide 2025–2026

  • 20–35%share of revenue service businesses lose to no-shows

    No-shows cost service businesses such as salons, clinics and garages twenty to thirty-five percent of revenue, because fifteen to twenty-five percent of booked clients simply forget the appointment.

    Source: AI Automation Market Report and Practical Guide 2025–2026

  • 70–80%drop in no-shows with an automated reminder chain

    A staged reminder chain, email at forty-eight hours and an interactive text at twenty-four hours with instant rebooking and waitlist fill, cuts no-shows by seventy to eighty percent.

    Source: AI Automation Market Report and Practical Guide 2025–2026

Adoption

  • 267concrete AI automations in the aiu. configurator catalog

    Our configurator catalogues 267 concrete AI automations across five business types and eight business functions plus cross-cutting add-ons, so a company can pick the ones matching its own daily work.

    Source: aiu. configurator catalog, 267 solutions

  • 90documented step-by-step automation recipes

    The workflow library documents 90 step-by-step automation recipes grouped into the thirteen categories of the 2026 market report, each with its steps, tool roles and expected result.

    Source: aiu. workflow library, the 13 categories of the 2026 market report

  • 10automations ranked as the most common at micro and small businesses

    The 2026 market report ranks ten AI automations as the most common at micro and small businesses, ordered by how widely they are implemented and how quickly they pay back.

    Source: AI Automation Market Report and Practical Guide 2025–2026

  • 76catalog automations that can go live in the first two weeks

    Of the 267 automations in our catalog, 76 are quick wins a small business can have running within the first fourteen days, without changing any existing process first.

    Source: aiu. configurator catalog, 267 solutions

  • 35days in the report's rollout roadmap for a micro business

    The market report's rollout roadmap runs 35 days: quick wins and immediate money on days one to fourteen, daily working hours freed on days fifteen to thirty-five, advanced systems afterwards.

    Source: AI Automation Market Report and Practical Guide 2025–2026

  • 1,000–10,000untouched past customer contacts held by a typical SME

    Most small and medium-sized businesses hold between one thousand and ten thousand past customer contacts that nobody has touched for six to eighteen months, the cheapest revenue source they own.

    Source: AI Automation Market Report and Practical Guide 2025–2026

Channels

  • 62%share of callers who leave no voicemail at all

    Sixty-two percent of people who reach a company's voicemail leave no message at all: they hang up and call the next result on the search page instead.

    Source: AI Automation Market Report and Practical Guide 2025–2026

  • 40–60%share of unanswered callers who ring a competitor

    Forty to sixty percent of callers who are not answered immediately ring a competitor instead, which makes an unanswered phone the most expensive daily leak at a small service business.

    Source: AI Automation Market Report and Practical Guide 2025–2026

  • 98%open rate of business text messages

    Text messages are opened by ninety-eight percent of recipients and answered by forty-five percent, most of them within three minutes, a reach no other business channel comes close to.

    Source: AI Automation Market Report and Practical Guide 2025–2026

  • more replies to a quote follow-up by text than by email

    A quote follow-up sent as a text message gets three times as many replies as the same reminder sent by email, which is why automated follow-up chains start on the phone.

    Source: AI Automation Market Report and Practical Guide 2025–2026

  • 97%share of website visitors who never fill in a form

    Ninety-seven percent of website visitors never fill in a form, so a company that captures leads only through its contact form sees almost nothing of its actual demand.

    Source: AI Automation Market Report and Practical Guide 2025–2026

  • 500 mslatency below which an AI phone agent answers

    Current AI phone agents answer with under five hundred milliseconds of latency, which is why the caller experiences a natural Hungarian conversation rather than an obvious automated menu.

    Source: AI Automation Market Report and Practical Guide 2025–2026

Quality and accuracy

  • 98%field-level accuracy reading clean invoices

    Intelligent document processing reads clean invoices at above ninety-eight percent field-level accuracy; validation rules, such as a total that does not add up, send the rest to a person.

    Source: aiu. glossary: intelligent document processing (IDP)

  • 99%share of incoming payments matched to open invoices

    Fuzzy bank reconciliation identifies ninety-nine percent of incoming payments against open invoices even when the customer typed the wrong reference or transferred a rounded amount.

    Source: AI Automation Market Report and Practical Guide 2025–2026

  • 2–8%share of processed documents that still need a person

    After the first month of tuning, only two to eight percent of processed documents still need a person to look at them; the rest run end to end without human intervention.

    Source: aiu. glossary: intelligent document processing (IDP)

  • 99%speech-to-text accuracy in noisy field conditions

    Speech to text reaches ninety-nine percent accuracy on a job site or in a vehicle with engine and workshop noise filtered out, so field staff can dictate instead of typing.

    Source: AI Automation Market Report and Practical Guide 2025–2026

The complete guide · All 267 solutions