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AI and automation
5 min readPublished on June 19, 2026Updated on September 09, 2026

AI in Business 2026: Twelve Processes, Honestly Assessed

Simon Heistermann

Simon Heistermann

Owner

This article was written with AI assistance and editorially reviewed.

What usually gets automated is whatever is easiest to automate, not whatever costs the most time. That is why plenty of businesses run three tidy workflows while receipts still get sorted by hand, evening after evening. The payoff is decided by the order you pick, not by the number of tools - and for some of the most popular candidates, the effort is not worth it yet anyway.

In short

Not every process deserves automation. What happens regularly, follows clear rules, and costs noticeable time is a good candidate. What happens rarely or requires real judgment is better left with a person.

What this covers - and what it doesn't

This isn't about replacing employees. It's about handing recurring tasks with clear if-then logic to an AI feature or an automated workflow. That saves time, reduces errors, and stops inquiries, receipts, or emails from piling up.

One rule of thumb decides the candidate pool: automate what happens often, follows rules, and costs noticeable time. Rare, one-off, or heavily judgment-dependent decisions stay with a person - AI doesn't make a better choice there, it just makes an unreviewed one faster.

Sales and inquiries

Four processes touch the first point of contact with potential customers:

  • Qualifying inquiries. Incoming form or email inquiries get pre-sorted against defined criteria - budget, decision authority, matching industry. High benefit, moderate effort - the criteria need to be defined cleanly once.
  • Preparing quotes. A first draft quote is generated from a few bullet points using stored text blocks, which a person then reviews and approves. High benefit for businesses sending many similar quotes; approval always stays manual.
  • Scheduling. Instead of email back-and-forth, a booking tool suggests slots and adds them straight to the calendar. High, immediate benefit, low effort.
  • CRM data hygiene. New contacts from forms or emails land in the CRM automatically and without duplicates. High benefit, moderate effort for the one-off integration setup.

For a concrete look at automating the inquiry, appointment and invoice for a trades business specifically, see Automating Processes in the Trades.

Administration and finance

Three more processes sit in day-to-day admin work:

  • Receipt capture. A photographed or forwarded receipt gets read for amount, date, vendor and tax rate, then filed under the right category. Very high benefit, because it replaces classic tedious work.
  • Reporting. Instead of pulling numbers from several sources by hand, a workflow gathers the data automatically and summarises it. Moderate to high benefit; the numbers still need checking.
  • Email sorting. Incoming mail gets categorised by topic, sometimes with a draft reply attached. High benefit for a full inbox; replies should never go out unreviewed.

Communication and service

  • Support chatbot. A chatbot on the website answers recurring questions around the clock and hands off more complex cases. The benefit depends directly on how many similar questions actually come in - a bot that's rarely needed doesn't justify its upkeep. We go into that calculation in AI chatbot: build or buy.
  • Content drafts. Social posts or newsletter outlines come out as a first pass that a person edits and approves. Moderate benefit, doesn't replace domain expertise.
  • Translations. Quotes or website copy can be translated at a quality usually sufficient for everyday business use. Legal text still needs professional review.

Knowledge and onboarding

  • Knowledge base. Contracts, manuals and internal documents become searchable; questions in plain language return an answer with a source. High benefit once several people need access to the same knowledge.
  • Onboarding. New employees or customers get guided through a scripted sequence of welcome emails, checklists and common questions. The real effort is writing the sequence down properly once - after that it largely runs itself.
ProcessBenefitEffort
Qualifying inquirieshighmoderate
Schedulinghighlow
Receipt capturevery highlow to moderate
Email sortinghighlow
Support chatbotdepends on volumemoderate
Onboardingmoderate to highmoderate

Automating internally is not the same as being found externally

"AI for business" usually gets used to mean two different things that constantly get mixed up. The twelve processes above work inward: they make existing workflows faster and less error-prone. Whether ChatGPT, Perplexity or Google AI Overviews mention a business at all when potential customers ask is a completely different question - covered in our foundational article GEO Instead of SEO. Both areas belong in a sound strategy, but they need separate planning and separate budgets.

Concrete steps for the next 90 days

  • Days 1-30: track for one week which tasks recur often, follow clear rules and cost noticeable time; pick the two or three strongest candidates
  • Days 31-60: define clear criteria and rules for the first process, choose a suitable tool and run a test
  • Days 61-90: evaluate whether real time is actually saved, refine the process, then move on to the next candidate

Conclusion

Not tackling all twelve processes at once isn't a shortcoming - it's the safest way to actually finish something. Finding the two or three processes with the biggest time drain and starting there teaches what a tool really does on a real case before scaling out. For how to choose the right tool, see Make, Zapier or a custom build; for a step-by-step start, see Process automation: getting started. For an assessment of which process has the biggest lever in your business, check our pricing page or get in touch directly.

Want to know which process is worth automating first at your business?

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Simon Heistermann

Simon Heistermann

Owner

Heistermann Solutions is the web studio run by Simon Heistermann. We build custom websites for small and medium-sized businesses that want to achieve more online.

Every article grows out of day-to-day project work and is reviewed editorially before publication.

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