Skip to content

AI guides by industry: 17 sectors, each with its own bottlenecks and the automations that fix them

AI guides by industry: 17 sectors, each with its own bottlenecks and the automations that fix them

We're launching /industries, a new section with automation guides for each sector. Instead of talking about AI in the abstract, every guide gathers the real pain points of a specific sector and the automation cases that solve them, along with the AIGiner services that best fit each one.

17 sectors, with concrete cases

There are now guides for 17 sectors, including Real Estate, Legal, Retail and Fashion, Tourism and Hospitality, Healthcare and Medicine and HR and Recruitment, in addition to finance, e-commerce, logistics, education and others.

  • In Real Estate, how to automate instant replies to leads from listing portals, automatic qualification and viewing coordination.
  • In Legal, how AI reviews and compares contracts, flagging what changed against the firm's standard template, and how it enables natural-language search across case files.
  • In Retail and Fashion, Tourism and Hospitality, Healthcare and Medicine and HR and Recruitment, equivalent guides with their own pain points and use cases.

Each guide links to the specific Solutions (and, when it applies, Labs) services that solve those cases, so it's clear at a glance what you can ask for today without reading the whole catalog. Every sector also has its own FAQ section, with the questions businesses in that sector actually ask before automating anything.

This isn't generic content with the sector's name swapped in: every guide starts from the real pain points businesses in that sector tell us about when we talk to them, and it details what to automate first, not a long list of possibilities with no order of priority.

Why by industry and not in the abstract

Talking about "AI for businesses" in generic terms sounds good but doesn't help anyone decide anything: every sector has its own bottlenecks, its own vocabulary and its own urgencies, and a guide that works equally well for a real estate agency and a law firm, in practice, doesn't fully work for either. That's why we chose the slower path: writing sector by sector, based on what businesses actually tell us when we talk to them, instead of a list of recyclable use cases with the sector's name swapped in at the start of each sentence.

The rest of the catalog also covers Finance, E-commerce, Logistics, Education, Construction, Restaurants, Consulting, Manufacturing, Insurance, Automotive and Nonprofits and the third sector, among others. A few examples of what you'll find in those guides:

  • In Finance, how to automate transaction reconciliation and the recurring reports that today get built by hand every month-end close.
  • In E-commerce, how to automatically answer the repeated questions about orders, returns and warranties, leaving a human agent only the cases that truly require judgment.
  • In Logistics, how to track shipment status and flag issues before the customer has to ask about them.
  • In Education, how to manage enrollment queries and the repeated questions of every admissions cycle without the academic team having to answer the same thing a hundred times.

An example to make it concrete

Imagine a tax advisory firm that receives dozens of similar questions from clients every quarter about deadlines, pending documentation and case status. Its sector guide doesn't propose "automating with AI" in the abstract: it points out that this flow of repeated questions is the first candidate, with an agent that answers frequently asked questions and leaves the team only the cases that truly need professional judgment. This is a hypothetical example, but it's exactly the kind of concrete recommendation we aim for in every guide, instead of a list of possibilities with no order of priority.

The guides will keep expanding with new sectors and more cases within the ones that already exist, following the same criterion we always apply at AIGiner: start from the business's real problem, not from the technology we want to sell.

This section is built on the same principle that guides the company's two divisions: in Solutions we automate a business's day to day, and in Labs we bring that same technology to brand communication. That a law firm needs different things from a real estate agency or a retail brand isn't a minor detail, it's exactly what makes a recommendation genuinely useful instead of generic advice anyone could repeat.

Check your sector's guide in Industries, or request a free audit if you'd rather have a direct conversation.