AI use cases for small businesses

Write approved answers to your 20–30 most common questions, plus your policies and tone rules, and let an AI tool suggest replies that an agent reviews, edits and sends. Start with low-risk topics such as delivery times and returns. Keep a person on every reply at first, and automate only where answers are stable and checked.

Collect your real policies first: cancellations, check-in, payments, pets, accessibility. Put them in one current source, then connect an assistant that answers only from that source and says when it does not know. Start internally with staff, then open it to guests with a clear handover to a person. Review wrong answers weekly and fix the source, not just the bot.

Define a short list of categories and urgency levels from your real inbox, such as delivery delay, damaged goods, new order or invoice question. Add an AI step to your email or help-desk tool that labels each incoming email, pulls out the order or tracking number and routes it to the right person. Keep a human check on urgent and uncertain cases.

Start with an assistant that answers common booking questions from your own information: rooms or tables, prices, policies and opening hours. Connect it to your booking system in read-only mode, so it shows real availability and never invents it. Let it collect the request and pass it to a person or your booking engine to confirm. Always offer a clear way to reach a human.

Record or transcribe calls only with a clear notice to the caller and a lawful basis. Let AI turn each call into a short summary with the request, any promise made and the next action, then save it to your CRM or ticket system. Add suggested answers from your approved policies so staff can reply faster. The person on the phone always decides what to say.

Start with a few routine call types, such as opening hours, directions, appointment changes or order status. Set up a voice agent that tells callers it is an AI, answers only from approved information and transfers to a person whenever it is unsure. Ask for consent before recording. In clinics and practices, keep it strictly to admin tasks and away from medical questions.

List the fields you retype today, such as supplier, VAT number, invoice number, date, amounts and order reference. Test an AI document tool on 50 real invoices or delivery notes and measure accuracy per field. Send the extracted data to a review screen or spreadsheet, not straight into accounting. First check whether the data already reaches you in structured form through myDATA or e-invoicing.

Clean the spreadsheet first: one header row, clear column names, no merged cells. Then ask an AI assistant specific questions, such as which products lost margin this quarter or which customers pay late. Ask it to show the formula or steps it used, and check key numbers yourself. Use it to draft the commentary for monthly reports, not to make the decisions.

Write a short checklist of the clauses that matter to you, such as payment terms, liability, termination and automatic renewal. Upload the contract to a business AI tool and ask it to check each clause against your checklist, quote the exact text and compare it with your standard version. Use the result to prepare questions. AI flags clauses, but your lawyer decides.

Collect the quotes for one purchase, whatever their format. Ask AI to pull the same fields from each one: unit price, quantity, delivery time, payment terms, validity, warranty and extra charges. Put them in one comparison table and ask AI to flag what is missing or unclear. Check the key numbers against the original quotes, then make the decision yourself.

Pick one trusted source of sales data, such as your e-shop, POS or ERP export. Clean it and write down what each column and key term means, like "net sales" or "returning customer". Then use an AI tool that can read that data and answer plain questions with a table or chart. Check its first answers against reports you already trust.

Use AI freely to draft clear, inclusive job ads, interview guides and candidate emails from your own role description. Be far more careful with screening: AI that filters, ranks or evaluates candidates is high-risk under the EU AI Act. Keep people reading applications and making every decision, and check with your legal advisor before any AI touches CVs.

Collect your current HR documents: leave rules, expenses, working hours, equipment and the first-week plan. Build an internal assistant that answers only from these documents and points to the source. Use AI as well to draft onboarding checklists and welcome guides for each role. Keep personal matters such as pay, health or disputes with a person in HR or management.

Give an AI assistant your brand voice, a few of your best past posts and a monthly content plan. Ask it for drafts, captions and variations per platform, then edit every post before publishing. Use it to turn one strong piece of content into several posts, not to invent your message. A person always has the final say.

Feed an AI tool structured product data, such as materials, sizes, uses and care, plus two or three descriptions you like. Ask for drafts in a fixed template and generate them in batches by category. Then have someone check every fact against the supplier sheet. AI handles the wording; your data and review keep the catalog accurate.

Use AI to plan campaign themes, draft subject lines and body copy, and adapt one message for different customer segments. Give it your best past emails and the details of your offer. A person checks facts, links and tone before sending. Test subject lines against each other instead of trusting the first draft.

Use AI to group the questions your customers ask, outline articles and write first drafts that an expert then corrects and enriches. Start from real search data such as Google Search Console, not invented keywords. Add your own examples, prices and experience before publishing. Search engines reward helpful pages, not volume, so publish fewer and better.

Use AI to generate many headline and text variations from one clear offer, then let your ad platform test them with real budget. Give it your audience, offer, proof points and any claims you must avoid. Keep a human check for accuracy and platform rules. The value is faster learning, so change one element at a time and keep a log.

Export your reviews from Google, your e-shop and marketplaces into one spreadsheet, remove names, and ask an AI tool to group them into themes with counts and example quotes. Read a sample yourself to confirm the themes. Repeat monthly to spot trends, and turn the top issues into fixes in products, delivery or service.

Export the numbers from your analytics, ad and email tools into one sheet, then ask an AI tool to summarize what changed, flag anomalies and draft the commentary. You check every figure and add the decisions. AI writes the narrative faster, but it should never be the only source of your numbers.

Use a translation tool such as DeepL or an AI assistant for the first draft, guided by a glossary of your key terms and a short style note. Then have a native speaker review it and adapt it for the market. AI is fast for product pages, emails and posts, while legal, medical or contract text still needs a professional translator.

Photograph each product simply and well, then use AI tools to remove backgrounds, create consistent white or lifestyle backgrounds and resize images for each channel. Keep the product itself unchanged and true to life. AI speeds up editing and creates variations, but it should never change the color, size or details customers rely on.

Replace basic keyword search with a search tool that understands meaning, typos and Greeklish, so "black summer dress" or "mavro forema" still finds the right products. Start by reviewing the searches that return no results, add synonyms and clean product data, then test the new search against your top 50 searches before switching it on for everyone.

Group customers by how recently they bought, how often and how much, then let AI suggest one offer per group and draft the messages. Give thank-you rewards to loyal customers, gentle reminders to those drifting away, and no discount to people who would buy anyway. Always keep a small control group without the offer, so you can see what the promotion really added.

Give an AI assistant a short input sheet: the goal, the audience, the offer, your budget and what you have tried before. Ask for many different campaign angles, pick two or three with your team, then ask the AI to turn the winner into a one-page creative brief. The AI widens your options; your team chooses and owns the idea.

Use AI for the slow parts of video: drafting the script, cutting raw clips, removing pauses, adding captions and resizing for each platform. For staff training, AI avatar tools can turn a written procedure into a short presenter video. In marketing, keep real people and real products on screen where you can, label AI-generated people clearly and check the Greek voice quality.

Let an AI tool create the first draft of subtitles from the audio, then have a person correct names, numbers and product terms. Translate the corrected file, not the raw one, into the languages your customers speak, and have a native speaker check the most important videos. Put captions on the image for social clips, since many people watch without sound.

Collect what people say about your brand, products and competitors in comments, mentions, messages and forums, then let AI sort it into themes and tone every week or month. Read the summary, check a sample of the original comments, and turn the top two or three themes into actions for marketing, product or service. Focus on patterns, not on individual people.

Write three or four short customer profiles based on real data: reviews, sales, questions and conversations with customers. Load them into an AI assistant and ask it to react to your ad drafts, offers or landing pages as each persona would. Use the feedback to spot unclear wording and weak arguments early, then confirm the final choice with real customers or a small paid test.

Write one core ad, then give an AI assistant a short fact sheet for each area: address, opening hours, parking, local landmarks, seasonal events and the offer that applies there. Ask for versions that use those real details, check each one with someone who knows the area, and run them with location targeting in Google, Meta or your Google Business Profile.

Create a fact sheet for each property: size, floor, year built, energy class, condition, features and nearby services. Give it to AI with your style guide and ask for a Greek and an English listing, plus short versions for portals and social media. An agent checks every fact against the documents. Never let AI add features or distances that nobody has verified.

Start with two or more years of sales data by product and week, and use a forecasting tool to project demand and flag stock risks. Add what the data cannot see: promotions, holidays, tourist season and supplier delays. A buyer reviews the forecast and decides the orders. Begin with your best-selling products, where errors cost the most.

Record an expert explaining or doing the task, or interview them for 20–30 minutes. Transcribe it and ask AI to turn it into a standard operating procedure with purpose, scope, safety notes, numbered steps and checks. The expert reviews and corrects it, and someone new follows it once. Store the approved version in one place with an owner and a review date.

Collect a sample of real order emails and attachments. Use AI to read each one and pull out the customer, product codes, quantities, prices and delivery date into a fixed format. Match products against your own catalog instead of letting AI guess. Create the order as a draft in your ERP or e-shop, and have a person check anything uncertain before confirming it.

List your 10–20 most important suppliers and what you depend on them for. Set up news and web alerts on their names, materials, ports and routes. Once a week, let AI summarise what changed, rate each item low, medium or high, and suggest a next step. Combine this with your own delivery records, and let a person decide on any action.

Start with the purchase and browsing data your e-shop and email tool already hold. Turn on built-in features that suggest related products on product pages and in emails. Ask an AI assistant to propose 4–6 customer segments from an anonymised export. Then test one segment-specific campaign against your usual one and keep whichever brings more orders.

Give the AI three things: your notes from the call, the next step you agreed, and two or three of your best past follow-ups as style examples. Ask for a short email that confirms what was discussed, answers open questions and proposes one clear next step. Edit it, check every fact and date, and send it the same day.

Use a transcription tool to record and summarise calls, but only after telling participants and getting their agreement. Ask for a fixed summary: needs, budget signals, decision-makers, objections and next steps. Then copy or sync those fields into your CRM. A person checks the summary before it is saved, because misheard names and numbers are common.

Build a small library of your best past proposals, standard service descriptions and terms. Give the AI the client's brief and ask for a first draft that follows your structure. Keep prices out of the AI's hands and take them from your price list or quoting tool. A senior person reviews scope, assumptions and terms before anything reaches the client.

Connect a chat assistant to your product catalog, sizing guides and shipping policy, so it answers from your own information first instead of guessing. Let it help shoppers compare products, find the right size and check delivery options. Show clearly that it is AI, hand over to a person for anything unusual, and review its conversations every week.

Write down what a good lead looks like for you, such as company size, need, budget signals and timing. Then let AI read each new form, email or chat, summarize it, tag it hot, warm or cold and route it to the right person or service. Your team still decides who to call; the AI makes sure good inquiries get answered first.

Gather your past sales or bookings, the prices you charged and a calendar of busy periods. Use AI to suggest price changes within limits you set, such as a minimum and a maximum price. A person approves every change at first. Show prices clearly, never use a fake "was" price, and check your approach with your legal advisor before going live.