Each of these tasks has three things in common: it happens often, it follows a pattern, and a person can easily check the result. That makes them ideal first projects.
1. Answering common customer questions
Opening hours, pricing policies, delivery times, how to book, what's included: many businesses answer the same questions every day. An AI assistant trained on your own FAQs, policies, and website content can answer these instantly, around the clock, and hand the conversation to a person when a question is unusual or sensitive.
Keep it safe: limit it to your own content, make it say "I don't know" rather than guess, and give customers an easy way to reach a human. (Our own website assistant works this way.)
2. Pulling data out of invoices, forms, and receipts
Retyping details from PDFs, scanned forms, or photos into a spreadsheet or accounting system is slow and error-prone. AI can read these documents, extract the fields you care about (dates, amounts, names, reference numbers), and send them straight into your systems.
Keep it safe: start with a review step where a person approves each extraction, then relax it once accuracy is proven on your real documents.
3. Summarising long emails, calls, and documents
Long email threads, meeting notes, contracts, and reports take time to read. AI can produce a short summary, pull out action items, and highlight what needs a decision, so your team spends time on the work, not the reading.
Keep it safe: treat summaries as a starting point, and check the original for anything important like legal terms or numbers.
4. Sorting and routing incoming requests
Support emails, contact form messages, and service requests often land in one inbox and wait for someone to sort them. AI can categorise each request, set a priority, draft a reply, and send it to the right person or team.
Keep it safe: let AI draft and route, while a person approves the replies, at least at first.
5. Searching your company documents
Policies, manuals, past proposals, and project notes are often spread across folders and tools. AI-powered knowledge search lets your team ask questions in plain language and get answers with links to the source documents, so anyone can check where an answer came from.
Keep it safe: respect existing access permissions, so people only see documents they are already allowed to see.
How to get started (without a big project)
- Pick one task from this list that costs your team the most time.
- Measure it today: how many times a week, and how long each one takes.
- Run a small pilot on real examples, with a person reviewing every result.
- Compare time saved and accuracy, then decide whether to expand it.
Three rules we follow on every AI project
- We agree up front how your data is handled: what the AI can access, what is stored, and which providers process it.
- People stay in the loop on sensitive decisions. AI drafts; a person approves.
- We test accuracy before launch and keep monitoring it after.
AI works best as a helpful colleague for repetitive work, not as a replacement for the people who know your business.