Most business leaders have been asked, "What are we doing about AI?" Many have tried something. Fewer can point to a tool that saves real time every week.
The problem is rarely the technology. It is choosing the wrong job for AI, or skipping the test that proves it works.
What AI is good at today
AI tools are very good at work that involves reading and writing:
- Summarising long documents, calls and email threads
- Sorting enquiries, tickets and documents and sending them to the right person
- Pulling out data from invoices, forms and contracts
- Writing first drafts of replies, reports and descriptions for a person to check
- Answering questions from your own information, such as policies or product details
A simple test: if a person reads something and then types something, AI may be able to help.
Where to be careful
AI needs a person to check its work, or should not be used at all, when:
- A mistake could have legal, money or safety results
- The information it needs is not written down anywhere
- The process changes so often there is nothing stable to automate
- The job happens so rarely that automating it will never pay back
The goal is not to take people out of important decisions. It is to take away the boring, repeated work around them.
How to find the right jobs
Start with time, not technology. Ask each team three questions:
- Which tasks take the most hours each week?
- Which of these involve reading, sorting or writing?
- What goes wrong today when they are done late or badly?
The best jobs for AI happen often, involve a lot of text, follow clear rules and are slow today. You will usually find five or six quickly.
Test it before you build it
Take the best idea. Collect 30 to 50 real examples. Try a simple version of the AI tool on them. Measure two things:
- How often is it right?
- How much time does it save compared with doing the work by hand?
Decide what "good enough" means before you start, for example "right 9 times out of 10, and saves at least half the time". If it passes, build it properly. If it fails, you have lost days, not months.
Use it safely
A real AI tool needs more than a clever instruction. It needs testing with real examples, checks after launch, care with personal data under UK GDPR, and a person reviewing important decisions. This is the difference between a demo and a tool your team can trust.
That is how our AI consulting works: a short review to rank ideas by how much they save, a test on your own examples, then a careful build with costs and risks under control. If you run a small business, start with our AI for small businesses guide instead.
Questions
Frequently asked questions
What jobs is AI good at today?
Reading, sorting, summarising and drafting text; pulling data out of documents; and answering questions from your own information.
When should a person check AI’s work?
Whenever a mistake could have legal, money or safety results. In these cases AI should prepare the work and a person should approve it.
How do I test an AI idea cheaply?
Collect 30 to 50 real examples, try a simple version on them, and measure how often it is right and how much time it saves.