Implementing AI in your business

There is so much to review and consider before using AI in your firm. A lot of it is what you would do when brining in something radical anyway - think a full office renovation (@Sintons is going through one).

1. How good is your data? If you're using bespoke software or API's to trawl your own data; how good is your data? Is it clean? Rubbish in, rubbish out. Check through your data and make sure it is in a good state to be used.

2. Do the economics work for you? It might be that the time required to implement it for you outweigh the benefits over the next X months. The likelihood is you don't know what that will look like, so start small and run some tests.

3. Is it reliable? AI hallucinates and churns out different answers for the same prompt. How does that affect your work? Can you manage that? Make sure you have human QC in place.

4. Traceability is going to be key for many industries. You need to explain yourself and if AI can't, can you explain the output to your client, team or regulator? Look for solutions that help you with that.

5. What will the environmental cost be? AI has a significant environmental footprint. Work out whether that fits your business' goals.

6. Do you need to consider any ethical reasons to use or not use AI?

Do not become worried by implementing a complex solution to potentially complex problems. We need to work through how this new tech is going to work and how we can integrate it into our workflows.

It should be enhancing what we do, not automating it all so we forget to build relationships.