Labeled, never hidden
Every AI-touched step in your software says so, in the interface, where your team can see it. Nobody on your team should have to guess whether a number on their screen came from a person, a formula, or a model.
That matters more than it sounds like it should. A lot of AI implementation elsewhere works quietly in the background, and a team finds out later, if at all, that a step they trusted was actually a model's guess. Here, the label lives with the step, not filed away in a disclosure somewhere else.
Only where it removes a step
AI doesn't get added everywhere it could technically go. It gets added where it removes a real step someone was doing by hand, and nowhere else. If a part of the process doesn't get faster or easier by having AI in it, we leave it alone.
Training included
Software with AI in it is only useful if the people using it understand what it's doing. Training covers how to use it and how to tell when something needs a second look, not just which buttons to click.
What this isn't
This isn't a chatbot dropped into your website, and it isn't a slide deck about how AI is coming for your industry. It's specific: one process, one step, one piece of software you already have, with AI added only where it earns its place there.
Where this usually shows up
AI implementation is rarely its own isolated project. It usually rides alongside a custom software build, since the AI-touched step lives inside software that's also being built or already exists. It can also come out of a workflow audit, once the audit finds the specific step worth adding it to.
Send a note about the step in your process you think AI could actually help with, or about the software it would need to live inside.
Tell us what you need
Send a note about what you're trying to build, or about the part of your operation that costs you the most patience. No deck, no discovery call about a discovery call.