If you're not sure if it's working, it probably isn't. Measure and prove progress. Don't guess.
When businesses adopt AI, they almost always bolt it onto systems designed strictly for humans, but this simply doesn't work.
A useful shorthand is to think of AI as an amplifier. Without due consideration, AI simply gives you more of what you have, faster*.
Effective AI adoption requires a mindset shift. To get genuine leverage, you have to start at the foundations and redesign the work around what AI is actually good at.
*This is one of the reasons people think AI is rubbish. Flaws in your workflows, that would normally have taken months to rise to the surface (or worse, remained hidden), now surface in days, which makes it seem like the AI is to blame.
Two distinct ways to work together
Custom software is no longer reserved for companies with engineering departments or six-figure agency budgets. AI puts focused, bespoke software within your reach. We can teach you how to use AI to build software for yourself, or we can do it for you. Either way, once you see what's possible, you'll look at inefficiencies and irritations in your daily life with fresh eyes.
AI is an amplifier. Its leverage exposes your product development and delivery ecosystem for what it is. If you're not getting the results you expect, it's most likely due to some combination of weak S/PDLC fundamentals, trying to force a fundamentally new way of working into an old shape, and/or simply not knowing how to test and measure value.
We're not into sleazy sales tactics. We're into coffee conversations.