Confident Isn't the Same as Correct

Over the past few months, we’ve noticed something in almost every client conversation we’ve had.  It’s exciting, honestly, but it’s also keeping us up a little at night.

Not long ago, companies called us for help figuring out what to build and how to build it.  Now, a lot of them are showing up with something already built.  They asked ChatGPT to design their Salesforce automation.  They had Claude generate their workflow.  They used an AI coding tool to write the integration.

And look, we get it.  We do the same thing.  These tools are genuinely remarkable.   But here’s what we’re seeing in the field: access to a powerful tool and knowing how to use it responsibly are two very different things.

AI is excellent at generating answers that sound right.  And that’s exactly the problem.  Confidence isn’t the same as correctness.  We’ve watched organizations take AI-generated Salesforce configurations and run with them because the output looked polished and the recommendations came with conviction.  No one stopped to ask: Does this actually fit how our business works?  What happens when this needs to scale?

What AI can’t tell you is why your finance team designed that approval process the weird way they did five years ago (there’s always a reason).  It doesn’t know about the political landmine sitting between your sales ops lead and your IT director.  It doesn’t know which shortcut will turn into a six-month refactor down the road.

That’s the stuff that only comes from experience, from having seen this go wrong enough times to know where the bodies are buried.

So where does that leave consultants?  We think the job is shifting, not disappearing.  The value isn’t in writing the code or generating the config anymore.  It’s in understanding what the business actually needs before anyone touches a keyboard. It’s in architectural decisions that hold up two years from now.  It’s in governance, making sure the thing that gets built today doesn’t become someone else’s emergency next quarter.

At Appluent, we’re not anti-AI.  That would be absurd.  We use it every single day.  It makes our teams faster, takes the grunt work off our plates, and honestly makes our deliverables better.  But we also know what it doesn’t know.

The organizations that figure this out, that AI and experienced practitioners are better together than either is alone, are going to have a real advantage.  Those who confuse a great tool for a complete solution will eventually call someone like us to clean it up.

We'd rather just help you get it right the first time.