technology
PushButton AI Team ·
Most AI buying decisions fail before anyone touches the software. Not because you picked the wrong tool. Because nobody decided what problem they were actually trying to solve first. McKinsey just p
Most AI buying decisions fail before anyone touches the software.
Not because you picked the wrong tool. Because nobody decided what problem they were actually trying to solve first.
McKinsey just published research aimed at enterprise CIOs managing AI at massive scale. But buried inside is something that applies directly to you: the problem isn't cost. It's optimizing for outcomes. Most businesses skip that step entirely and buy the tool first.
That's why the $200/month sits unused. The tool wasn't wrong. The sequence was.
Here's what this means practically. Before you evaluate any AI solution, write down one operational problem that costs you real time or money every week. Not a vague goal like "be more efficient." Something specific. Customer follow-ups taking too long. Proposals eating up 4 hours each. Invoices slipping through the cracks.
Once you name the problem clearly, the right tool becomes obvious. And obvious tools actually get used.
This week, pick one repeating task your team complains about. Write it down in one sentence. That sentence is your AI brief. Everything else can wait.
What's the one task in your business that still runs on manual effort even though it's the same thing every single time?
#AIstrategy #SmallBusiness #DigitalTransformation #BusinessGrowth
... enterprise AI demand to optimize for outcomes, not just cost. ... The growing availability of off-the-shelf AI solutions is increasing, and not reducing ...
