We’ve all bought something we were sure would make life easier.
Then somehow it took more work and effort than we ever imagined.
Companies do this all the time.
When we buy a new tool, it's usually because of the upside we think it will bring.
Managing the change required to reap those benefits proves more elusive.
AI gives us an almost infinite choice of products and puts more of these decisions in front of us, faster.
Buying the tool is still the easy part.
With three people, we experiment.
With 50, learning and adoption are key.
Workflows change.
Systems must connect.
Other work slows down while everyone adjusts.
Add functions, regions and existing contracts and what looked like a software purchase becomes an operating decision.
Your CFO already thinks about the economics of that decision.
We should too.
The subscription is only part of the investment.
There’s implementation time, disruption, opportunity cost and the return we expect from all of it.
That means we should know what better looks like before the rollout starts.
At 30, 60 and 90 days, something meaningful should be changing.
That change should eventually show up in growth, margin, retention or real productivity.
If people are using the tool and the economics aren’t improving, adoption isn’t success.
We made an investment.
It must be managed like one.
The next generation of operators won’t be measured by how many AI tools they adopt.
They’ll be measured by the revenue they earned for the business.
Execution Beats Theory. Every Time.
👋 Hi, I'm Tim. I help engineering-led startups and mid-market scaleups build adaptive GTM systems, unify revenue, and scale with Agentic AI.
At Entry Point 1, we partner with engineering-led startups and mid-market scaleups that operate intentionally and play to win.
We've helped generate $1B+ in revenue across our work.
If you're ready to win, we're ready to help you get there: https://lnkd.in/gB64Mt2D
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