We use AI for all our meetings.
That is table stakes today. Has your conversion rate improved?
Not really.
Has the number of new meetings increased?
No.
So how has AI really helped, apart from being another cost line on your P&L?
He believed it had huge advantages. I believe in AI too. But an investment has to be quantified.
What was AI supposed to fix?
Every AI purchase should start with a named bottleneck. This company was built before the AI era, and its salespeople were already converting at the same rate. So the question was what specific problem AI was meant to solve.
His answer: better call insights, better coaching, better visibility. Then the follow-ups. Did ramp time for new hires reduce? Not tracked. Did win rates improve? Not sure. Did managers spend less time reviewing calls? Not measured.
You have measured adoption. Not impact
Most companies buy AI because everyone else is buying AI. Very few define the business outcome before implementation. AI is not the strategy. It is a lever, and a lever is only useful when it is attached to a system.
The differentiator your competitors cannot buy
When every competitor runs AI in its inbound and outbound, AI stops being the differentiator. What is left is the salesperson. AI cannot offer insight that is not available as online data. It cannot read body language in a room, work out the office politics behind a decision, or make an emotional connection with a buyer.
When your next big deal closes, it will not be because your company used AI. It will be in spite of your competitor using it.
Before and After Any AI Purchase
Name the bottleneck it should remove
One commercial problem, stated plainly — not "better visibility".
Pick two numbers that prove it
For example ramp time, win rate, or manager hours spent reviewing calls.
Record both numbers before rollout
Without a baseline, any improvement is a story, not a result.
Check them again after one quarter
If neither moved, find out why before buying the next tool.
Founder-led sales asks "Which AI tool should we buy?" System-led revenue asks "What bottleneck are we trying to remove?"
Related: Measure the last spend before approving the next one — the same check applied to hiring and tools.