A company with multiple ICPs across its agents
Your company probably doesn't have one ICP. It has four. And each department has already trained an agent with its own.
Ideas, guides and behind-the-scenes on how companies are using artificial intelligence across sales, marketing, support and management — without the hype.
A 30% gain from AI. Nobody measured what came before.
Your company probably doesn't have one ICP. It has four. And each department has already trained an agent with its own.
76% of companies already have a CAIO in 2026. Most created the role before building anything it would need to function.
Your agent made a decision it wasn't supposed to make, and you never found out.
Your company uses AI to execute what has already been decided. The one that will outperform you uses AI to find what never was.
The plan was two weeks of parallel operation. It's been six months.
Your AI system has 99.9% uptime. The team opens it three times a week.
The report landed on the board's desk. Nobody could explain how it had been made. And the meeting went on anyway.
Your AI governance policy probably covers about 20% of what your team actually uses.
4 AI agents running in parallel. Answer me this: who decides when two of them reach opposite conclusions?
60% of any manager's time goes to coordination about the work, not to the work itself.
Your product has been talking for months. The question is whether anyone at your company is listening.
You have 40 open deals. Do you know which one will go cold by Friday, or will you find out when the silence has already lasted a week?
A support complaint at 9 AM. A product meeting at 10 AM. Nobody connected the two.
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