AI you have to remember to open, and AI you cannot see.
Two ways of putting AI into a business. One waits to be opened, the other acts where nobody can see it, and neither gives a leader much confidence.
The conversation got practical
The conversation around AI has become far more practical, and I think that is a positive development. Leaders are placing greater emphasis on accountability, governance and the true cost of what they are deploying, and more of them are becoming deliberate about where AI is applied and why.
That mirrors the conversations I have with CEOs every week. Less about what AI could theoretically do, and more about how a specific use case becomes part of everyday work in a way that people understand, trust and actively use.
Two ways to get it wrong
Many AI solutions still sit inside a chat interface that employees have to remember to open. Others run in the background, making decisions or taking actions that people cannot see or interact with.
Neither approach gives leaders much confidence when they are the ones responsible for governance, adoption and business outcomes.
The organizations getting value are between the two
Rather than treating AI as a separate destination, they integrate it into the flow of everyday work. Employees still see the applications they already know, complete with their emails, calendars and customer information. The difference is that AI surfaces at the right moment with a relevant recommendation. It might suggest reconnecting with someone they have not spoken to for some time, prepare the follow-up, and wait for their approval.
AI becomes visible, tangible and helpful because it appears where people are already working. It gives people the chance to see what it is doing, approve its recommendations, and interact with it before anything happens.
One kind of AI waits to be opened. The other acts where nobody can see it.
Observable, understandable, auditable
That is exactly why we built BOS the way we did. We wanted to give organizations an environment where AI is observable, understandable and auditable while remaining part of the normal workflows people already rely on every day.
That is where I see organizations building the confidence needed to turn a promising use case into a capability that is genuinely adopted across the business.
If you want to see what this looks like in a product rather than in principle, the rest of the site goes further into it.