This is a great talk by Sean Grove from OpenAI.  He discusses the principle of institutional specifications, as a way to document the purpose, goals and values of your organizational processes.

Critically, it also serves as an alignment mechanism for your stakeholders.

One of the priority tasks we’ve identified is reducing the friction to extract knowledge and capture communication between people in our organization, which can be distilled into standardized specifications.

These specifications are then used as context for AI models and Agents.

Conversational voice agents and transcription tools are an important part of this, as it massively streamlines the effort to capture ambient knowledge that would otherwise remain in someone’s head, or one-off verbal communication that would float off into the ether.

The value delivered from AI tooling is really a function of the relevant context that you’re capturing and exposing to the models.  

But most organizations are only providing a fraction of their institutional knowledge and procedural communication, which means they’re leaving a ton of this potential value on the table.

Formal specifications, provided as AI Context, and acquired through streamlined knowledge capture, are pillars of an AI-ready organization.  But they are quickly becoming the new baseline, so if you don’t have a plan in place, there’s no time to lose.