Picture this.
Imagine a consultancy with an AI assistant that drafts proposals from past projects. The demo works beautifully for its creator. To make it useful for everyone else, the business needs the right document access, checks for unsupported claims, a way to handle failures and someone responsible for keeping it working.
Why it matters.
Real work brings messy inputs, changing documents and users who weren’t in the demo. Those are product and operating questions as well as technical ones. A small, clearly owned workflow is a useful place to start.
The bit to remember.
Production doesn’t mean perfection. It means being clear about what the tool can do, how you will spot a problem and when a person needs to step in. A draft can be valuable without being allowed to send itself to a client.
“Who owns this when it gets something wrong, and what happens next?”
Further reading: OpenAI: production best practices. The business example above is illustrative.