I see a lot of use cases for AI/Agents in PMM that talk a lot about the inputs & process, but not a lot on the output or consumption point

What i mean is - we use AI to do competitive intel, i can pull in insights from many sources on a regular basis and i can create an asset where that insight is written; it can be a google doc, an internal email or a markdown file. I can do this regularly

BUT what is the consumption point for my colleagues? i dont want to push out a deluge of slack messages or google docs otherwise they'll just get their Agents to read them

what creative ways are people using to distribute AI-generated insights to their sales and product peers?

Interested in any real example of how folks are using agents to automate product launches.

In particular how agents support the review and approval loops (legal, security, comms) + how you apply judgement to any customer (or seller) facing surfaces like changelog or in-product notifications.

I'm starting with the idea of 3 release 'paths' depending on the nature of the release ie

1. silent changes / fixes that customers don't need to worry about beyond being notified there's an improvement
2. feature improvements, where both sales and users need to be aware so they can take advantage
3. major new capabilities, where we may have a packaging or implementation implication

Interested in any real example of how folks are using agents to automate product launches.

In particular how agents support the review and approval loops (legal, security, comms) + how you apply judgement to any customer (or seller) facing surfaces like changelog or in-product notifications.

I'm starting with the idea of 3 release 'paths' depending on the nature of the release ie

1. silent changes / fixes that customers don't need to worry about beyond being notified there's an improvement

2. feature improvements, where both sales and users need to be aware so they can take advantage

3. major new capabilities, where we may have a packaging or implementation implication