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Brian Harber's avatar

Customer request and context used.

Options considered, included, and excluded.

Ranking rules and commercial influence.

Named owner when the recommendation fails.

Is this an orchestration platform that's actually putting in the AI work necessary to correctly evaluate these interactions? This is a rare find if that's the case. Those four elements you've listed in your article are almost impossible to find inside of any orchestration vendor that isn't managing their own AI/decision system.

Really insightful article aw always, Mark!

Mark Levy's avatar

Brian, that’s exactly the gap I’m trying to surface with the operating playbooks.

I haven’t seen many orchestration vendors that can truly deliver all of this either, especially if they don’t control the AI or decision system underneath it. But the exercise still matters because it gives operators a way to ask better questions: what evidence was used, what was excluded, what influenced the ranking, and who owns the recovery when the recommendation fails.

Brian Harber's avatar

We’re definitely circling the same goal. Really appreciate your input and content.