Better Intake Before Better Matching

Someone experiencing conflict may begin with a long story, a single incident, or a conclusion about another person’s motives. A useful intake process helps clarify events, documents, relationships, uncertainty, and what the person wants to happen next.

Preserve’s proposed AI-assisted conversation would adapt its questions as that picture develops. The client would have an opportunity to correct the account before it is shared.

A relevant example can help someone say: That resembles our situation, but this part is different. That difference may reveal a missing constraint, a misunderstood objective, or the need for another kind of expertise.

The risk is steering. If the system presents a confident interpretation too early, it may encourage the client to fit their story to it. Examples should therefore support exploration, with sources, limitations, and differences made visible.

A useful handoff would distinguish client statements from supporting documents, contested facts, unanswered questions, and AI-generated suggestions. A polished summary should never conceal missing information or make one person’s account appear independently verified.

The selected professional needs enough context to begin well, while retaining the freedom to question the framing and decline an unsuitable engagement.

The proposed benefit is a more productive first engagement. A pilot should examine whether the briefing is accurate, whether important issues are omitted, and how much effort professionals spend checking and correcting it.

Faster intake is valuable only if the resulting preparation is useful. Preserve’s next step is to define and test that standard within a bounded workflow, building on the original 2024 coursework.

The Preserve model · The 2024 coursework case study · All insights