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Progetto

AI Client Intake System

A structured intake and triage workflow that turns messy client requests into scoped delivery plans.

Ruolo
System design, workflow architecture, implementation
Anno
2026
Stato
In corso
Tipo
Automazione

Stack

Next.js
TypeScript
OpenAI API
Postgres
Vercel

Panoramica

Designed a lightweight AI-assisted workflow for collecting context, classifying requests, drafting next steps, and keeping delivery notes searchable.

Impatto: Requests can move from intake to scoped work with less manual reconstruction.

Cosa ho costruito

Structured request capture

AI-assisted classification and summary drafting

Review checkpoints before client-facing output

Stack tecnico

Next.js
TypeScript
OpenAI API
Postgres
Vercel

Costruito per restare deployabile su Vercel e facile da estendere mentre cresce il sistema di contenuti.

Screenshot / Gallery

Materiali visivi in arrivo. Aggiungi screenshot reali quando il progetto ha media finali.

Case study correlato

Reducing Client Intake Friction with AI

A repeatable intake pipeline that cuts context loss and makes proposals faster to scope.

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