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Project

AI Client Intake System

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

Role
System design, workflow architecture, implementation
Year
2026
Status
In progress
Type
Automation

Stack

Next.js
TypeScript
OpenAI API
Postgres
Vercel

Overview

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

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

What I Built

Structured request capture

AI-assisted classification and summary drafting

Review checkpoints before client-facing output

Technical Stack

Next.js
TypeScript
OpenAI API
Postgres
Vercel

Built to stay deployable on Vercel and easy to extend as the content system grows.

Screenshot / Gallery

Visual materials pending. Add real screenshots when the project has final media.

Related Case Study

Reducing Client Intake Friction with AI

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

Open case study
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