# AI Build Lab

> A one-day session in which business and technical teams build working AI prototypes for their own problems.
>
> Source: https://www.naida.ai/services/ai-build-lab
>
> Version: 1 (2026-11-10)
>
> PDF: https://www.naida.ai/pdf/ai-build-lab.pdf

A one-day session in which business and technical teams build working AI prototypes for their own problems, with experienced engineers at each table.

Duration: 1 day

## Expected outcomes

- 2–3 AI use cases, chosen and tested by the teams that would use them
- Working prototypes with real integrations, deployed during the session
- People in each department who know what AI can and cannot do for their work

## Overview

The people who know which processes are slow, manual or expensive already work in your company. The AI Build Lab puts them in a room with engineers for one day.

Mixed teams list the problems, pick the ones worth solving and build prototypes with real data and integrations. At the end of the day you have working prototypes, a short list of use cases worth pursuing, and an estimate of what it takes to put them into production.

## Scope

- Introduction to AI-assisted development: what it can do today and where its limits are
- 3–4 tables, each with people from Finance, HR, Legal, Marketing, Sales or Operations and a software engineer
- Whiteboard sessions on pain points, manual work and opportunities in each function
- Choice of use cases by feasibility, business impact and available data
- Prototypes built live with AI-assisted development tools, with a senior engineer at each table responsible for architecture and integrations
- Deployment of the prototypes to a live environment during the session
- Review at the end: each team shows what it built, the business case, and what production would take
- A written brief after the session: the strongest use cases, next steps and a roadmap with expected effects on cost, productivity and customer experience
- A recommendation on which prototypes to take to production and what that would cost