Project examples

Examples of practical AI projects worth doing first.

Good first projects are narrow, visible, and useful. They save time or reduce mistakes without forcing the business into a platform it does not need.

Start with a conversation See public samples

A hillside town viewed from a stone overlook — A useful sample should be close enough to real work that people can judge it.

What this covers

Representative work

These examples describe the kinds of projects Purgatory River Consulting is built for. Some client work is private, so the public examples focus on workflows and outcomes rather than confidential details.

Quote turnaround

Turn job notes into a structured quote draft and customer follow-up message so an owner starts from 80 percent instead of a blank page.

Office intake

Convert intake forms, emails, or call notes into a summary, missing-information checklist, and next-step task list.

Document review

Extract dates, parties, obligations, exceptions, and open questions from long documents for human review.

Staff assistant

Create a focused assistant that answers internal procedure questions from approved documents and hands off when it is unsure.

AI policy and training

Give a team plain rules for tool use, confidential data, review, and the few workflows where AI should actually be used.

Working previews

Build lightweight demos that clients can try before they commit to a larger build or handoff.

Good first projects

Start narrow, finish something useful.

Start with one repeated workflow, one responsible owner, and one clear output.
Use real samples from the business when possible, with private information removed or protected.
Keep human review explicit for money, legal, medical, regulated, or customer-impacting decisions.
Leave behind a usable tool, short documentation, and training for the people who will use it.