Here's what an AI Workflow Map turns up for a business like Dunder Mifflin — a regional paper and office-supply distributor. Three everyday workflows that quietly eat people's time, and the AI I'd build for each. Nothing fancy or far off — things I can stand up today.
Dunder Mifflin is a fictional stand-in, used to show the kind of workflows a Map surfaces. Real engagements use your business and your numbers.
Orders and RFQs land as messy email — a list in the body, a forwarded spec, a PDF. A rep retypes it, checks the price book, and writes the quote. It's slow, and it's easy to fumble a line or a price.
A workflow that reads the email and any attachment, pulls the line items, matches them to the current price list, and drafts the quote for a rep to glance over and send. Anything it can't match cleanly, it flags instead of guessing.
Quotes out in minutes, not the next morning. Reps spend their time selling, not retyping — and fewer pricing slips reach the customer.
Illustrative — a sample order email turned into a priced quote in seconds.
Customers call to reorder or chase an order after hours and over lunch — and reach voicemail. Some don't call back. They call whoever picks up.
An AI line — that's Alex — that answers every call, takes a reorder or a message, books a callback, and emails the details to the right rep. It speaks naturally and reads the details back to confirm.
No missed orders, no after-hours staffing. The routine calls are handled; the team only gets pulled in for the exceptions.
The service inbox fills with the same questions — "where's my order," "is this in stock," "what's my price on this." Each one is a small interruption and a context-switch for the team.
A workflow that reads each email, pulls the answer from the order and product data, and drafts a reply for a person to approve and send. The repetitive ones get a one-click answer; the tricky ones still go to a human.
Hours back every week and faster replies — with the team's attention saved for the messages that actually need judgment.
For each workflow, the Map gives you what you need to decide with eyes open: the tool stack with real pricing, the build and run cost, an ROI you can sanity-check, and a clear verdict — worth building, not yet, or skip.
Some workflows won't make the cut, and I'll tell you which. The point isn't to AI-everything; it's to find the one or two changes that actually pay for themselves — then build them.
It isn't Dunder Mifflin, but somewhere in it are a couple of everyday jobs that eat time and lean on the same few people. Let's find them, and figure out which are worth building.
Dunder Mifflin is a fictional company used to illustrate the kind of workflows an AI Workflow Map surfaces. Figures shown are illustrative; a real Map uses your business and your numbers.