AI Fit & Readiness Assessment.

Find out whether AI helps your business before you pay for it

What you get

Your everyday back-office workflows listed, with the two most expensive ranked by what they cost in time and money
A live demonstration of where current models fail on your own documents
A written read on where AI helps those two workflows and where it does not
Within 2 business days, a plan for bringing AI into your workflows

Usual Timeline: 2 hours together, with analysis of your workflow and tech stack beforehand.

The first 30-minute call is free and decides whether AI is the right fit for your business. If it is not, we can talk about a Stack Review or Vendor Verification instead.

Case at a glance

Real-World Results

7 → 20+listings published per day

~20 hrs/momanual AP entry returned

2 daysper workflow, tested and deployed

Who

A small business running a digital storefront against a physical warehouse

The problem

Listings written by hand from paper intake, capping output at 7 a day
Receipts, invoices and AP keyed in manually every month before the books could close

The fix

Named the two workflows costing the most hours, then tested Gemini against both on real intake forms, photography and receipts
Built a first-pass listing agent reading year, serial, brand and model off the intake record
Set up an AP routine that filed receipts by month and rolled them into the expense sheet
Ran on the Gemini license already in their Workspace, with no separate AI subscription
Kept a human reviewing every listing before publish and every sheet before it went to the accountants

The result

Listings went from 7 a day to more than 20, with the same output feeding the customer email lists
About 20 hours a month of manual AP entry returned, with the monthly sheet arriving at the accountants ready to reconcile

Why it matters

Applying AI to two workflows you already know are expensive returns hours of manual work and increases output without adding staff.

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