Blog
Plain talk about AI for working businesses
What to audit, what to build and what to skip.
What an AI audit should include, and what it should cost
Four things a real audit hands you, and how to tell a fair price from a sales pitch.
Where AI pays back first for commercial real estate teams
Six workflows worth timing before you spend a dollar on software.
Why you should audit before you build
The most expensive AI project is the one that automates the wrong task.
Turn on the AI you already pay for
Before you buy or build anything new, check the AI features sitting unused in the software you already have.
How to time your team's work in one week
A simple, low-effort way to find out where your team's hours actually go before you decide what to fix.
How to put a dollar value on hours saved
A plain way to turn hours saved into a yearly dollar figure you can weigh against the cost of a fix.
Is your data ready for AI?
Five plain questions that tell you whether your information can support an AI fix, and what to tidy first if it cannot.
Using AI to write proposals and quotes faster
Most of a proposal is already written somewhere in your files, and AI is good at finding it and putting it together.
AI inbox triage for small teams
A shared inbox gets easier to handle when AI sorts it before anyone opens it.
Stop retyping invoices and forms: AI document entry
If your team reads numbers off a PDF and types them into another system, AI can do the reading while a person checks the result.
What an AI build sprint looks like
A fixed price, a short clock and a written finish line, so you know what you are buying before any work starts.
Keeping an AI tool working after launch
AI software sits on top of models and services that keep changing, so launch day is the start of its life, not the end.