Where it actually pays off
Less busywork. Same people.
We are not interested in AI for its own sake. These are the everyday tasks where it earns its keep once the guardrails are in place.
The taskHow it happens todayWith AI
Meeting notes
Someone types them up afterward, if they remember.
Recap and to-dos, drafted before the meeting ends.
Client proposal draft
Open last year's file and start replacing names.
A first draft from your own templates and past proposals, in your voice, citing your files.
Inbox after a week off
Three hundred emails and a lost morning.
Threads summarized, decisions surfaced, the five that need you flagged first.
Finding the policy document
Ask three people. Get two versions.
Ask once. You get the answer and a link to the current file.
Invoices into the accounting system
Copy from PDF to spreadsheet, line by line.
An automation reads the PDF, posts the entry, and queues it for a human to approve.