01 — Replies
Drafting customer replies
Generate a first draft from a short note, in your tone, ready for a human to send.
// AI for small business
AI, used where it actually helps.
Not a strategy deck. Not a chatbot for the sake of it. A short list of specific tasks where AI quietly saves an hour a day — and an honest list of places where it’s not worth the risk.
// Eight grounded use cases
Where AI earns its keep.
These are the tasks we set up first, because the payoff is obvious and the downside is small.
02 — Translation
Translating messages
Reply to a customer in their language without leaning on a single bilingual team member.
03 — Summaries
Summarizing documents
Turn long PDFs, intake forms, or threads into a one-paragraph TL;DR you can act on.
04 — Social
Social post ideas
Get five plausible posts from a single offer, photo, or update — then pick the one you’d actually send.
05 — Reviews
Review responses
Draft thoughtful, on-brand replies to good and tough reviews — no copy-paste, no panic.
06 — Procedures
Procedures to checklists
Turn how-things-are-done in someone’s head into a clean checklist a new hire can follow.
07 — Templates
Email templates
Build the eight emails you send every week — confirmations, reminders, follow-ups — once.
08 — FAQ
FAQ from real questions
Cluster the last hundred inquiries into the questions you actually get asked — and answer them on the site.
// What we don’t recommend
Where AI quietly backfires.
These are the projects that look exciting and end up costing more than they save. We won’t set them up.
01 — Autonomy
A public-facing chatbot that answers customer questions with no human in the loop.
02 — Stakes
Automated replies that handle pricing, scheduling, or anything a customer can’t easily undo.
03 — Privacy
Feeding sensitive customer data into a model without knowing where it’s stored or who can see it.
04 — SEO slop
Generating content at volume to “improve SEO” — search engines and customers notice.
05 — Voice
Replacing the owner’s voice in places where the owner’s voice is the whole point.
06 — Tool sprawl
Stacking five AI tools when one calmly-used model would do the same job better.
// Example workflows
A few before-and-afters.
| Business task | AI-assisted improvement |
|---|---|
| Reading and acting on a 15-message customer thread | One-paragraph summary with the customer’s actual question highlighted; reply drafted, ready to send. |
| Writing the weekly newsletter from scratch | Three angled drafts from this week’s notes; pick one, edit for 5 minutes, send. |
| Translating a price list to a second language | Translated draft in minutes, with the same structure, ready for a quick native review. |
| Onboarding a new front-desk hire | A clean checklist generated from the owner’s walkthrough — what to say, what to log, what to escalate. |
| Responding to a difficult online review | Three measured replies in different tones; you pick the one that sounds like you. |
| Sorting today’s incoming messages | Inbox triaged into "needs a real reply", "send a template", "FYI only" — in seconds. |
One model is enough. Most small businesses don’t need a stack — they need one well-set-up AI tool, used carefully, by people who know what good output looks like.
// AI without the hype
See where AI fits your business.
An hour of conversation, a written read-back, and a short list of two or three places worth trying first.