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 businesses in Armenia.
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 knowledge held in someone’s head into a clear 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 built from real customer 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
Using five AI tools when one carefully configured 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 drafts with different angles based on this week’s notes; pick one, edit it for five minutes, and send it. |
| 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.