AI EMPLOYEES(1) · MANAGED · TELEGRAM-NATIVE · SMALL BUSINESS
Hire an AI employee,
not another SaaS login.
// run it from anywhere
Unchain yourself from the desk.
Telegram ships today as the native home base. The other channels connect through the same managed pod: your employee, your rules, one permission ladder across all of them.
// the pitch
Most small businesses do not need full-time staff. They need the work done.
A bakery does not need a full-time social manager. It needs 3 posts a week and a DM reply system. A two-location clinic does not need a $50k marketing hire. It needs the website kept current, reviews answered within the hour, and someone who can pull last month's numbers on request.
Those are fraction-of-a-person jobs. Until now your options were to overhire a human, underhire a freelancer, or buy another SaaS login that your team stops opening by week three. An AI employee is the fourth option: a named worker you talk to in the app you already have open, that does the fraction of the job and shows its work. Behind that one conversation, thousands of agents run in parallel so nothing waits in a queue.
No new dashboard to learn. No prompt engineering. You run your business. It does the fraction.
// one conversation, thousands of agents
you: "fix the hours on the site"
ai: done. also opened? verify 1
listing mismatch, corrected.
you: "what did we sell most of?"
ai: top 3 SKUs, last 30d, with
margin. table in 40s.
you: [ approve banner ] 09:07
ai: live. receipt logged.
Same employee. Web, marketing, front desk, back office.
// managed agents
You hire an employee. We run the department.
The part most AI products leave out: someone has to look after it. Software you install is a liability the day it breaks. An AI employee from us comes with a team behind it. We monitor it every day, maintain it as models and tools change, review its judgment calls, and fix anything that stops working. If it misbehaves at 2am, that is our ticket, not yours.
Managed is the whole point. An unmanaged agent is a hobby. A managed one is staff.
Monitored
Daily health checks on every agent. Silent failures page a human before you notice anything.
Maintained
Models, prompts, and integrations change constantly. We update your employee so it keeps working.
Supervised
Risky and public-facing work waits for a human click. Judgment calls get reviewed, not guessed.
Supported
A real person answers when you ask. Same day, plain English, no support ticket maze.
Green means healthy. Red means trouble. The conductor keeps the whole fleet in tune. That is the product.
// the org chart
Four departments. One point of contact. Thousands of agents.

--web-dept- + Website edits and new pages, same day
- + Price, hours, and menu updates
- + SEO fixes and broken-link sweeps
- + Landing pages for campaigns

--marketing-dept- + Social posts on a weekly cadence
- + Blog articles drafted from your voice
- + Review responses, drafted and sent
- + DM reply system for inbound questions

--front-desk- + Telegram intake, today
- + Answers calls, books appointments (phone, soon)
- + FAQ answers from your real docs
- + Escalates to a human when unsure

--back-office- + Ask-your-data questions in plain English
- + Morning briefing: what changed, what matters
- + Competitor and review monitoring
- + Weekly summary of everything it did
Phone receptionist is in active build. Telegram intake, web, marketing, and back office ship today.
// the training
What your AI employee is trained on
--webWebsite changes
Edits, new pages, copy. Made, checked live, reported.
--blogBlog & articles
Full posts drafted in your voice, imagery included.
--seoSEO & AI search
Audits, keywords, and getting cited by AI answers.
--socialSocial media
On-brand posts and captions. Drafts only, you approve.
--emailEmail marketing
Campaigns and newsletters in a plain, human voice.
--reviewsReviews & reputation
Reviews read and analyzed, responses drafted in your voice.
--brandImages & brand
On-brand visuals. Official assets are authoritative.
--leadsForms & leads
Lead flows tested safely, problems reported plainly.
--analyticsAnalytics & reports
Numbers, trends, what they mean. Read-only.
--qualityAccessibility & speed
Usable by everyone, fast on every device.
--campaignsCampaigns & offers
Consistent messaging across every channel.
--faqFAQs & customer Q&A
Answers grounded in your real content and sources.
--catalogProducts & services
Accurate catalog content. Never invents offerings.
--marketCompetition
Market watch from public information only.
--storeStore & sales
Bookings and orders, reported read-only.
Guardrails are part of the training: nothing public posts without your click, payments and customer data are read-only, and every action leaves a receipt.
// the salary anchor
What a receptionist costs vs what an AI employee costs
| human receptionist | AI employee | |
|---|---|---|
| monthly cost (all-in) | $4,200 - $5,100 | from $297 |
| hours covered | ~160 (one FTE) | 24/7/365 |
| sick days / PTO | yes | none |
| ramp-up time | weeks to months | days |
| quits or gets poached | possible | no |
| extra headcount for nights/weekends | more salary | included |
Figures are industry estimates, not guarantees. The $4,200-$5,100/mo range reflects fully-loaded US cost (base salary, payroll taxes, benefits, overhead) commonly cited for full-time front-desk staff; your market may run higher or lower. AI employee pricing is our published list price. Savings depend on how you deploy it.
// how it works
From intro call to first receipt in one week
Intro call
A 45-minute working session booked from this site. We map which roles you actually need covered and which ones you do not. No pitch deck.
Your AI introduces itself
The same day, your AI employee messages you on Telegram, introduces itself by name, and takes its first task. Day one is a working day.
Weekly receipts
Every week you get a receipt of everything it did: edits shipped, posts published, reviews answered, questions handled. Work you can point at.
// proof of work
Public receipts, not promises
Every client gets a live changelog of their AI employee's work: every edit, post, reply, and answer, timestamped and attributable. We call these receipts. They are the difference between an AI that demos well and an employee you can manage.
Your receipt feed is the artifact you review on Monday morning and the record you point at when someone asks what the AI actually does around here. Auditing a human hire is a performance review. Auditing an AI employee is reading a log.
// faq
Straight answers
01Is my business data safe?
Your data stays yours. It is kept in your workspace, used only to do your work, and never resold or used to train anything. You can export or delete it at any time.
02What if it makes a mistake?
It operates on a permission ladder. Safe, reversible work (typos, price matches, queued drafts) happens automatically. Anything risky or public-facing comes to you as an approve/edit button in Telegram first. Nothing important ships without a human click.
03Can I cancel?
Yes. Plans are flat monthly, cancel anytime, no lock-in. Setup is one-time and covers building and training your AI employee; the monthly is the salary.
04Is this just a chatbot?
No. A chatbot is one weak model answering questions one at a time. An AI employee is the opposite: one conversation in front, thousands of specialized agents working in parallel behind it, each with a job description, tools for your actual stack, a permission ladder, and a weekly receipt of finished work. It is judged on output, not chatter.
05Who looks after the AI once it is running?
We do. That is the managed part: we monitor it every day, maintain it as models and tools change, review its judgment calls, and fix anything that breaks. Your AI employee comes with a support team behind it, so you never babysit software. If something stops working, that is our ticket, not yours.
06Do the savings numbers hold up?
The $4,200-$5,100/mo receptionist figure is an industry estimate of fully-loaded cost (salary, taxes, benefits, overhead) for US small businesses; actuals vary by market. The AI figure is our own list price. We publish both so you can run the math yourself.
AI EMPLOYEES · FROM $297/MO
