The enquiry arrived at night, the reply came at noon
By then the customer has messaged three competitors and picked whoever answered first.
[ Make · n8n · Claude · Telegram · CRM ]
AI SYSTEMS THAT RUN THE ROUTINE.
We build websites, Telegram bots and AI automations that handle leads, run content and take over manual work — without growing the headcount.
- Make
- n8n
- Claude
- OpenAI
- Telegram
- Google Sheets
- Apify
- Notion
- Airtable
- Webhooks / API
- Perplexity
- NotebookLM
01
Where the time goes
Automation starts with an honest answer to one question: what does your company still do by hand every day? Usually it looks like this.
Your data lives in three places
Chats in messengers, enquiries in the inbox, agreements in a sales rep's head.
Content ships when someone has a spare hour
Which means it barely ships. A customer opens the profile, sees a post from three months ago and draws conclusions.
Your team answers the same questions every day
Price, timing, availability, how to pay. From scratch each time — always at the expense of people ready to buy.
The customer was remembered a week later
Nobody forgot on purpose. The reminder simply lived in someone's head instead of a system.
Reports are assembled by hand
Half a day at month end for something that could build itself every morning.
02
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What we build
Four tracks that add up to one system: the site brings the lead, the bot answers first, the CRM stores and reminds, and automations tie it together and take over the content.
Websites and landings
Pages that don't just look good — they pass the lead on through the system.
- Landing pages for launches and paid traffic
- Company sites and catalogues
- Forms wired into CRM and messengers
- Speed, responsive layout, technical SEO markup and a sitemap
Telegram bots
A first line of contact with the customer that never takes a day off.
- Lead capture and booking
- Funnels and broadcasts to your base
- AI assistant trained on your materials
- Admin panel and export to CRM
CRM and integrations
Order in your data: one pipeline instead of chats scattered across three apps.
- HubSpot, Pipedrive, KeyCRM, NetHunt and many others
- Pipelines, fields and access rights
- Site → CRM → messengers, wired up via API
- Reports and dashboards for the owner
AI automations and content
Scenarios that do the repetitive work instead of your people — from sorting email to posting on a schedule.
- Workflows in Make and n8n
- AI agents built for a specific job
- Processing emails, documents, calls
- Content and reporting on autopilot
03
Sales
Sales
Sales
Sales
Marketing
Marketing
Marketing
Support and analytics
Support and analytics
Support and analytics
Support and analytics
HR and ops
HR and ops
HR and ops
HR and ops
Scenario catalogue
Proven scenarios we adapt to your processes. We start with one — whichever eats the most time right now.
Leads into CRM with no typing
A lead from your site, ads or messengers lands in the CRM on its own, gets enriched and goes to a free rep.
Fixes: lost leads and manual copy-pasteCall quality review
AI listens to call recordings, scores them against your checklist and flags the ones worth a manager's time.
Fixes: spot-check-only sales controlFirst-reply agent
Answers in messengers instantly, asks qualifying questions and hands the rep a ready context.
Fixes: the gap between enquiry and first replyDeal reminders
Watches for gaps in the conversation and nudges the rep until the deal moves again.
Closes: deals everyone simply forgotTelegram content engine
Source collection, drafts, formatting and scheduled publishing. The channel runs without daily attention.
Fixes: "nobody has time for the channel"Instagram content engine
The same conveyor for the feed: rubrics, copy, visuals and auto-posting on a calendar.
Fixes: gaps in the content planTrend hunter
Watches what gains traction in your niche and delivers a digest with examples and links.
Fixes: manual competitor monitoringWeb data collection
Competitor prices, reviews, catalogues, job posts — on a schedule, straight into your spreadsheet.
Fixes: gathering market data by handComment replies
Reads comments and answers the routine ones, passing anything sensitive to a human with a note.
Fixes: unread comments and questionsEnquiry analysis
Goes through chats and tickets: what people ask most, where they get stuck, what repeats month after month.
Fixes: no clear picture of enquiriesA morning report for the owner
Pulls numbers from the CRM, ads and spreadsheets into one digest and sends it to your messenger before the day starts.
Closes: half a day on month-end reportingCV screening
Applications are tagged against your criteria and the matching ones surface first with a short summary each.
Fixes: hours spent reading applicationsCandidate sourcing
Collects profiles matching your parameters and puts them in one table with contacts.
Fixes: manual search across platformsAI booking desk
Books clients around the clock, reminds them of the appointment and reschedules when plans change.
Fixes: enquiries outside working hoursInvoice and document parsing
Pulls data out of invoices, acts and contracts and files it into your spreadsheets without manual entry.
Closes: retyping from PDF into a spreadsheetDon't see your scenario? We'll take your process apart during the audit and build one for it.
04
How we work
We start with the process, not the technology: first we look at where the time goes, and only then decide what to automate first. All we need from you is one conversation and access — the rest is on us.
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01
Process audit
We map what happens today and where the time is lost. Free, a 30–40 minute conversation.
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02
Scope and plan
We agree what gets automated, in what order, and how we'll know it worked.
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03
Prototype
We build a working version of one process in a few days. You watch it run on your own data, and only then decide whether to go further.
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04
Rollout
We connect it to your live systems — usually one to two weeks. Then we hand over documentation and show the team how to use it.
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05
Support
We watch for errors, adapt to changes and add new scenarios over time.
05
How much time the routine eats
Drag the sliders to your own numbers — we'll work out how much working time a month goes into repetitive actions.
Based on 22 working days a month and an 8-hour day. This estimates the volume of manual work, not the cost of a rollout — we quote that after the audit.
88
hours a month
roughly 11 working days
06
Common questions
A prototype of a single scenario usually takes a few days; a full rollout, one to two weeks and up. We give an exact timeline after the audit, once the integration scope is clear.
Then we'll pick one and set it up around your processes. If you already have a CRM, we work with it — there's no need to switch systems just to automate.
Only to the services involved in the scenario. You grant the access on your side and can revoke it at any moment.
Only what a given step needs reaches the model — never your whole database. We work through the API, where conversations are not used to train models. If the data is sensitive, those steps can be built without AI at all, on plain rules.
Every step is logged, so it's clear exactly where the process stopped. On support we watch for errors and fix them without waiting for you to report it.
That's exactly what we recommend: take one process, show a working result, and then you decide whether to expand.
That is exactly why we start with one process: people accept something that takes work off their plate far more readily than a whole new system. At rollout we walk the team through it and leave the documentation behind.
It depends on the process and the number of integrations — there's no standard price here. We quote after the audit, and the audit is free.
07
Tell us what needs automating
Describe the process in two sentences — on the audit we'll break it down step by step and tell you what can come off your team's plate right now.
The audit is free and commits you to nothing.