Overview of directions · where to start

You've spent a year reading about AI for business and still don't know what applies to you

Every week brings a new article about how AI is changing everything. None of them answer your actual question: which specific problem in your company does this solve, and how much will you make from it. This page is a breakdown by function: sales, support, documents, quality control. What each direction actually delivers, what it costs to start, and where to begin at your company's size. No promises of "transformation" — just numbers from implementations we ran ourselves.

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Projects in production: 90+
First result: 2 weeks
Review of your processes: ₽0

Overview of directions · where to start — AI implementation diagram

01Sound familiar?

The problem isn't that you don't believe in AI. It's that you don't know where to apply it

You've already gotten past the skepticism stage. You've seen AI write copy, parse spreadsheets, answer in chat. The question hasn't been whether it works for a long time now. The question is whether it works on your funnel, with your product catalog, with your twenty employees — and whether in three months you'll find you've paid for a dashboard nobody uses.

You ask vendors. One sells chatbots, because that's what they build. Another sells a voice robot, because that's what they build. A third brings a forty-slide deck where the word "ecosystem" comes up more often than the name of your industry. None of them started with the question of where exactly your money is leaking. They all started with what's on their price list.

So you keep postponing. Another quarter, another six months. Not because it's expensive — you'd find ₽90,000 for a pilot. Because you don't want to explain to a partner or a board why you spent money on something that "seemed trendy." You don't need a product. You need someone who will look at your actual processes and tell you straight: this pays off in two months, and don't touch that one — doing it by hand is cheaper.

02The cost of doing nothing

How much are you losing while you read this page

Until you pick a direction, money leaks in the most expensive place there is — inbound inquiries nobody got around to. Run the numbers on your own business.

Inquiries per day 30

Lost before a reply 50%

Average order value ₽70,000

Lost revenue per month — per year — —

A rough estimate on your inputs — we calculate exact numbers in a free consultation.

Get this money back

03How it will look

What a company looks like once AI is sitting in the right place

Tuesday morning. You open one screen. Overnight, nineteen inquiries came in — all got a reply within a minute, seven were qualified and are already sitting in your CRM marked "hot," and the rest got what they came for without needing a human at all. Below that: yesterday's sales calls, broken down by script stage. Three conversations are flagged red, each with the quote where it fell apart. You forward the list to your sales manager in one message. Below that: documents AI prepared for review overnight. All of this took you eleven minutes. Then you head to a meeting about a new direction — one you hadn't gotten to in two years, because your hands were full with "what's going on in sales." The point here isn't automation. The point is that the company keeps running exactly the same way on the day you're not in it.

Now

Choosing a directionfrom vendor articles and pitch decks

Reply to a night inquiryin the morning, if the rep remembers

Measuring the effect"feels a bit easier, I guess"

Your role in operationsyou are the bottleneck

With AI

Choosing a directionfrom a loss map built on your numbers

Reply to a night inquiry30 seconds, around the clock

Measuring the effecta metric you set before launch

Your role in operationsa morning summary, decisions on facts

04How it works

Three steps, and you don't write a single line of code

01 · 14 days, ₽0
Automation roadmap
We break down your processes: where inquiries come from, where they get stuck, what an hour of each bottleneck costs you. The output is a document ranking directions by payback, with an honest note on where AI isn't needed and fixing it by hand is cheaper. No strings attached — you decide what happens next, including doing nothing.
02 · pilot
One scenario, one metric
We take the top direction from the roadmap — the one that pays back fastest. We launch it in 2 weeks on one segment. You set the success metric before launch: response speed, conversion, hours of manual control. You see the result on your own data before deciding on scale.
03 · system
A connected system instead of scattered tools
We connect the working scenario to the rest: inbound handling passes a qualified lead to sales, speech analytics feeds objection data back into your scripts. We fine-tune for your specifics, run it, and adjust it whenever your offer changes.

05Proof

He started with the same question too: "what can we actually automate"

Edemium case · personal bankruptcy

A law firm handling personal bankruptcy cases. A steady flow of inquiries from ads, reps on the phone, a CRM that supposedly tracked everything.

The owner came to us with the exact phrase most people use: "We know we need AI, but we don't know where to put it." He had three proposals on his desk — for a chatbot, a voice robot, and "AI analytics." All three looked convincing. None of them answered which one would make money first.

We didn't sell him any of the three. For two weeks we studied what happened to an inquiry after someone submitted a form. What we found was mundane: inquiries came in around the clock, including nights and weekends, but got handled during business hours, in order. By the time of first contact, the person had usually already messaged two other companies. Fewer than half ever made it to a conversation with a rep — the rest fell off at a stage nobody was formally responsible for.

So the problem wasn't the script, wasn't rep training, and wasn't the ads. The problem was the time between the inquiry and the first reply. That became the pilot — one direction, one metric: speed of first contact. We set the other two proposals aside, telling them plainly that those wouldn't pay off yet.

Two months later: response time — 30 seconds at any hour, lead loss dropped from 60% to 15%, conversion to signed contract rose from 15% to 35%. In money — plus ₽3M a month, on the same ad budget and the same headcount. Only after that did we move on to call review and documents.

"I was sure we needed a robot to make outbound calls. Turned out we just needed to answer at night. Glad someone told me that before I paid for the robot."

Real case, client name withheld under NDA. Your numbers will depend on inquiry volume, your niche, and your current response speed.

Get the same result

06While you're deciding

What's happening while you choose a direction

Inquiries keep coming in at night and on weekends and keep going cold by morning — you're paying full price for that traffic and only getting the slice you managed to reach in time. The rep who's been fumbling the "too expensive" objection for three months still doesn't know it, because calls only get spot-checked. Your strongest employee, the one half your results depend on, remains the only person who knows how it's done right — and takes that with them when they leave. There's another line item, too: you. The hours you spend on manual reconciliation, reading through chat logs, figuring out "why did this drop" are hours not spent on a new direction. And one more thing, less visible: a competitor down the street already put AI on their inbound. They didn't get smarter than you — they just reply first. In markets where a customer messages three companies at once, that's enough.

07I know what you're thinking

Honest answers to the biggest doubts

We're a small company. AI is for large corporations with budgets

The opposite is true: the smaller the company, the more expensive every lost inquiry is, and the more you rely on specific people. In a large corporation, a dropped lead disappears into the statistics; for you, it's a noticeable chunk of the month. At a small headcount, you should start with one segment, not "AI implementation" as a whole: usually that's inbound handling, because the effect shows up within two weeks and doesn't require changing anything else around it.

I don't know where to start. There are too many directions

That's exactly why the first step isn't buying a tool — it's an automation roadmap. In 14 days we break down your processes and hand you a list of directions ranked by payback — with an honest note on where AI isn't needed at all and a process fix would be cheaper. It costs ₽0 and carries no obligation: half the value of the document is what it crosses off the list.

We tried ChatGPT ourselves. Didn't do much

Because a chat window in your browser is a tool for a person, not a process in a company. It knows nothing about your product catalog, can't see your CRM, doesn't remember yesterday's conversation with a customer, and doesn't do anything unless someone types into it. The difference between "we tried a chatbot" and an actual implementation is integration and data: connecting to your systems, training on your materials, and running the process without a human in the loop.

I'm afraid we'll spend the money and nothing will change

That's why the pilot is structured this way: you set the success metric before it starts — response speed, conversion, hours of manual review. If you don't see results on that metric, we refund the pilot. The sequence itself also protects you from wasted spend: a free roadmap first, then one scenario with measurement, and only then scale. If the roadmap shows there's no payback, we'll be the first to say so.

Our staff will think they're being replaced and push back

In the areas we recommend starting with, AI takes over work people already dislike doing: answering the same question at 2am, manually reconciling documents, listening to call recordings. Your strongest people win first — their results stop being a matter of a manager's opinion and get backed by facts. We talk through how to frame this with the team before launch: if the scoring becomes a pretext for penalties, it's the department that breaks, not the AI.

✓

A risk-free pilot for you

We launch the pilot in 2 weeks. You set the success metric. Don't see results on it — we refund the pilot. The risk is on us, not you.

08Cost

How much it costs to find out what you actually need

An in-house "automation" hire or an outsourced consultant: a salary or invoice every month, a strategy deck in a quarter, and zero working scenarios delivered. Automation roadmap — ₽0 and 14 days, delivering a list of directions ranked by payback. Pilot — from ₽90,000 and a working scenario with a measured metric.

Consultation

₽0Process review + payback calculation

Funnel review and loss points
Lost revenue calculated in rubles
An honest verdict: where AI will pay off

Get it free

StartScenario pilot

from ₽90,000Payback in 2–4 months

Automation roadmap — ₽0, 14 days: process review, loss points, directions ranked by payback
Pilot — from ₽90,000: one direction, launched in 2 weeks, you set the success metric
You see the result on your own data before deciding on full implementation

Launch a pilot

Turnkey

Custom quoteFull system + ongoing management

Turnkey — quoted individually: several directions connected together, integration with your CRM, telephony, and other systems
Model fine-tuning for your niche, product catalog, and internal procedures
Ongoing management and support: we adjust scenarios whenever your offer, processes, or team change

Discuss your project

09Frequently asked questions

FAQ on AI for business

What business problems does AI actually solve today?

Four directions deliver predictable results. First — handling inbound inquiries: instant reply, qualification, CRM logging around the clock. Second — quality control: speech analytics reviews 100% of calls against your checklist instead of spot-checking a handful. Third — working with documents and data: field extraction, reconciliation, prepping standard packages. Fourth — an internal knowledge base: an employee gets an answer based on your procedures in seconds instead of digging through folders. Everything else sold under the AI banner usually either reduces to these four or doesn't pay off yet.

Where should companies of different sizes start?

Under 10 people — start with inbound handling: you don't have staff for round-the-clock replies, and every inquiry that goes cold costs you a lot. 10 to 50 with a sales team — start with speech analytics: at this scale you can no longer listen to every call, but you're still paying for every rep. 50 and up — start with a process map: at that size, losses are usually not in one place, and guessing costs more than diagnosing. The universal rule is the same: the first scenario is the one where the effect is measurable within two weeks.

How much does AI implementation cost and when does it pay off?

A pilot of one scenario starts from ₽90,000, launched in 2 weeks. Full turnkey implementation is quoted individually and depends on the number of directions and depth of integration. Payback on pilots is usually 2–4 months, but that figure shouldn't be taken on faith — it's calculated on your funnel: inquiry volume, average order value, and current losses. The calculation is included in the free automation roadmap, and if the numbers don't work, we'll say so before you pay.

Do we need to switch CRM, telephony, or other systems?

Usually no. We connect to what already works: amoCRM, Bitrix24, Mango, Telfin, 1C, Telegram, WhatsApp, email, your website. During the automation roadmap we check your specific stack and tell you straight if a custom connector or workaround is needed somewhere. Replacing working tools for the sake of implementation is a bad idea — it doubles the risk and stretches the timeline.

What happens to customer data and personal data requirements?

We work out options for your compliance level: an on-premise setup on your side, Russian cloud providers, or anonymizing personal data before processing. The storage and processing scheme is fixed in the contract before the pilot starts, not after the fact. If you have an internal PII policy or security team requirements, we work within them, not around them.

Be the first in your niche to stop choosing between articles and start running the numbers

In most companies, the AI decision gets made one of two ways: either people wait until it feels "clearer," or they buy whichever direction was pitched best. Both end the same way — a year later, nothing's changed, except the competitor down the street now replies to a customer in thirty seconds while you take until morning. The difference between you and them isn't budget or technology: it's that someone spent two weeks looking honestly at their own processes. That doesn't produce an instant revenue spike. It removes the biggest cost of all — the time spent choosing instead of checking.

I want to be first in my niche

10Connection point

We'll review your processes for free and tell you what you need

14 days, ₽0, no obligation. We look at how your inquiries, sales, and routine work are set up, and show you on paper: which direction pays off first, what that means in money on your numbers, and what's not worth automating at all. I run these projects personally — Vladislav Tereshchenko, 90+ services in production. From there, you decide.

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