AI employee · analyst
AI Analyst: numbers that speak in plain words
It brings data from Metrica, your CRM, 1C, and ad accounts into one picture. Every morning, a brief on the previous day; the moment something's off, an instant alert. It answers any question about the business with figures and a clear takeaway — not a 40-column data dump.
- A brief every morning
- Alerts on anomalies
- Ask a question, get an answer in words
Why decisions get made blind
Everyone has data. Almost no one has the time or hands to turn it into conclusions.
| Характеристика | Значение |
|---|---|
| Reports built by hand | Every Monday someone spends half a day copying numbers from five systems into Excel. Expensive, slow, error-prone — and out of date by lunch anyway. |
| Anomalies caught too late | An ad campaign burned the budget, conversion dropped, the warehouse overstocked — you learn it from the monthly report, once the money is already gone. |
| An analyst is an expensive luxury | A good analyst costs from 120,000 ₽ a month, and a small business simply can't keep them fully occupied. Yet questions about the numbers come up every day. |
Tasks
What the AI Analyst does
It connects to your data sources read-only and works like an analyst on a daily basis — except it never gets sick or quits.
- Brings data from Metrica, your CRM, 1C, ad accounts, and spreadsheets into a single picture
- Sends a morning brief: revenue, leads, conversion, advertising — compared against prior periods
- Catches anomalies and alerts immediately: a spike in bounces, a drop in conversion, budget overspend
- Answers questions in plain language — "why did margin fall in March?" — with figures and a breakdown
- Prepares reports for team meetings and investors in your template
- Builds forecasts from seasonality and trends: sales, inventory, cash-flow gaps
Human vs AI employee
| Weekly report | 4–6 hours of work | ready by 8 a.m. on its own |
|---|---|---|
| Spotting an anomaly | days or weeks | the same day |
| Cost | from 120,000 ₽/mo | from 25,000 ₽/mo |
| Answer to a data question | wait until they're free | instantly, in chat |
How we launch it
| Характеристика | Значение |
|---|---|
| 1Connect the sources | Metrica, CRM, 1C, advertising, spreadsheets — read-only |
| 2Define the metrics | What revenue, a lead, and conversion mean for you — one shared vocabulary of numbers |
| 3Calibrate the reports | Brief format, alert thresholds, templates for your meetings |
| 4Run it daily | A brief each morning, instant alerts, questions in chat anytime |
Guided launch
The first months — with a dedicated manager
The AI is not launched “as is” and left unattended. For the first 1–3 months a dedicated manager runs your process: tunes the system to you, checks every result and fixes mistakes — while the AI learns on your real data in parallel. Nothing goes live without a human in control.
| Характеристика | Значение |
|---|---|
| 1–3 monthsDedicated manager | A dedicated specialist runs your process by hand together with the AI: tunes it to your documents and rules, checks every result, corrects mistakes. The system learns on your data. |
| Decision pointAutopilot or ongoing support | Once quality is stable, you decide: move the process to autopilot (cheaper, the AI works on its own, the manager on standby) or keep permanent support. |
| BeyondOngoing oversight, if you want it | For critical processes — primary documents, paid ads, contracts — many keep the manager for good: they backstop it, develop scenarios and own the result. |
This removes the main fear of automation — “what if it makes a mistake”. Until the AI has proven its accuracy on your tasks, a human is accountable for the result. We agree the format and cost of support around your process.
Where your data is stored
Financial data is the most sensitive thing a business has. The AI Analyst is installed on your own server or on our platform in Russia, with read-only access to the sources that can be revoked at any moment. When complex queries go through external models, figures and names pass through a two-stage anonymization — what leaves the perimeter is patterns, not your actual amounts.
More about a local neural network on your own server →FAQ
How is this different from a dashboard in a BI system?
A dashboard shows charts — you still have to think them through yourself. The AI Analyst takes the next step: it notices the deviation on its own, digs into the cause, and writes the conclusion in words. And you can ask it a question in plain language, with no SQL or report builders.
Our data is scattered across Excel and different systems. Is that a problem?
That's the normal situation, and it's exactly what we work with. We connect whatever connects via API and pull the rest through regular spreadsheet imports. There's no need to put your data in perfect order first: we start with what you have.
Does it ever get the numbers wrong?
The arithmetic is done by code, not the AI — sums and percentages are deterministic. The AI interprets the result and writes the conclusions. During onboarding we reconcile its reports against your current numbers until everything matches.
What do you need from us to start?
Read-only access to the sources and one hour of conversation about which metrics matter most to you. The first working brief usually comes within a week of getting access.
Can it run offline, in a closed environment?
Yes — that's our specialty: a local AI on your own server, with data that never leaves the perimeter. It's for banks, manufacturers, and anyone for whom a closed environment is mandatory. More on the local AI server page.
Related reading
We cover this topic in more depth on the blog
- AI Analyst or BI Dashboard: What Is the DifferenceA dashboard shows charts and leaves the thinking to you. An AI analyst spots the deviation, finds the cause and answers questions in plain language. Where each fits.AI adoption · 8 min read · Read →
- End-to-End Marketing Attribution: Click to RevenueLinking advertising, enquiries and sales into one chain so you optimise for profit instead of clicks. What it shows, and how to assemble it without a heavy platform.Advertising · 8 min read · Read →
- How to Adopt AI in Your Business: A Practical GuideWhere AI actually pays for itself, the three deployment models, the five mistakes that sink projects, what it costs, and a 30-day plan for the first process.AI adoption · 14 min read · Read →
See it on your own numbers
Give us test access to Metrica or a CRM export — we'll build a demo brief for your business. Free of charge.
Contact
Let us try it on your data
Describe the task and send a couple of typical documents or examples — we will show how the system handles them, before any contract.
- info@stitex.com
- Telegram
- @StitexBot
- Response time
- Within 1–2 business hours
B2B & Commercial:
- All prices include 22% VAT
- Electronic tax invoices & formal agreement
- 3-month warranty on completed code