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.
Why decisions get made blind
Everyone has data. Almost no one has the time or hands to turn it into conclusions.
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 Expensive, slow, error-prone — and out of date by lunch anyway.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.
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
How we launch it
Connect the sources
Metrica, CRM, 1C, advertising, spreadsheets — read-only
Define the metrics
What revenue, a lead, and conversion mean for you — one shared vocabulary of numbers
Calibrate the reports
Brief format, alert thresholds, templates for your meetings
Run it daily
A brief each morning, instant alerts, questions in chat anytime
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.
Dedicated 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.
Autopilot 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.
Ongoing 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
Related reading
We cover this topic in more depth on the blog
AI Analyst or BI Dashboard: What Is the Difference
A dashboard shows charts and leaves the thinking to you. An AI analyst spots the deviation, works out the cause and answers questions in plain language. Where each one fits.
End-to-End Marketing Attribution: From Click to Revenue
Linking 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 heavyweight platform.
How to Adopt AI in Your Business: A Practical Guide
Where 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.
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.
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.