We inventory the sources
CRM, ad accounts, finance, and site data are checked for access, identifiers, cadence, and compatibility.
AI analytics and forecasts
Traceable data summaries with assumptions you can inspect.
AI analytics can combine supported CRM, advertising, and finance data for reports, anomaly checks, and forecast ranges. Available views and conclusions depend on source access, identifiers, history, and data quality.
AI analytics and forecastsAuto-reports with conclusionsAnomaly detectionForecastsA shared dashboard
The task
What it is and who it is for.
We consolidate supported data sources and add an AI layer that summarizes changes, suggests likely causes and proposes the next checks. Forecasts are delivered as ranges with assumptions, not as guaranteed outcomes.
By industry
See the scenario in your context.
The process
From the request to a working version.
We show intermediate results early, so the logic can be checked before the final launch.
We define a supported analytics layer
The proposal includes only metrics, alerts, reports, and models that the reviewed data can support.
We test traceability and freshness
If the refresh pipeline is stable, scheduled summaries can link conclusions to metrics, timestamps, and documented assumptions.
Capabilities
What it can do
The final configuration is assembled from your process, data and the result you want to change.
Auto-reports with conclusions
Can summarize supported changes on an agreed cadence; proposed actions still require an accountable owner.
Anomaly detection
Configured thresholds and update cadence determine when a CPA or conversion alert appears.
Forecasts
Where history and stability are sufficient, models can show ranges for sales, demand, churn, or capacity under documented assumptions.
A shared dashboard
Compatible sources can appear in one view; unsupported systems and freshness gaps stay explicit.
“Ask your analytics”
Can answer within permitted connected data, with traceable context where supported; material decisions remain human-reviewed.
Projects with these capabilities.
Pricing landmark
A starting point before the brief.
from $300
An agreed analysis workflow for calls, chats, documents, reviews or reports from $300. Data volume, frequency, transcription and integrations affect the estimate.
The exact range is fixed after the task and dependencies are clarified.See the full pricingBefore we start
Questions that are worth answering now.
If your question is not here, Valera can clarify it or pass it to the team.
01AI analytics: what is included?+
An agreed analysis workflow for calls, chats, documents, reviews or reports from $300. Data volume, frequency, transcription and integrations affect the estimate. Sample data, analysis questions, the expected report and update frequency. We determine whether transcription and automated data collection are needed. Depends on the data, volume and analysis frequency.
02AI analytics: configurations, options and prices+
Інший / нестандартний функціонал: Custom quote. Додаткові можливості поза погодженою комплектацією. Вартість і строк визначаються після опису завдання. Basic AI analysis: from $300. Від $300: одне погоджене аналітичне завдання над визначеним набором даних із погодженим форматом результату. Наприклад, аналіз чатів, дзвінків або документів.
03AI analytics: scope boundaries+
Complex sources, transcription, integrations and automated reports affect the estimate. We agree on one deliverable without duplicating work.
04“How accurate are the forecasts?”+
Accuracy depends on history, data quality, stability and the forecast horizon. We validate against a holdout where possible and show a range, assumptions and confidence rather than one unexplained number.
05“Where does it get the data?”+
From what you already have: CRM, Google / Meta / TikTok Ads, GA4, financial spreadsheets, your database. We connect via API or export.
06“What if there are many systems and they don't talk to each other?”+
We first inventory the sources, access rights, identifiers and refresh cadence. Supported data can be normalized into a shared layer; gaps and incompatible sources remain explicit.
From the lab
Useful context on the topic.
AI for Business
AI Agents for B2C Sales: Automating Inquiry Handling and Boosting Conversions
Here's how AI agents automate B2C sales, which scenarios actually work, and why they outperform classic chatbots.
AI for businessHow much does an AI sales agent cost
Honest ranges, no "call us for a quote": what an AI sales agent does, what drives the cost, how much a launch runs (from $1,000) and when it pays for itself — with a worked ROI example.
AI for BusinessGPT-Red: What It Means for AI Agent Security in Business
GPT-Red is a new standard for testing AI agent security. Here's how it works for business and what actually changes in practice.
Next step
Show us the process that takes up time
Tell us which actions the team repeats manually, between which systems it moves data, and where delays occur. We will determine what can be automated.