AI implementation for business
We help you move from interest in AI to a working process: choose a use case, prepare data, run a pilot and bring the solution into production.
Where AI creates value
AI is useful where decisions repeat, there is a large volume of text or data, and the result has a clear endpoint. We start with the process, not the model.
- Customer support: first response, ticket routing, knowledge base search.
- Sales: lead qualification, email preparation, manager prompts.
- Documents: field extraction, completeness checks, version comparison.
- Analytics: summaries, anomalies, answers to questions about data.
How implementation works
1. Diagnosis
We examine the process, data, systems and constraints. We fix the success metric: response time, processing cost, conversion or the share of manual work.
2. Pilot
We build a minimal solution on real data and test quality, speed and cost on a limited scope before scaling.
3. Integration
We connect the model to CRM, 1C, email, the knowledge base or an internal portal. Roles, access and an action log are configured.
4. Operations
We train the team, add quality control and update scenarios as the data grows.
What you get
- a process and scenario map with an effect estimate;
- a working pilot, not a presentation;
- integrations with your systems;
- a control policy and clear metrics.
Frequently asked questions
Do we need to replace CRM or 1C?
No. In most scenarios AI connects to existing systems through an API or an intermediate layer. We suggest replacing a system only if it blocks the process.
How much data is needed for a pilot?
It depends on the scenario. A knowledge-base assistant needs documents and sample questions. Forecasting needs historical data with known quality.
Who is responsible for model errors?
Responsibility stays with the business, so we design controls: rules, checks, an action log and human participation in critical steps.
Discuss AI implementation
Describe the process you want to speed up. We will suggest a pilot scenario and assess the data.