What can be automated?
Sales, support, processing of incoming requests, knowledge base search, quote preparation, documents, reports, data reconciliation, and repetitive operations.
agent layer AI for Processes
AI automation for business without disrupting real operations
We design and deploy AI agents that work with documents, CRM, knowledge bases, tickets, reports, and internal company policies.
How we implement it
We analyze processes, select impactful scenarios, integrate data, build a prototype, test responses, add actions via API, and launch the pilot.
What’s inside the solution
LLM, RAG, vector search, access roles, logs, integrations with CRM/ERP/1C, Telegram, or web interface, admin panel, and quality metrics.
Typical AI Agent Pilot
- AuditIdentify 1–3 processes where AI delivers results the fastest.
- DataPreparing documents, knowledge base, access rights, and sources.
- AgentWe’re assembling the assistant, prompts, tools, and integrations.
- LaunchLaunch the pilot, gather feedback, and refine the scenarios.
start point
Send the process you want to offload.
We’ll return with a short route: what data is needed, which agent fits, where the first effect will occur, and how to safely launch the pilot.
Request routefree launch deck
Launch project map
Short presentation for leadership: how to prioritize what to launch first, what data is needed, and how to turn an idea into an MVP or AI automation.
Task diagnosis, format selection, 2–8-week timeline, data list, and integrations.