We speak EBITDA, not hype: up to –50% manual handling, –30–40% support load, and +7–12% to conversion/AOV (based on real cases and industry scenarios).
AI agents dramatically improve internal operations—documents, finance, hiring, IT helpdesk—delivering 3–5× faster search, –60% HR time, and –50% IT support load.
Reports/DSO/cash-flow in minutes → –25–30% reporting time; faster decisions and planning.
How it works
Connect data
CRM/ERP/BI, knowledge bases, external APIs.
Orchestrate logic
RAG, routing, post-processing, state management, quality monitoring.
Select models
Powerful/lightweight LLMs, embeddings, multimodality—fit to the process.
Integrate & launch
SaaS or on-prem, aligned with security and regulatory needs.
Architecture & security
Data sources include corporate knowledge bases, CRM/ERP, BI, and external APIs. Models (GPT-class and others) are accessed via API; our layer orchestrates logic and integrations (internal APIs, connectors, message brokers). Deployment options: cloud (SaaS) or on-prem; encryption, access control, and PII masking are standard.
Why us
Applied focus (department KPIs over “generic chatbots”), ready-made integrations with CRM/ERP/BI and document workflows, scalable architecture (containers, serverless), and response-quality monitoring.
CRM/ERP/BI, knowledge bases, public/internal APIs; relational and vector databases.
Chosen per task—powerful LLMs for complex flows, lightweight for volume; embeddings and multimodality.
Encryption, role-based access, masking; cloud or on-prem deployment.
We capture before/after KPIs (time, conversion, errors/returns, payroll) and report the delta.
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