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AI integration & process automation

ITBOX · Managed service · SLA 30 min

Artificial intelligence delivers real value only when it is connected to your data and your processes — not when it stays a generic chat open in a tab. We build AI systems that analyze company data, generate insights and make decisions in real time: reduced costs, optimized workflows, less repetitive work for people.

In practice, this means AI assistants that answer based on your internal documentation (RAG) — procedures, contracts, quotes, support history — chatbots that handle customers' frequent questions, automatic document processing (invoices, orders, forms) and workflow automations between the systems you already use: ERP, CRM, email, 1C.

For companies that work with sensitive data, we implement self-hosted solutions: the model runs on your infrastructure, and the data never leaves the company. You decide what goes outside — if anything does.

What we include

  • AI assistants on internal data (RAG)
  • Process automation (workflow)
  • Integration with existing systems
  • Support chatbots
  • Document processing
  • Self-hosted / private

How we work

We start with a free audit of your processes: where your team loses the most hours on repetitive tasks and what data already exists to automate them. We then agree on the plan and the SLA, implement the solution in stages — starting with the highest-impact case — and keep operating it 24/7, with monitoring and improvements as new needs arise.

Why ITBOX

AI connected to your real infrastructure. We are the same team that administers your servers and network, so integration with existing systems does not get stuck at "we do not have access". We offer self-hosted options for sensitive data and start from concrete processes, measurable in hours saved — not from generic promises about AI.

Case studies with this service

Strategy · TrendsIT trends 2026: what really matters for businessRead the case study →Artificial Intelligence · AutomationAI agents and automation for business: a practical 2026 guideRead the case study →Cloud · MicroservicesRapidasig: from physical servers to cloud microservices, with zero downtimeRead the case study →Logistics · AINVA TIR Company: a Transport Management & Logistics app with AIRead the case study →

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