Articles

Google analyzed 14.65 million AI interactions. Learn why usage does not equal automation and how to choose tasks for a business pilot.

A review of 89 publications on AI and books shows where publishing loses technical depth and how to audit editorial AI workflows with VERTKA.

Compare the total cost of ownership for cloud and on-prem LLMs, including tokens, GPUs, team needs, security, SLOs, and break-even.

Learn how to implement AI in procurement and tenders with document review, requirements matrices, proposal support, metrics, and risk control.

How to implement AI for employee onboarding and training with knowledge bases, learning paths, practice, metrics, security, pilots, and acceptance criteria.

Learn how to implement video analytics for workplace safety, including PPE monitoring, hazardous zones, cameras, false alarms, data, and testing.

Learn how to evaluate a RAG system with retrieval precision and recall, faithfulness, citations, answer completeness, and ongoing monitoring.

Learn how to write an AI agent SOW with intents, sources, tools, permissions, human review, security, evals, logs, and acceptance criteria.

How to run an AI MVP in 30 days: prerequisites, week-by-week planning, evaluation, integrations, risks, and decisions to scale, revise, or stop.

How to choose a channel for an AI assistant across WhatsApp, VK, Telegram, and MAX, with APIs, integrations, metrics, and a pilot.

How private clinics can implement AI for scheduling, EHR workflows, chatbots, patient safety, data handling, metrics, and pilot rollout.

See how legal teams can use AI for contracts, redlining, research, RAG, confidentiality, source checks, metrics, and pilots.

Learn how to implement voice AI for call centers, including telephony, ASR/TTS, latency, workflows, CRM, confirmation, handoff, and rollout.

Learn how to implement AI in a construction company, from documents and RAG to scheduling, procurement, computer vision, and pilot projects.

How to use AI in HR and talent acquisition with practical use cases, data, ATS integration, human review, fairness, metrics, and a pilot plan.

Learn how to automate document recognition with OCR, classification, field and table extraction, validation, human review, and ERP integration.

Learn how to implement computer vision for quality control in manufacturing, including defects, cameras, lighting, data, metrics, edge integration, and testing.

Compare RAG, fine-tuning, and prompt engineering for business use cases, and see which approach fits knowledge, behavior, or output format gaps.

How a business RAG system works, from data sources and access permissions to chunking, hybrid search, reranking, citations, and evaluation.

Learn how to implement AI in customer support with self-service, routing, agent assist, knowledge base support, handoff, and pilot rollout.

How to implement an AI chatbot on your website: choose FAQ, RAG, or agent setup, prepare your knowledge base, test, and pilot it.

How to connect an AI agent to Bitrix24 or amoCRM: workflows, REST API, webhooks, permissions, queues, idempotency, testing, and pilot rollout.

Learn how to audit processes before AI with an AS-IS map, baseline, data review, integrations, risks, prioritization, and pilot-ready outputs.

What drives AI implementation costs: project stages, CAPEX and OPEX, TCO, three example calculations, and a checklist for comparing proposals.