Lub System Blog

Concrete steps for providers and deployers to prepare for Article 50 transparency obligations under the AI Act (applicable from 2 August 2026).

Overview of transforming virtualization as a starting point for modernizing IT architecture, optimizing costs and preparing infrastructure for new workloads including AI solutions.

Overview of roles for chatbots, AI assistants and autonomous agents in B2B customer service, with practical rollout order and common pitfalls.

How to build internal contextual search with AI that returns answers, speeds IT work and improves time to information.

AnovaX runs entirely on the desktop, using LLM planning, agent isolation and adaptive recovery to secure task automation.

How companies use AI in IT support - from chatbots to autonomous agents automating password resets, access provisioning and diagnostics.

Use AI to turn a single NPS number into precise insights from customer comments-faster and at scale.

AI-enhanced RPA turns back-office bots into end-to-end automators that understand documents, make decisions and cut manual work.

How to use AI agents in n8n and Make to automate lead qualification end-to-end - from email to CRM and follow-up.

How AI shifts contract analysis from extracting clauses in single files to managing contract risk across an entire portfolio.

Practical guide: workflows, tools and security for AI translations to keep terminology consistent and protect sensitive data.

How to deploy AI while complying with GDPR and the AI Act: inventory, data minimization, contracts and human oversight.

How AI reduces incident detection and response time, prioritizes alerts and automates SOC actions with autonomous agents and LLM support.

How AI demand forecasting helps logistics firms cut excess inventory and stockouts by integrating with ERP and WMS.

Practical AI uses in warehouse and transport that in 6-12 months cut costs, shorten routes and boost operational efficiency.

How AI reduces delivery times and optimizes warehouses: route optimization, load planning, dock scheduling and smart slotting.

How AI virtual buddies automate onboarding and training while keeping human oversight and improving ramp-up time.

How to use AI as a virtual 'buddy' in onboarding and training to boost efficiency while keeping the human element intact.

How AI automates CV screening in ATS, speeds preselection and helps HR shortlist candidates while keeping recruiter oversight.

How to use AI for CV screening to improve recruitment: semantic matching, human-in-the-loop process and skills-based candidate fit.

How AI makes project resource planning and scheduling more dynamic and predictable by forecasting workloads, risks and adjusting timelines.

AI automates project reporting by integrating data across tools, creating live dashboards and tailored reports for stakeholders.

How AI reduces delays, budget overruns and client loss in B2B projects by predicting risks from CRM, financial and project data.

Context Graph architecture: detect changes, rank insights by urgency and persona, and surface actions before workers ask.

Combine classic SEO with AI optimization to boost brand visibility and get cited in AI search answers and language models.

How AI improves marketing attribution to optimize budgets, increase ROAS and analyze cross-channel customer journeys.

How to use AI to hyperpersonalize transactional and lifecycle emails in B2B to boost retention and revenue.

Treat AI in PPC as a data system: design conversions, feeds and signals to improve targeting, costs and scalability.

How to apply AI in B2B content marketing to truly support sales - from research and content generation to personalization and analytics.

How chatbots and AI assistants in B2B shorten response times, reduce workload, and support sales and lead qualification.

How to automate pricing and quoting with AI while keeping margin control, via ERP/CRM integration and historical data.

How conversation intelligence analyzes sales calls, supports coaching, automates documentation and speeds up deal closures in B2B sales.

How AI improves sales forecasting, organizes the pipeline, prioritizes opportunities and reduces surprises at the end of the quarter.

How AI streamlines B2B lead scoring and qualification so sales reps receive only the highest-potential opportunities.

How AI speeds up website creation and improves UX - a tool for faster iterations, content generation and testing, not a replacement for designers.

How AI improves internal IT search: semantic search, vector DBs and private GPTs that deliver faster, consolidated answers.

How AI streamlines helpdesk work: chatbots, ticket classification, generative AI and measurable benefits for IT support teams.

Use AI to link NPS with comment analysis and automate prioritization and reporting for CX teams.

How AI turns dispersed feedback and NPS comments into actionable insights, speeding responses and prioritizing fixes.

How combining RPA and AI speeds up back-office tasks: document understanding, case classification and scaling operations without adding proportional headcount.

AI agents in n8n and Make enable semi-autonomous processes-ticket triage, classification, integrations-and offer practical design and control tips.

How AI transforms contract analysis-from manual review to intelligent playbooks, data security and AI Act compliance for legal teams and firms.

How to deploy verifiable, multi-layer behavioral oversight combining authorization, owner constitutions, and site action contracts.

How to apply AI for document localization while maintaining consistent terminology, style and legal control.

Introducing capability slice and a data-evaluation closed loop enables precise localization and repair of LLM capability gaps.

Build a scalable localization process with AI: specialized NMT, dubbing solutions, on-device AI and human-in-the-loop quality control.

How to build a GDPR- and AI Act-compliant data protection program: inventory, data rules, procedures and documentation.

Guidelines for Compliance teams on GDPR and the AI Act: data minimization, risk documentation and human oversight for generative AI.

How a small parameterized world model supports API-based LLMs and reduces hallucination propagation in language agents.

Overview of compositional behavioral leakage and testing recommendations for prompt-composed agent systems.