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Your Business Central, SAP, or Dynamics 365 F&O system works fine... until you calculate what manual processes actually cost. European manufacturers are losing €500K+ annually on "ERP gaps" they don't even know exist. Here's how to identify and close them.

Connect any ERP to intelligent automation in 30 days. This comprehensive guide shows exactly how Lleverage integrates with Business Central, SAP, Infor, Dynamics 365 F&O, AFAS, and Navision—turning your existing systems into AI-powered automation platforms. No rip-and-replace. No integration nightmares. Just results.

The UK leads Europe in AI investment with £2.9 billion funding in 2024 and 432,000 companies using AI technology. This comprehensive guide covers government support (£2+ billion AI Action Plan), industry adoption rates (93% in IT/telecoms, 83% in finance), successful case studies, and practical implementation strategies for British businesses looking to automate operations.

European manufacturers are saving €300K+ annually by automating 8 critical processes with AI: order creation, invoice processing, support queries, production planning, document verification, quotes, data extraction, and back-office workflows. Based on real implementations at companies like Koninklijke Dekker and Oude Reimer, this guide provides a practical 90-day roadmap to transform manual operations into intelligent automation.

Wholesale, manufacturing, and logistics companies are sitting on a goldmine of automation opportunities in their back offices. This comprehensive guide reveals six critical processes that can be automated immediately: sales order creation, invoice processing, support query handling, document verification, production planning, and quote generation. With real-world examples showing 30-50% cost reductions and 60-80% faster processing times, learn how AI-native automation platforms can transform these manual, error-prone processes into competitive advantages. Includes a practical 30-day implementation roadmap and industry-specific strategies for each sector.

Zapier struggles with complex workflows, document processing, and intelligent decision-making. This guide explores 5 superior alternatives: Lleverage (AI-native automation), Make (visual workflows), Power Automate (Microsoft integration), n8n (open-source control), and Workato (enterprise scale). Learn which platform fits your needs and see real examples of companies saving €300,000+ annually.

The Netherlands leads Europe in AI automation with 95% of organizations running AI programs. This guide explores how Dutch businesses are transforming operations, features real case studies, government investment of €276 million, and provides practical implementation steps for companies looking to automate their processes in 2025

Koninklijke Dekker revolutionized their inside sales operations by transforming Excel chaos into intelligent automation, proving that even traditional industries can embrace the AI future.

This guide provides a 5-step framework for transitioning from manual workflows to AI-powered automation. With real case studies showing 60% faster processing and €300,000+ savings, it helps businesses implement AI automation in days rather than months while avoiding common pitfalls.

Most businesses struggle with n8n's technical complexity and maintenance requirements. This guide explores 15 superior alternatives, from AI-native platforms like Lleverage that let you create automations in plain English, to user-friendly options like Zapier and Make. Includes pricing comparisons, real-world ROI examples, and implementation guidance to help you choose the right automation solution for your business needs.

European businesses face complex AI compliance challenges with the EU AI Act and GDPR creating new regulatory requirements. This guide covers risk-based classification, sector-specific requirements, and practical implementation strategies. While 74% of European companies start AI projects, only 14% reach production due to compliance barriers. Learn how to build AI security frameworks, manage risks, and turn compliance into competitive advantage.

Manual data entry is rapidly becoming obsolete as AI automation transforms business operations in 2025. With 7.5 million data entry jobs at risk and AI achieving 99% accuracy versus 85-95% human rates, companies are saving hundreds of thousands annually. This guide explores hidden costs of manual processes, examines leading industries, and provides implementation steps for transitioning to intelligent automation that creates strategic opportunities rather than eliminating jobs.

Most companies in 2025 still run on spreadsheets despite automation investments. While 91% have digital initiatives, only 30% succeed because they automate broken processes instead of fixing them. AI-native platforms are changing this by letting businesses describe automations in plain English, delivering real results versus manual "automation theater."

Most businesses are unknowingly hemorrhaging money through their invoice processing operations. This comprehensive guide reveals how manual invoice processing costs companies far more than they realize - with hidden expenses like late payment penalties, lost early-pay discounts, and fraud often exceeding visible labor costs by 300%.

Traditional chatbots frustrate customers and create more problems than they solve. This guide explains why 75% of customers prefer humans over bots, how AI-native automation differs from rule-based chatbots, and provides a practical framework for implementing customer support automation that delivers real ROI, with case studies showing $50M+ productivity gains.

We eliminated manual recruitment screening by using our own AI voice agent technology, saving €35,000+ monthly. Our voice agent conducts natural conversations with candidates, provides full transcripts with values-based grading, and makes hiring recommendations. This real-world case study demonstrates the power of practicing what we preach in AI automation.

This comprehensive guide provides a 7-step framework for building internal AI agents that automate business workflows. Learn how to identify automation opportunities, choose the right approach, and deploy AI systems that deliver measurable ROI - with real examples of companies saving hundreds of thousands through intelligent automation.

AI document processing has evolved from a nice-to-have feature to a business-critical capability. This article explores how modern AI-native solutions are eliminating manual data entry, achieving 95-99% accuracy, and delivering dramatic ROI by understanding documents the way humans do. Learn how companies across industries are implementing this technology to save thousands of hours and transform their operations.

Amsterdam-based Lleverage has secured €3 million in funding from Dutch tech investor Peak, bringing their total investment to €5 million in less than a year. Their innovative platform enables companies to automate complex business processes using natural language instead of code. With over 2,000 integrations, Lleverage is democratizing AI automation for small and medium-sized enterprises across Europe.

This in-depth comparison examines the fundamental differences between UIPath's traditional RPA approach and Lleverage's AI-native automation platform. Learn about implementation requirements, cost differences, technical capabilities, and ideal use cases to determine which solution best fits your business needs in 2025.RetryClaude can make mistakes. Please double-check responses.

This comprehensive guide breaks down how to automate complex workflows using AI through a practical 5-step approach. You'll learn how to identify high-value automation candidates, map processes effectively, choose between AI workflows and agents, implement solutions without specialized expertise, and measure success beyond just cost savings. Features real-world examples across legal, sales, retail, and manufacturing with concrete ROI metrics.

Most companies waste 30-40% of their AI investments by measuring the wrong things. This guide provides a comprehensive six-part framework for measuring AI automation ROI, covering direct cost savings, productivity gains, revenue impact, risk reduction, employee experience, and customer experience. Complete with case studies, implementation steps, and common pitfalls to avoid, this article helps business leaders capture the full value of their automation investments beyond simple cost reduction.

Traditional automation tools are hitting their limits as AI-native solutions transform what's possible. This comprehensive comparison of n8n, Lleverage, Make, and Zapier shows which platform is best suited for your business needs in 2025 - from simple app connections to complex AI-powered workflows that adapt and make decisions autonomously.

"Vibe Automation" - create complete AI workflows by simply describing what you need. No coding required. Just type your automation needs in plain English and get an instant, ready-to-use solution with API endpoints and user interfaces. Try it today and transform how you automate.

Discover how AI-powered knowledge bases eliminate the paradox of information overload yet knowledge scarcity, saving employees 8-10 hours monthly and delivering measurable ROI across departments by providing intelligent, contextual answers instead of mere search results.

Discover the crucial differences between AI and traditional automation, their business impact, and how to implement the right automation strategy for your organization in 2025.

Explore the key differences between AI workflows and AI agents, their applications, and how to choose the right automation solution for your needs.

In conversations with over 150+ tech executives across Europe in the last 6 months, we’ve uncovered revealing patterns in how European companies are approaching AI adoption. These insights, gathered from CEOs, CTOs, CPOs, COOs and innovation leaders across multiple tech sectors, provide a ground-level view of the challenges, strategies, and opportunities shaping Europe’s AI transformation and form the basis for this report.

After speaking with over 100 product and tech leaders about their AI ambitions, I noticed something striking: while everyone's talking about AI, very few companies are actually deriving real value from it in their products. In this article, I break down the practical steps SaaS companies can take to successfully integrate AI, based on real-world experience and learnings. From team composition to product integration and legal considerations - consider this your practical guide to making AI work in your SaaS product in 2024.

Founded and funded by successful software entrepreneurs and prominent angels, Lleverage is set to make AI development accessible to every company.