Automation-En — TechCom

Business event-driven integration: evaluating Kafka versus message queues

Fri, 31 Jul 2026 06:11:12 +0300

In enterprise architecture, the speed and reliability of data exchange between systems determine competitiveness. Companies, especially in the financial sector, deal with growing volumes of information, demands for instant processing, and the need to ensure a high level of cybersecurity. In this context, event-driven architectures are becoming the standard, but selecting the right tool for event integration – Apache Kafka or simpler message queues – requires deep analysis.

Applying supply chain security principles to AI integrations

Fri, 19 Jun 2026 13:52:35 +0300

Software supply chains are becoming increasingly complex, while dependence on third-party components continues to grow. In 2026, the industry faced a new wave of attacks targeting the npm open-source ecosystem, including the Mini Shai-Hulud campaign and the Miasma incident, during which packages within the @redhat-cloud-services namespace were compromised. Researchers discovered malicious code designed to steal credentials, access tokens, and CI/CD infrastructure secrets. This incident once again demonstrates how vulnerable even large development ecosystems remain and highlights the growing importance of securing AI integrations and software supply chains.

Electronic document management as a stable foundation during AI-driven shifts

Thu, 18 Jun 2026 06:06:52 +0300

Technological progress is measured by the speed at which new acronyms emerge, and business leaders face a paradox: the more promises, the less concrete information. This is particularly true in the realm of artificial intelligence, where terms like AGI (Artificial General Intelligence), "Agents," and "Superintelligence" are often used to justify new investments, but without clear definitions or verifiable capabilities. This uncertainty poses a risk of misallocated budgets, as it's difficult to assess the real value of a solution when its ultimate goal remains vague.

Preparing enterprise operations for recursive AI self-improvement

Wed, 17 Jun 2026 06:09:02 +0300

Artificial intelligence is evolving into an autonomous agent capable of learning and improving with minimal human intervention. While companies are actively integrating AI solutions into their operations today, the next stage of transformation is already on the horizon. The concept of Recursive Self-Improvement (RSI), being researched by an R&D company specializing in AI/ML, posits that AI systems will be able to enhance their own algorithms and architecture. This ushers in a new era of automation but simultaneously introduces new risks. Let's examine how to prepare businesses for this transformation, focusing on data readiness and proactive risk management.

Streamlining logistics document workflows via AI

Tue, 09 Jun 2026 06:08:27 +0300

Logistics today faces a paradox: despite technological advancements, a significant portion of document flow remains analog or fragmented. According to industry experts, 73% of logistics teams still manage documents in Excel and non-integrated systems. This not only slows down processes but also creates fertile ground for errors and regulatory risks. A single goods transport operation can require up to 50 paper documents exchanged between 30 counterparties, and 70% of companies process waybills (TTN) manually, as noted in the article 'AI document flow in logistics: applications, invoices, acts, and waybills' (2023). This year and in the coming ones, given the mandatory nature of electronic waybills in Ukraine from 2027, the digitalization of document flow becomes a strategic necessity.

Telecom AI voicebots: balancing operational efficiency with user trust

Mon, 08 Jun 2026 06:07:47 +0300

In the telecommunications industry, the implementation of AI voicebots in contact centers has become essential for optimizing operational processes. The growth in 5G subscriptions and network expansion, as projected by the Ericsson Mobility Report November 2025, presents new opportunities for integrating AI solutions. Simultaneously, increasing global losses from telecom fraud, estimated by the CFCA Global Fraud Loss Survey 2025 at approximately $41.82 billion, highlights the need for enhanced security and authentication measures. This creates an architectural challenge where AI voicebots can boost efficiency, but their deployment demands a careful balance between automation and maintaining customer trust.

Automating internal requests by integrating AI with ECM and BPM

Fri, 05 Jun 2026 06:07:18 +0300

Organizations are facing constant pressure this year to increase efficiency and reduce operational costs. While artificial intelligence enables the automation of a significant portion of routine tasks, its integration into existing corporate systems remains a non-trivial challenge. According to industry data, 57% of working hours can be automated, and 67% of knowledge workers spend over 3 hours daily on manual coordination. This highlights the need for systematic solutions for processing internal requests and inquiries.

Automation success: evaluating risk and data for AI and RPA

Mon, 01 Jun 2026 16:45:34 +0300

Robotic Process Automation (RPA) has long been a standard for efficiency in many organizations. It enables the automation of routine, repetitive tasks, freeing up specialist resources for more complex assignments. However, this year has already seen a qualitative leap in RPA development in practice, driven by deep integration with artificial intelligence. This synergy transforms automation from a tool for simple tasks into a platform for optimizing complex, cognitive processes.

Maintaining continuity during phased legacy ERP system migrations

Fri, 29 May 2026 23:18:39 +0300

Legacy ERP systems in the public sector have become bottlenecks for development and adaptation to modern requirements. Any change, integration with new government services, or functional update takes 3–6 months and often requires downtime. This leads to departments creating their own "shadow" IT solutions to bypass limitations, and the launch of new electronic services or adaptation to legislative changes occurs significantly slower than among competitors.

As an integration solutions architect with 15 years of experience, I believe that instead of trying to revive a monolith or replace it with a single "big bang," the path to successful digital transformation lies in phased decomposition of legacy ERP. This means extracting individual functions into microservices with API access, allowing for system modernization without business interruption and with minimal risks.

Business low-code: platform capabilities for 2026

Fri, 22 May 2026 20:20:23 +0300

In today's dynamic business environment, the speed of innovation is a key competitive advantage. For CIOs and IT Directors, this means constantly seeking solutions that allow for efficient business process automation without turning every project into a lengthy and resource-intensive IT marathon. One such powerful approach is the synergy of Artificial Intelligence (AI) and low-code platforms.

What is AI low-code and Why is it Important for Business?

The AI low-code approach combines the capabilities of low-code platforms for rapid business process modeling with the functionality of artificial intelligence, which adds intelligent features: document recognition, classification, response generation, intelligent search, and decision support. As noted in industry articles, this allows companies to launch workflows faster, reducing reliance on traditional development and eliminating manual execution of repetitive steps.

Securing APIs against emerging threats with AI technology

Wed, 13 May 2026 06:08:01 +0300

By 2026, Gartner predicts that 40% of web application attacks will utilize APIs as their primary vector, underscoring the critical importance of strengthening application programming interface security within system integration contexts. The increasing complexity of enterprise landscapes, encompassing hybrid and multi-cloud environments, expands the attack surface for potential adversaries. Traditional defense methods are no longer sufficient to effectively counter dynamic and adaptive threats, demanding the integration of artificial intelligence-based solutions.

How API-centric integration improves enterprise time-to-market

Thu, 30 Apr 2026 06:05:48 +0300

According to Gartner, by 2025, over 65% of global companies will use APIs as the primary integration mechanism for their critical business applications. This trend is driven by the need to accelerate time-to-market, enhance operational efficiency, and ensure flexibility amidst rapid market changes. API-driven system integration allows businesses to quickly adapt their IT landscapes by integrating new services and solutions without significant rework of existing systems.

Role of APIs in modern IT landscapes

APIs (Application Programming Interfaces) act as bridges between different software components, enabling them to interact and exchange data. In the context of system integration, APIs provide a standardized and secure way to connect enterprise applications such as ERP, CRM, ECM, and specialized industry systems. This facilitates the creation of modular, flexible, and scalable architectures that easily adapt to new business requirements.

MDM and data integration strategies for large enterprises

Fri, 17 Apr 2026 06:08:19 +0300

In a large industrial enterprise with a long history, there are multiple ERP systems, separate CRM solutions for different departments, legacy databases with information on equipment and suppliers, and new cloud services for logistics management. Each department works with its own data, which is often duplicated, contradictory, or simply missing in other systems. The marketing department launches a campaign based on one set of customer data, the sales department uses another, and the finance department cannot even compile a unified profit report because information about the same products has different identifiers in different systems. This leads to operational delays, incorrect decisions, lost profits, and reduced competitiveness. This is where system integration and Master Data Management (MDM) become not just desirable, but critically important tools.

Managing digital transformation and BPM for better results

Thu, 16 Apr 2026 18:50:10 +0300

BPM (Business Process Management) is often seen as simple task automation. But there is a fundamental difference between “digitizing a form” and truly managing processes.

In the first case, a company just performs the same mistakes faster. In the second — it changes the way it operates.

From automation to an operational system

Modern BPM is not about scripts or isolated forms. It is a system where processes are defined as executable models, connected with each other and integrated with core business systems.

System Integration Strategies Replacing Monolithic ERP

Fri, 10 Apr 2026 09:00:00 +0300

Implementing a large monolithic ERP has traditionally been considered the answer to enterprise needs for a unified management system. However, reality shows that monolithic ERPs are difficult to adapt to specific business needs, are expensive, and often evolve into a rigid, 'concrete' system that stakeholders are hesitant to modify.

The Problem with the Monolithic Approach

Any configuration often requires extensive customization, making upgrades painful. Unused modules incur significant licensing costs. Implementations can stretch for years. Furthermore, vendor lock-in becomes virtually impossible to overcome without a complete re-engineering of processes.

Scaling Beyond Google Drive for Enterprise Document Needs

Thu, 09 Apr 2026 13:57:59 +0300

A recent analysis examines the transition from basic cloud storage solutions like Google Drive to specialized Electronic Document Management Systems (EDMS) for growing businesses. While Google Drive is a convenient tool for collaborative file storage and editing, its capabilities become insufficient when a company faces increasing document volumes, complex approval workflows, and the need for automation.

The key difference lies in that cloud storage answers the question 'where is the document stored,' whereas an EDMS focuses on 'how the document moves, who is responsible for it, which version is current, and what needs to happen next.' For businesses, this signifies a shift from passive storage to active management of a document's lifecycle. EDMS provide version control, transparent approval routes, role-based access, action history, and advanced attribute-based search, rather than just file name searches.

AI Agents in Enterprise: Automating Tasks and Supporting Decisions

Wed, 08 Apr 2026 09:00:00 +0300

Large Language Models (LLMs) have redefined the capabilities of software. However, in an enterprise context, the true value of AI is unlocked through integration with business processes, where an AI agent doesn't just respond but actively performs actions within systems.

What is an AI Agent in an Enterprise Context?

An AI agent is a software component capable of independently planning a sequence of actions to achieve a specific goal, leveraging a set of available tools. In an enterprise environment, these 'tools' typically refer to the APIs of corporate systems such as ERP, ECM, CRM, databases, and external registries.

Legacy integration without APIs: RPA constraints, CDC, and facades

Mon, 16 Mar 2026 12:49:07 +0200

Modernizing legacy infrastructure that lacks native APIs creates a critical bottleneck for large enterprises aiming to implement event-driven architectures (EDA) and scalable integration layers. Organizations often attempt to connect rigid legacy systems using fragile point-to-point connections, which leads to high maintenance costs and security risks. When every new service requires a custom connector to a legacy database, infrastructure complexity grows exponentially, turning the IT landscape into unmanageable chaos.

Why point-to-point integration of legacy systems is an architectural dead end

In the classic work "Enterprise Integration Patterns" (EIP) by Gregor Hohpe and Bobby Woolf, it is proven that formalizing integration based on messaging solves system connectivity problems much more effectively than synchronous point-to-point calls. Direct connection to legacy database tables, bypassing the application's business logic, destroys data integrity and creates hidden dependencies. It is estimated that up to 53.7% of resources in maintaining complex integrations are often spent on servicing these unstable point-to-point connections.

Risks of AI, RPA, and operational chaos in automation

Mon, 23 Feb 2026 12:11:28 +0200

In attempts to overcome operational ceilings and accelerate digital transformation, business leaders often view automation as a quick fix for broken workflows. However, instead of the expected efficiency gains, organizations often face the opposite effect: automating inefficient legacy processes without prior optimization generates "chaos at scale." Attempting to delegate routine tasks to algorithms without an "as-is" audit and strict architectural hygiene only scales technical debt and creates new vulnerability vectors.

2026 outlook for SCADA systems and Industrial IoT

Fri, 30 Jan 2026 13:03:46 +0200

In 2026, Industrial Internet of Things (IoT) and Supervisory Control and Data Acquisition (SCADA) systems continue to evolve, transforming operational efficiency and security in critical infrastructure, manufacturing, and energy sectors. According to industry observations, a significant portion of enterprise clients are actively implementing hybrid models that combine on-premises SCADA with cloud platforms for IoT device analytics and management.

IT and OT convergence: new challenges and opportunities

The traditional gap between IT (Information Technology) and OT (Operational Technology) is rapidly narrowing. Data from IoT sensors and SCADA systems are no longer just monitored but are integrated into corporate ERP and MES systems, feeding analytical platforms and decision support systems. This convergence demands new approaches to architecture, data governance, and, most importantly, cybersecurity. Standards such as ISO/IEC 27001 are becoming mandatory not only for IT but also for OT environments, especially in the context of NIS2, which extends to critical infrastructure operators.

Low-code platforms enhanced by AI to boost BPM efficiency by 2026

Fri, 23 Jan 2026 12:21:11 +0200

By 2026, over 75% of new enterprise applications are projected to be developed using low-code or no-code platforms. This trend addresses the growing need for rapid business process digitalization and adaptation to dynamic market conditions. For Business Process Management (BPM) systems, this signifies revolutionary changes, especially with the integration of artificial intelligence capabilities.

Evolution of BPM systems: from manual configuration to AI optimization

Traditional BPM system development often requires significant resources, lengthy development cycles, and deep technical expertise. Low-code platforms have already simplified this process, enabling business analysts and developers to create functional solutions with minimal coding. However, AI integration elevates this paradigm to a new level. AI-driven low-code platforms can automatically generate code snippets, suggest optimal process pathways, identify bottlenecks, and even predict system behavior based on historical data.

Business benefits of combining AI automation with low-code

Tue, 13 Jan 2026 11:21:17 +0200

A new article has been released focusing on AI-driven business process automation using modern low-code platforms and intelligent document processing (IDP) technologies.

AI automation combines traditional workflow automation with artificial intelligence to handle complex tasks that previously required human intervention. Unlike traditional systems that halt when encountering non-standard situations, AI solutions can recognize unstructured data, understand context, make decisions, and learn. This enables software systems to independently read, verify, and route corporate data, freeing employees from routine operations.