Understanding BPM versus RPA and workflow automation
A guide to BPM, RPA, and workflow automation for IT architects. Learn how to combine BPMN, DMN, and Process Mining to avoid technical debt and achieve end-to-end orchestration.
DECISIONS & DELIVERY
RPA
Practical guides to operating models, process automation, transformation governance, management data and controlled AI.
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15 publications
RPA after ERP: A Bridge or a Digital Patch?
RPA is a useful temporary bridge to legacy systems following an ERP deployment. However, automating Excel-based workflows, email approvals, and fragmented responsibilities often accelerates technical debt rather than resolving it.
Recursive AI self-improvement: preparing businesses for new challenges
The concept of recursive AI self-improvement is transforming process automation. We explore how companies can prepare their data and manage risks.
AI and RPA: How data and risks define automation success
Integrating AI into RPA is transforming business processes, but success hinges on data readiness and effective risk management. Prepare your data.
Phased legacy ERP migration for uninterrupted transformation
Phased migration of legacy ERP systems in the public sector helps avoid downtime and ensures process continuity by focusing on automation and data.
RPA and low-code: synergy for complex BPM automation by 2026
By 2026, over 80% of large enterprises will leverage a combination of RPA and low-code platforms to optimize business processes. This approach accelerates development time and enhances automation efficiency.
Low-code для бізнесу: можливості платформи (2026)
Discover how the combination of AI and low-code platforms enables CIOs to rapidly automate business processes, minimize risks, and optimize operations.
AI-powered API security for emerging threats
By 2026, 40% of web application attacks will leverage APIs as the primary vector, necessitating a reevaluation of security approaches in system integration. Artificial intelligence is becoming a key tool for detecting and preventing these threats.
RPA and low-code accelerate BPM processes with Scriptum by 2026
By 2026, over 80% of large enterprises plan to utilize integrated RPA and low-code solutions for business process automation, highlighting the critical role of platforms like Scriptum. This trend is driven by the need to enhance operational efficiency, reduce costs, and accelerate time-to-market for
API-driven system integration accelerates enterprise time-to-market
Integrating enterprise systems via API is a key factor for quickly bringing new products and services to market. This approach ensures flexibility, scalability, and efficiency in data exchange across diverse IT landscapes.
AI Automation and Low-Code: Business Advantages
Integrating AI and low-code platforms significantly accelerates business processes and reduces operational costs for companies.
Data integration and MDM for large organizations
The challenge of disparate data and the absence of a single source of truth for key entities is critical to business efficiency. System integration and MDM are key to resolving this.