Dan Candido, Author at Interfacing

AI Shadow Compliance: The Blind Spot That Will Define the Next Era of Regulatory Risk

The rise of ungoverned AI use is introducing traceability gaps across regulated processes, signaling the next major challenge for compliance and audit readiness. Organizations have always feared what they can’t see. For decades, compliance teams built entire systems around visibility: documented processes, controlled procedures, structured approvals, traceable decisions. The goal was simple. If something ever […]

Digital Operational Resilience Act (DORA): What It Means and How to Prepare for 2026

A unified European framework transforming how financial institutions govern ICT risk, operational resilience, and third-party oversight. Understanding DORA in Practical Terms The Digital Operational Resilience Act represents one of the EU’s most ambitious attempts to modernize financial-sector governance. Rather than layering yet another set of cybersecurity rules on top of existing frameworks, DORA consolidates the […]

Why AI Won’t Replace Low-Code Platforms: A Critical Look at the Hype

Artificial intelligence is changing how organizations build and deliver digital solutions, but one myth continues to spread through leadership conversations: the belief that AI will eventually replace low-code platforms entirely. This narrative sounds plausible until you start interrogating it. If AI can generate full application logic, automate workflows, and write front-end and back-end code on […]

Saya Biologics Selects Interfacing to Deploy Global AI-Powered Document Control & Quality Management System

Saya Biologics Selects Interfacing to Deploy Global AI-Powered Document Control & Quality Management System Official release here Montreal, Canada, September 2, 2025 Interfacing Technologies Corporation, a global leader in quality, compliance, and digital transformation, proudly announces that Saya Biologics, a cutting-edge pharmaceutical innovator, has selected its leading EPC solution as a centralized, AI-powered document […]

BA Co-Pilot vs Interfacing AI BPM: The Enterprise Advantage

BA Copilot vs Interfacing AI BPM Choosing the right AI-driven process management platform is critical for delivering consistent results, meeting compliance demands, and driving operational efficiency. While BA Copilot offers basic task assistance, Interfacing AI BPM provides a complete enterprise solution built for complex workflows, deep integration, and audit-ready governance. This comparison examines the strengths […]

Root Cause Analysis (RCA): A Practical Guide to Identifying and Solving the Real Problem

Introduction Recurring issues drain time, resources, and customer trust. Root cause analysis (RCA) is a systematic method for identifying the underlying cause of a problem, not just its symptoms. When used correctly, RCA helps organizations reduce risk, improve quality, and create sustainable solutions, especially when paired with simulation tools to test potential fixes. What […]

ISO 9001 Isn’t Enough: Why You Still Need a Digital QMS

Enterprise Business Process Analysis: What Is It? Please Select contact form. According to Gartner®, who coined the term EBPA: EBPA is the discipline of business and process modeling aimed at transforming and improving business performance with an emphasis on cross-viewpoint, cross-functional analysis to support strategic and operational decisions. EBPA is based on the principles of […]

From Audit Panic to Audit Ready: What a Connected QMS Looks Like

Introduction: Why Audit Season Still Sparks Anxiety Despite years of digitization, many organizations still feel unprepared when audit season approaches. It’s not that they aren’t doing the work—it’s that their tools don’t support audit-readiness as a continuous state. Critical documents are scattered across silos, processes rely too heavily on tribal knowledge, and evidence trails are […]

How Generative AI Is Changing the Way We Discover Process Risks

Building Risk-Resilient Organizations with AI-Powered Regulatory Intelligence

Introduction As organizations confront ever-evolving regulatory landscapes and increasingly complex risk environments, traditional approaches to risk and compliance management are no longer sufficient. Manual methods are too slow, siloed systems are too rigid, and the volume of regulatory change is simply too vast. Artificial Intelligence (AI) offers a powerful alternative: one that enables real-time oversight, […]