AI shouldn’t be a moonshot—it should be an operating model. In this practical session, SPK experts reveal how to turn scattered pilots into a funded, responsible plan in just 90 days. We’ll walk through AI Launchpad, our assessment and roadmap that benchmarks your...
Compliance & Regulatory
Why Backup, Governance, and AI Controls Matter More Than Ever
The rapid integration of Artificial Intelligence into the modern engineering workplace has promised a new era of efficiency. From Atlassian Rovo to GitLab Duo, AI agents are now capable of summarizing complex documentation, generating code, and managing Jira workflows...
Building a Powerful AI Engine with Governance and Innovation Using MCP Servers
It’s 2026, and AI is extremely accessible, but knowing how to apply it within your specific business context can be a challenge. To start, LLMs lack the deep, proprietary context of, for example, product requirements or complex assembly structures. Without this...
Establishing an AI Governance Board: A Checklist for Engineering Organizations
Modern business tools are rapidly adopting AI, creating a major shift in how organizations work, collaborate, and innovate. Unlike traditional software, AI systems can learn, generate content, and make recommendations in ways that are not always fully predictable. For...
Why Tool Integration Is Critical for UNECE R155 and R156 Compliance in Automotive
Automotive manufacturers are arguably navigating the most significant transformation to the industry since the invention of the assembly line. Modern vehicles have evolved far beyond basic transport, as they are now sophisticated software-defined systems. These...
No API? No Problem: Strategies for Integrating Any Application
Modern access governance depends on automation, but many organizations run into the same problem: not every application has a clean API, SCIM support, or enterprise-ready identity integration. As teams scale, this creates a gap between the applications they need to...
Improving Risk Management with End-to-End Visibility
Modern products are becoming increasingly more complex, combining mechanical engineering, embedded software, electronics, cloud connectivity, and regulatory requirements into a single development lifecycle. As that complexity grows, so does the importance of...
The Safe AI Governance Playbook
When it comes to AI, balancing safety and security with innovation is vital for peak efficiency. This eBook explores how to achieve success with AI governance.What You Will Learn In this eBook, you will discover: Why AI governance matters The role of AI governance...
Modernizing DevSecOps for Secure Environments with GitLab Duo Agent Platform
GitLab’s Duo Agent Platform is a new tool enabling government agencies to securely harness AI capabilities. Explore how teams are using it to drive operational efficiency across different deployment scenarios. What You Will Learn In this eBook, you will explore:...
The Hidden Cost of Disconnecting Requirements from Development
Complex product development involves multi-disciplinary teams, with systems engineers or requirements analysts producing the requirements, and other disciplines creating designs and tests based on those requirements. Serious problems can arise if all teams do not have...
Achieving Regulatory Compliance through Connected ALM and PLM Systems
Compliance is not always about having the right documentation. In regulated industries, compliance is about proving that requirements are defined, changes are controlled, risks are addressed, tests are completed, and approvals are captured in a traceable, audit-ready...
Appsvio vs. Xray for Jira: Which Test Management Platform Makes Sense for Enterprise Teams in 2026?
Faster release cycles, stricter compliance standards, AI-driven development, and growing DevOps maturity expectations are putting enterprise software teams under more pressure than ever. Due to these factors, test management inside Jira must be scalable, secure, and...












