SwissGRC engaged Axon Active for GRC software development, building its next-generation, AI-native GRC platform. Based in Vietnam under Swiss project leadership, a dedicated software development team of five engineers supports the end-to-end development of GRC Next. Operating in three-week Scrum sprints, the stable partnership delivers consistent, measurable progress and long-term software engineering stability.
SwissGRC is a Swiss-based provider of governance, risk, and Swiss compliance software, helping organizations manage regulatory obligations with clarity and confidence. Its next-generation platform, GRC Next, represents a comprehensive evolution of its core solutions into a unified, AI-native GRC platform. The platform seamlessly unifies multiple domains — including risk, compliance, audit, third-party risk, and Business Process Management (BPM) — into a single ecosystem.
GRC Next addresses the market gap between rigid legacy suites and narrow point solutions. It delivers depth, agility, and scalability through six key principles: a unified architecture, intuitive design, modular scalability, embedded AI, region-specific compliance presets, and application-driven extensibility. As the strategic engineering partner, Axon Active’s development team in Vietnam provides the scalable GRC software development capacity to execute this ambitious roadmap. This delivery model combines Swiss account leadership, ISO 27001-certified processes, and long-term team stability.
Sprint cadence follows three-week Scrum cycles synced with SwissGRC’s schedule, from joint planning to formal demos. Smart collaboration is enabled through shared daily working hours for real-time decisions, supported by asynchronous code reviews and updates outside the overlap window. Domain expertise comes from a dedicated software development team that carries deep product knowledge forward with zero ramp-up time. Governance is provided by an embedded Axon Active account lead managing scope and strategic planning.
Our GRC software development drives the full lifecycle of the GRC Next platform, from user research and UX design to backend services, frontend development, and infrastructure. Our AI product development embeds capabilities such as predictive risk scoring and RAG-powered knowledge retrieval while supporting scalable, modular delivery aligned with deep regulatory standards. The platform also provides native support for evolving regulatory frameworks such as the EU AI Act and the Swiss Data Protection Act.
Full-stack development across the stack is tightly coordinated. We use React, TypeScript, and Vite for frontend development, with Vitest handling the testing. The backend services are built on Node.js, exposing a clean API layer consumed by the frontend. This tight integration between layers supports rapid iteration and ensures total consistency in user experience and data handling.
Application data is managed via Redis, chosen for its exceptional speed, low-latency access, and in-memory performance. This architecture enables high-performance data processing, which is essential for handling complex compliance workflows and powering real-time dashboards. As a result, users receive responsive system performance and instant access to operational insights.
Our engineering team follows an AI-augmented software engineering approach, using GitHub Copilot and Claude Code as intelligent coding assistants throughout daily development workflows. Integrated directly into our IDEs, these tools accelerate boilerplate code generation, simplify complex regular expressions, and automate unit test creation with Vitest. By offloading repetitive coding tasks and catching syntax issues early, AI enables our engineers to dedicate more time to architectural design, regulatory compliance, performance optimization, and code quality. Human expertise remains central to every decision, ensuring each release meets strict definition-of-done criteria while delivering faster, more reliable software for SwissGRC’s AI governance and compliance platform.
Supporting end-to-end delivery across development, testing, and deployment
Enabling rapid iteration and continuous delivery
Native support for evolving regulations, including the EU AI Act and the Swiss Data Protection Act
Production-ready microservices deployed and business workflows optimized
"Partnering with Axon Active has given us the engineering stability and scalability required to bring an AI-native ecosystem like GRC Next to life. Their team's deep technical expertise in modern full-stack development combined with rigorous adherence to ISO 27001 processes has made them an invaluable extension of our Swiss leadership."
The platform is designed with a unified architecture that supports different domains such as risk, compliance, audit, and third-party management within a shared framework. Each domain is modular but connected through common data models and workflows, allowing organizations to manage all GRC activities without switching between separate systems.
AI is embedded directly into the platform’s workflows rather than added as a separate feature. It supports use cases such as predictive risk scoring, document classification, and knowledge retrieval. These capabilities are integrated into existing processes, helping users make decisions based on available data without requiring additional tools.
The platform incorporates region-specific compliance templates and can be updated as regulations change. The team works iteratively to adjust data models, workflows, and reporting features as new regulatory requirements emerge, ensuring the system stays aligned with applicable standards over time.
Technologies such as Redis are used to support fast data access and reduce latency for dashboards and reporting. The team monitors performance and refines data access patterns and caching strategies to keep the system responsive as data volume and usage grow.
Development is organized into structured sprint cycles with regular reviews and retrospectives. Engineers follow shared coding standards, testing practices, and definition-of-done criteria. This helps ensure that new features and improvements remain consistent with the platform’s overall architecture and quality expectations.
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