A GRC platform that fits your risk taxonomy, your controls and your reporting lines. We build risk management software when Diligent, MetricStream or ServiceNow GRC don't keep up with your reality, or when integration with your core systems solves the pain of off-the-shelf packages.
Financial risk is not healthcare risk, construction risk or energy risk. The big packages (Diligent (Galvanize), MetricStream, ServiceNow GRC, Resolver, LogicGate, OneTrust, Origami Risk, BWise, Workiva, AuditBoard, NAVEX Global) deliver a generic risk taxonomy that your risk officers work around in Excel, email and scattered SharePoint folders. What started as a package implementation often ends up as custom work anyway.
We don't replace those packages for groups that have been running Diligent or ServiceNow for years. We do build the part of the software they don't deliver: sector-specific heatmaps, real-time KRI integrations with your ERP and case management, AI-driven anomaly detection, and consolidation flows across multiple entities. What is a workaround in standard GRC becomes the core in a custom build.
The organisations we build this for mostly work in heavily regulated sectors. Financial institutions under DNB supervision (banks, insurers, pension funds) have obligations around integrated risk management, ORSA and, more recently, DORA. Energy and utility companies operate under NIS2 and the BIO for critical infrastructure. Healthcare providers report under NEN 7510 and the quality and safety framework. Construction and industry have their own mix of project risk, health and safety, and quality control. Government bodies work under the Wpg, the BIO and audit regimes. Multinationals add ESG, supply chain and geopolitical risks. No single taxonomy fits that diversity, and that is exactly where custom software proves its value.
It depends on what the platform needs to do, how deeply it is embedded in your operations, and which compliance regimes apply. We'll advise which variant fits in the first conversation.
The core for organisations that still do GRC in Excel: a structured risk register with taxonomy, ownership and status, plus an interactive risk heatmap that works on your own impact and likelihood scale. Including controls and a periodic review flow.
Integrated risk management where operational risk, compliance mapping and internal control come together in one platform. A single control can map to multiple regulations (NIS2, DORA, ESG/CSRD, GDPR, NEN 7510). With workflow for assessment, escalation and sign-off by the second or third line.
For groups with multiple entities, divisions or regions: consolidation of risk data up to group level, real-time integrations with ERP, ITSM and incident sources, and AI/ML models for anomaly detection like the ones you know from Zenya AI. With multi-tenant role management and a SOX/SOC2-grade audit trail.
We're honest about where the line is. If your organisation has a mature GRC function that already runs on Diligent, MetricStream or ServiceNow GRC, a full replacement is rarely the right choice. The package holds years of policy content, mappings, reporting templates and management information that your board relies on. What we do build is a complementary layer: a specific module, an integration layer, or a dashboard the package doesn't offer.
If your organisation doesn't yet have a central GRC platform and currently handles risk and compliance through Excel, SharePoint or a mix of separate tools, custom is often more economical than an enterprise package. You don't pay for functionality you never use, you aren't tied to a vendor's roadmap, and you get a platform that fits your reporting lines exactly. For mid-sized organisations, this is often the tipping point.
That line has been shifting in recent years because of AI. Packages such as Zenya AI, ServiceNow Now Assist and RSA Archer are integrating more and more machine learning, but their models work on a generic dataset. For anomaly detection on your own incident data, your own reporting flows and your own KRIs, trained on patterns that you recognise, a model of your own is almost always more accurate. That is a substantial argument for building your own AI layer alongside your existing GRC package, instead of waiting for a vendor feature.
The modules we build in almost every project, tailored to your taxonomy, your roles and your regulations.
Five patterns in which standard GRC packages hit their limits. If you recognise one, we'd be happy to talk further.
Financial institutions, healthcare providers, energy companies and construction firms work with very different risk taxonomies. A generic schema forces you to keep adding custom fields on top of a standard package.
Standard GRC tools work with periodic imports. When KRIs and incident data need to come live from your ERP, ticketing or SCADA systems, you run into connector limits and latency.
Zenya AI shows what is possible: AI models that automatically detect patterns and anomalies in reports, incidents and KRI data. That kind of intelligence is rarely available out of the box in standard packages for your own domain.
A holding company with several operating companies needs consolidation across entities, as well as local autonomy for each entity. Striking that balance between group policy and local flexibility is costly in standard packages, in both licences and configuration.
Your existing GRC package is often not yet set up for NIS2 (critical infrastructure) and DORA (financial sector). Custom development on top of or alongside your core platform can get these regimes live faster than a vendor roadmap.
No two risk matrices are alike. Your board or audit committee wants to drill down into specific variables, dimensions and time windows that your current tool doesn't offer, and that is where the heatmap breaks down.
The shape of a GRC platform differs by industry. For financial institutions, the emphasis is on DNB reporting, ORSA, DORA and internal control frameworks such as COSO and ISO 31000. A register links to the three lines of defence, and the second and third lines must be able to sign off everything digitally. Integrations focus mainly on the core banking environment, the credit system and the financial data warehouses. For related topics around financial compliance, see our page on KYC and AML compliance software.
In healthcare, it all comes down to NEN 7510, the quality framework and patient safety. Risks come from incident reports, near-misses, MIM reports and internal audits. The integration is with the EHR and the quality system. Because of the nature of the work, with many reports, many categories and a lot of context, this is one of the sectors where AI anomaly detection delivers the most. Zenya AI leads the way here, but custom development on your own incident corpus can deliver similar or better results, because the model learns from your own terminology and patterns.
In energy, utilities and transport, the focus is on operational risk and NIS2 compliance. KRIs come in real time from SCADA, asset management systems and HSE applications. Multi-site is the norm. Construction and manufacturing centre on project risk and occupational health and safety (ARBO), which calls for a platform that can handle both group level and project level. Government bodies work under the Wpg, BIO and the Comptabiliteitswet (Government Accounts Act), with strict audit regimes and a second line that must be formally independent. For multinationals, ESG reporting (see also our page on CSRD/ESG reporting software), supply chain risk and geopolitical risk come on top of that. One taxonomy, multiple lenses.
A conversation in which we learn which risk categories are in play, which standard packages you currently use, which compliance regimes apply and who the end users are (risk officers, control owners, second and third lines).
A workshop with your risk and compliance team to define your own risk taxonomy, impact and likelihood scales and sign-off flows, plus interviews with a few key users from the business. At the end, you have an agreed scope and functional design.
A working build every sprint. We start with the risk register and the heatmap, then controls, then incidents and KRIs, and finally the integrations with your core systems. You test along with us, and so do your risk officers.
Before we go live: a pen test, a DPIA and validation of the audit trail mechanism. For financial or healthcare institutions, we work on this together with your compliance function and, where needed, your external auditor.
A phased rollout per entity or division, training for key users and control owners, and ongoing support for security patches, regulatory updates (such as new NIS2/DORA requirements) and further development.
What risk and compliance managers usually want to know before we start.
An introductory half-hour call, no obligation. We'll listen to your risk taxonomy, your current stack and your compliance regimes, and give you direction you can actually use. That includes sparring on a single module (heatmap, KRIs, AI detection or NIS2 mapping) alongside your existing GRC package. For related topics, see KYC/AML compliance software, CSRD/ESG reporting software and custom KPI dashboards.
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