NIS2 Compliance
Structured NIS2 readiness support for the requirements that matter.
- Gap analysis
- action roadmap
- templates
- executive summary
Compliance by design
We help mid-sized and large organisations prepare for NIS2, ESG and responsible AI adoption through secure, auditable and, where required, locally operated technology solutions.
Challenges → Outcomes
Every engagement starts from a business challenge — and ends with a documented deliverable.
Gap assessment and prioritised roadmap
AI governance framework, inventory and documentation plan
Structured questionnaire response and supplier-readiness package
Documented, repeatable and auditable workflows
Challenge
Outcome
Gap assessment and prioritised roadmap
Challenge
Outcome
AI governance framework, inventory and documentation plan
Challenge
Outcome
Structured questionnaire response and supplier-readiness package
Challenge
Outcome
Documented, repeatable and auditable workflows
Services
Every engagement is structured, documented, and expert-led.
Three primary services
Market entry points
Choose a self-serve readiness check, a focused entry conversation, or a short discovery call — none of these replace a scoped expert engagement.
Approach
Human review — operating principle
One process, documented outputs — with human review throughout the engagement.
Discovery starts with a structured conversation — with a short upfront document request where needed.
Output: Starting point and scope outline
We assess your current state, gaps and priorities based on your organisation's real risk profile.
Output: Gap overview
From priorities and resources we shape a roadmap, work packages and an audit-ready documentation plan.
Output: Roadmap and work packages
We produce and introduce the structured documentation: policies, templates, timeline and evidence structure.
Output: Documentation and implementation support
After handover, we support periodic review cycles that keep documentation and controls up to date.
Output: Ongoing advisory / review
Operating principles
AI-assisted preparation, data minimization and explicit responsibility boundaries — details on the Trust page.
Human review on every client-facing output
Knowledge Hub
AI governance is the framework that decides who can use AI in the company, with what risk, and under what controls. The EU AI Act makes some elements mandatory, but governance is worthwhile even where it is not required — it protects against "shadow AI" and uncontrolled decisions. A simple…
24 July 2026
Most cyberattacks are not sophisticated — they exploit a lack of basic hygiene. Five measures (multi-factor authentication, regular patching, tested backups, security awareness, and a simple incident plan) deliver disproportionate risk reduction. Cyber risk today is a leadership issue, not just an…
24 July 2026
The EU AI Act is being phased in gradually. Several critical obligations become enforceable in 2026 — an overview for organisations.
1 April 2026
A short structured discovery conversation. No obligation and no hard sell — clarifying the situation and possible next steps.