Our process - How we work

We begin with a structured assessment to understand your business model, risk appetite, and growth plans. Together we map processes and data flows to see where compliance can enable the product — not slow it down.

Through focused stakeholder sessions we inventory AI use cases and data processing, identify applicable obligations (AI Act, GDPR, ePrivacy, and sector rules), and surface quick wins alongside critical gaps.

You receive a concise findings brief and a prioritized implementation plan with effort, impact, and timeline estimates.

Using the roadmap, we implement the controls and documentation that matter: AI policy, risk management and human oversight, data protection by design, vendor governance, and clear approval workflows.

We set up a lightweight AI Management System (ISO/IEC 42001–aligned), produce the technical documentation and risk-management file (Annex IV), and prepare DPIAs and records of processing where relevant. Work runs in short sprints with weekly check-ins and visible progress.

Your team keeps ownership — we co-create templates, automate where possible, and embed the process into your existing tools so it scales with you.

Before go-live we validate controls, align owners, and finalize operating procedures and KPIs. The goal is durability: compliance that holds under real-world pressure.

We run incident tabletop exercises, verify human-in-the-loop oversight, and check vendor and data-transfer safeguards end-to-end.

At handover you receive an audit-ready package and a pragmatic maintenance plan with cadences and checklists, plus options for ongoing support.