Establish the AI estate.
Identify systems, individual uses, operating entities, suppliers and accountable owners. Begin with what the organization actually does.
Explore the AI RegisterAI compliance needs
an operating model.
Regulatory requirements do not manage themselves. They must be interpreted in context, assigned to people, translated into work and supported by evidence. That is the problem arxacta is designed to solve.
01Real AI useSystems · Use cases · Legal entities
02Applicable obligationsLegal role · Regulatory scope · Effective dates
03Accountable evidenceDecisions · Controls · Audit history
01 / The thesis
The challenge is not reading the law. It is making responsibility operational.
An organization can have an AI policy, a register of tools and a collection of assessments, yet still struggle to answer a basic question: what obligations apply to this specific use of AI, and what has actually been done about them?
That answer may sit across legal opinions, supplier documents, procurement records, emails and decisions made by different teams. If those records are disconnected, the organization cannot easily reconstruct who was responsible, which legal provisions were considered or what evidence supported the outcome.
We believe regulatory compliance should be managed as an ongoing organizational process, not assembled retrospectively when an audit, supplier change or regulatory inquiry arrives.
The same technology can create different responsibilities.
Legal responsibilities under the EU AI Act depend on more than the name of a software product. Intended purpose, operating context, affected people, organizational role and applicable dates all matter.
A system that supports routine internal work should not automatically be treated as equivalent to one used to evaluate job applicants. Likewise, the obligations of a provider can differ materially from those of a deployer.
That is why arxacta treats an AI system, its individual use cases and the organization's legal roles as related but distinct records. Applicability comes before assigning compliance work.
ONE TECHNOLOGY
AI system
USE CONTEXT 01Internal document assistancePurpose, users and controls recorded
USE CONTEXT 02Applicant evaluationDistinct context and legal assessment
Context determines the review. Not the product name alone.
From understanding to demonstrable action.
arxacta brings the regulatory question, responsible work and supporting record into one connected management process.
Determine what applies.
Connect legal provisions and effective dates to each relevant use, operator role and regulatory determination.
Explore regulationsMake work accountable.
Structure assessments, assign controls, request documents and preserve review and approval decisions with named responsibilities.
Explore compliance operationsRetain the evidence.
Maintain the relationship between the legal basis, assessments, approvals, implementation records and their history.
Explore evidence and auditsThe principles behind the platform.
A dependable management system must preserve legal precision without taking judgment away from the people responsible for it.
01
Applicability before action.
Not every obligation applies to every organization, system or use. The legal basis and relevant conditions must come first.
02
Human accountability remains central.
Software can structure assessments and decisions. It cannot replace responsible review, legal judgment or the applicable conformity processes.
03
One connected record.
Systems, use cases, obligations, suppliers, controls and evidence should reference each other rather than fragment across unrelated workflows.
04
Compliance evolves with change.
A new supplier, a modified use or an amended provision can require reassessment. Earlier decisions and their context must remain traceable.
Compliance is not a moment of approval.
It is a maintained position: what an organization uses, which obligations apply, who is responsible, what was decided, and how that decision can be supported later. arxacta is designed to make that position coherent throughout the lifecycle of AI use.
Our ambition is reliable regulatory management infrastructure, not a promise of automatic legal compliance.
Talk to our team