Scattered proof
Spreadsheets, policies, tickets and evidence sit apart. Nobody can reproduce the current control state.
ArAIsDLOG turns EU AI Act obligations into continuous operational control. It connects your AI inventory, accountable controls, verified evidence and recurring confirmations in one audit-ready system.
Focused walkthrough · one real AI system · no generic sales deck

Most governance programs tell you what should exist. ArAIsDLOG shows what exists now, what evidence supports it, who confirmed it and what must happen next.
A control architecture that converts obligations, evidence and accountable human decisions into a reproducible system state.
Spreadsheets, policies, tickets and evidence sit apart. Nobody can reproduce the current control state.
Scope, obligations, owners, evidence and confirmations operate as one governed chain.
Every reviewer can see what is controlled, why, by whom, with which evidence and as of when.
ArAIsDLOG is the AI governance product of Logik Systems OOD. Its name describes exactly what it delivers: an architecture for AI with a deterministic governance layer.
The governed structure connecting systems, roles, controls, evidence and decisions.
The AI systems your organization provides, deploys, purchases or embeds.
The operational layer that turns obligations and evidence into a reproducible control state.
ArAIsDLOG keeps every governance decision attached to the AI system and the proof behind it—from initial classification to the next confirmation cycle.
Know exactly which AI system, owner, purpose and deployment context is governed.
Translate scope and role into a deterministic compliance state—without guesswork.
Assign evidence-backed controls across legal, risk, security and operations.
Version every artefact with SHA-256 integrity and an unbroken predecessor chain.
Reconfirm controls on schedule and degrade status when proof becomes stale.
Deliver one structured, reproducible record of state, evidence and decisions.
ArAIsDLOG does not freeze compliance in a report. When evidence expires, a confirmation is missed or a critical finding appears, the control state changes—predictably and visibly.
The AI governance market is broad. ArAIsDLOG concentrates on the layer that organizations must be able to inspect: the deterministic link between obligation, control, evidence and current state.
Comparisons reflect publicly described category capabilities and positioning as of July 2026. Product scope varies by plan and configuration. Third-party names are trademarks of their respective owners.
Practical guidance for providers and deployers—translated into the control questions your teams need to answer.
Open the EU Commission overviewArAIsDLOG makes the relationship between the EU AI Act and day-to-day governance visible without pretending that software replaces legal analysis.
A risk-based European regulation for AI providers, deployers, importers and distributors—with duties that depend on the system, use case and organizational role.
Because obligations alone do not prove execution. DLOG connects each requirement to an owner, a control, current evidence, confirmation history and a visible state.
It registers AI systems, classifies scope, assigns controls, protects evidence lineage, schedules confirmations, records findings and produces a structured audit export.
Legal, compliance, risk, audit and system owners work from the same record instead of rebuilding the truth across policies, spreadsheets, tickets and folders.
ArAIsDLOG keeps purpose, ownership, evidence and review context available to privacy teams while maintaining a distinct EU AI Act control model.
Validated Jira and Slack paths connect governance findings, accountable work and escalation with the systems enterprise teams already use. Deployment boundaries remain explicit before implementation.
Scoped deployment options for environments that require local processing, controlled infrastructure or hardware integration.
Map devices, data sources and semantic system context into the governed AI-system boundary.
Controlled integration patterns for exchanging evidence and status while keeping ownership and access explicit.
Create review-ready records for legal counsel, auditors and other qualified experts without replacing their professional judgment.
Create a traceable path from governance findings to assigned work, accountable ownership, due dates and remediation status.
Route governance reminders and escalation signals into the collaboration channel where responsible teams already work.
Jira and Slack are validated integration paths. Local, hardware, IoT, semantic and API capabilities remain scoped options; availability, security architecture and implementation effort depend on the agreed deployment.
A practical path from system role and risk classification to accountable controls.
Open topicHow explicit rules, evidence lineage and state history make decisions reproducible.
Open topicKeep purpose, accountability, evidence and review context connected—without conflating two legal regimes.
Open topicReceive product notes, tutorials and selected regulatory updates.
No generic software tour. We begin with a bounded AI system, its actual control evidence and a concrete review question.
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Talk directly to Logik Systems OOD about a demo, product feedback, implementation scope, expert review or legal information.
compliance@logik-systems.comBring one real system. Leave with a clear control state.
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