OneCompliant delivers a repeatable, audit-ready governance architecture for organisations adopting AI in regulated environments — covering risk, controls, compliance alignment, and runtime oversight.
Built for regulated enterprise environments
Unmanaged AI adoption introduces governance drift, uncontrolled delegation, and shadow operations before security teams have visibility. The gap between policy and production is where risk lives.
Policy intent and production AI behaviour diverge silently. Controls that existed at deployment erode without detection.
Agentic AI systems take actions and delegate tasks outside defined authorisation boundaries, with no audit trail.
Unauthorised tools operating outside governance frameworks create undetected exposures in regulated data environments.
Sensitive data traverses AI pipelines without classification, access controls, or the audit trails regulators require.
Real-time AI decisions lack the traceability and intervention mechanisms regulators expect in high-stakes environments.
Multi-model and agentic pipelines create trust boundaries that existing security architectures cannot validate or monitor.
OneCompliant provides a modular governance architecture that connects AI policy, risk assessment, control validation, monitoring, and compliance reporting into one operational system — purpose-built for regulated enterprise environments.
Each pillar addresses a distinct layer of enterprise AI risk — from policy architecture through to continuous monitoring and executive reporting.
Define policy frameworks, control structures, and authorisation boundaries across the AI asset lifecycle.
Quantify, score, and continuously validate AI system behaviour against governance policies and risk thresholds.
Maintain continuous visibility into AI decisions, data flows, and system interactions in production environments.
Map controls to EU AI Act, ISO 42001, NIS2, GDPR, and DORA with automated validation and audit-ready reporting.
OneCompliant structures AI governance into six repeatable modules — each independently deployable, each integrating into a unified operational model.
Establishes the operational structure for AI policy, accountability, risk ownership, control domains, and lifecycle governance.
Assesses AI systems against governance, security, privacy, and operational risk criteria — producing prioritised remediation outputs.
Enables workforce readiness through role-based AI awareness, data handling expectations, and secure AI behaviour standards.
Supports monitoring of AI workflows, agent activity, semantic risk, orchestration behaviour, and control effectiveness.
Maps AI risk scenarios to security, governance, compliance, and operational controls across the full AI lifecycle.
Converts governance findings into executive-ready risk views, maturity indicators, and board-level decision support.
Start with a fixed-price assessment, grow into a platform subscription. Every engagement is scoped to deliver measurable governance outcomes — not billable hours.
Fixed-price. 4–6 weeks.
Scoped engagements €12k–€25k depending on AI system complexity and regulatory scope.
Annual subscription. Tiered by scope.
Tiered €8k–€50k+/year based on number of AI systems, users, and risk level.
Assessment + Platform + Advisory. 3 months.
Full-scope engagements €40k–€80k. Fastest path to operational AI governance.
All engagements are scoped and priced in Euros. Enterprise and multi-year agreements available. Contact us for a tailored proposal aligned to your regulatory obligations and AI risk profile.
OneCompliant is designed around the realities of enterprise AI adoption in regulated sectors — where governance failures carry operational, legal, and reputational consequences.
Govern AI across network infrastructure, customer systems, and OT environments with carrier-grade control architecture.
Align AI systems with clinical validation, data integrity, and regulatory submission requirements across the development lifecycle.
Maintain safety-critical AI governance and operational oversight across flight systems, ground operations, and infrastructure.
Operationalize AI governance across energy, water, and essential services with resilience controls aligned to NIS2 and DORA.
Operational analysis on enterprise AI security, governance architecture, agentic systems, and regulated-industry risk — from practitioners with hands-on enterprise experience.
Establishing operational oversight and control mechanisms for autonomous agent systems in regulated enterprise deployments.
Read more →Addressing the operational and systemic security risks in enterprise AI deployments that surface-level controls miss entirely.
Read more →Building governance frameworks that establish accountability, traceability, and visibility across interconnected AI systems.
Read more →How to detect and remediate the divergence between governance policy intent and actual AI system behaviour at runtime.
Read more →OneCompliant helps regulated organisations establish scalable AI governance, measurable control accountability, and executive-level risk visibility — before regulators ask for it.
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