Solutions AYJIS EU AI Act Industries Vision Pricing Company Request Assessment
Industries

Built for regulated environments.

From mid-market operators to large enterprises, OneCompliant™ is built on 20+ years of operational experience across the industries where AI governance and EU AI Act readiness are not optional — they are a regulatory and operational necessity.

Telecommunications

AI governance for operators under NIS2 and GDPR.

Telecom operators run critical national infrastructure, hold vast customer-data estates, and carry lawful-intercept obligations — all while under pressure to adopt AI at speed. Certain AI systems used by operators — for example in network management or credit-related decisions — may qualify as high-risk under the EU AI Act, depending on their intended purpose and deployment context.

Where is AI being used?

  • Network optimisation, fault prediction, and configuration copilots for engineering teams
  • Customer-service chatbots and agent-assist tools handling subscriber queries
  • Fraud detection, churn modelling, and credit-related decisioning
  • Marketing content generation and back-office document automation

What can go wrong?

Subscriber data leaving governed systems

A customer-care agent pastes a subscriber's personal data into a public AI assistant to draft a reply — moving PII outside controlled systems and creating GDPR and NIS2 exposure.

Sensitive network and intercept data

Network-configuration or lawful-intercept-sensitive content is sent to an external model, creating security and lawful-intercept compliance exposure if not inspected at runtime.

Shadow AI across business units

Network engineers, customer service, and marketing all use AI tools independently, with no central visibility of what data is being shared or which providers are in use.

Unclassified higher-risk use

An AI model used in network management or credit-related decisions is deployed without classification, human oversight, or documentation — leaving potential high-risk obligations unaddressed.

How does OneCompliant control it?

Assess. AI Risk Assessment — OASAT maps AI usage across network, customer care, and back office, including shadow AI, and classifies each use case by intended purpose and EU AI Act exposure.

Govern. AI Governance Architecture — OASF establishes the control framework, ownership, and human-oversight model, aligned to NIS2 and applicable EU AI Act obligations.

Enforce. Runtime Governance and Enforcement — AYJIS inspects prompts for customer PII, network-configuration data, and intercept-sensitive content, and blocks or redirects the interaction before it leaves the enterprise.

Evidence. Every enforcement decision is recorded, producing a defensible audit log for regulators, auditors, and internal governance review.

Awareness. AI Awareness Programme — OASAP is delivered in multiple languages to build governance awareness across technical and non-technical roles.

Enterprise Deployment

OneCompliant methodologies and governance capabilities — including OASAT, OASF and OASAP — have been deployed within a tier-one European telecommunications environment, with the awareness programme adopted organisation-wide and the AI governance briefing adopted as an operational standard by the CISO. AYJIS extends this operating model into runtime enforcement.

Request Telecom Assessment
Pharmaceuticals

AI governance for GxP environments and clinical operations.

Pharmaceutical companies operate under GxP validation, clinical-trial data integrity, and pharmacovigilance obligations while accelerating AI use in discovery, manufacturing, and regulatory work. Certain AI systems — for example those acting as safety components or used in regulated manufacturing and clinical decision contexts — may qualify as high-risk under the EU AI Act, depending on their intended purpose and deployment context, and may also fall within GxP validation scope.

Where is AI being used?

  • Drug discovery, molecule screening, and research analytics
  • Manufacturing and quality-control analytics in GxP-relevant processes
  • Clinical-trial data analysis and pharmacovigilance case processing
  • Medical writing and regulatory document drafting

What can go wrong?

Confidential clinical data leaving validated systems

A medical writer uses a public AI tool to draft a regulatory document and pastes in unpublished trial data — moving confidential clinical information outside validated, governed environments.

GxP validation and documentation gap

AI used in manufacturing, QC, or clinical operations without validation and governance documentation creates deviation risk and gaps in regulatory submissions.

Patient and pharmacovigilance data exposure

Patient records and safety information flow into uncontrolled AI environments without inspection, creating data-protection and integrity risk.

Model integrity and drift

AI models used in research or manufacturing degrade, become biased, or are manipulated without monitoring — undermining data integrity and decisions.

How does OneCompliant control it?

Assess. OASAT identifies AI usage across GxP-relevant processes and classifies each use case against EU AI Act exposure and GxP validation scope.

Govern. OASF provides the control architecture, ownership, and human-oversight model for AI in regulated manufacturing and clinical environments.

Enforce. When clinical data, patient information, or proprietary compound data is sent to an unapproved AI model, AYJIS detects the content classification, blocks or redirects the interaction, and records the decision.

Evidence. AYJIS produces the complete, timestamped interaction log needed for GxP audit trails and to support regulatory submissions.

Awareness. OASAP awareness content is tailored to research, regulatory, manufacturing, and quality roles.

Request Pharma Assessment
Manufacturing

AI governance for the factory floor, the engineering office, and the supply chain.

Manufacturers are adopting AI across engineering, production planning, quality, procurement, and maintenance. The same tools that speed the business can leak decades of process know-how and reach into OT-adjacent systems. Certain AI systems — for example those used in worker management or acting as safety components of machinery — may qualify as high-risk under the EU AI Act, depending on their intended purpose and deployment context; large manufacturers may also fall within NIS2 scope.

Where is AI being used?

  • Engineering and design copilots, including CAD and documentation assistants
  • Production planning, scheduling, and predictive maintenance
  • Vision-based quality inspection and defect detection
  • Procurement, supplier analytics, and back-office automation

What can go wrong?

Design and process IP leaving the enterprise

Engineers paste specifications, design notes, and proprietary process parameters into public AI tools — decades of know-how leaving the enterprise unseen.

OT/IT convergence risk

AI reaching into production-adjacent systems introduces new attack surfaces in environments engineered around IEC 62443 and deterministic behaviour.

NIS2 demonstrable security

NIS2 brings large manufacturers into scope, with demonstrable security requirements that extend to AI-enabled systems — not just policy documents.

Unclassified higher-risk use

AI used in worker management, or acting as a safety component of machinery, is deployed without classification or oversight — leaving potential high-risk obligations unaddressed.

How does OneCompliant control it?

Assess. OASAT maps AI usage across engineering, production, quality, and back office — including the shadow AI your teams already use — and classifies each use case by intended purpose.

Govern. OASF provides the control framework, aligned to NIS2 obligations and existing industrial security practice such as ISO 27001 and IEC 62443.

Enforce. An engineer attempts to upload proprietary technical drawings or source code to an unapproved AI service. AYJIS detects the content classification, blocks or redirects the interaction, records the decision, and creates evidence for governance review.

Evidence. AYJIS delivers the complete interaction log — a defensible record for auditors, customers, and regulators.

Awareness. OASAP awareness content is delivered in the languages of your plants and offices, across technical and shop-floor roles.

Request Manufacturing Assessment
Critical Infrastructure

AI governance where failure is not an option.

Critical infrastructure operators — energy, water, transport, finance — face the highest-stakes AI environment, where NIS2 mandates security of AI-enabled systems. Certain AI systems used as safety components or in the management and operation of specified critical infrastructure may qualify as high-risk under Annex III, depending on their intended purpose and deployment context.

Where is AI being used?

  • Load balancing, demand forecasting, and grid or network optimisation
  • Anomaly detection and predictive maintenance of physical assets
  • Control-room decision support and operational analytics
  • Fraud and AML detection in financial operations

What can go wrong?

Adversarial input to decision support

An operator relies on an AI decision-support tool in a control room; a manipulated or adversarial input drives an unsafe recommendation with potential physical-world consequences.

Operational technology attack surface

AI used in OT environments introduces novel attack surfaces — prompt injection, model manipulation, and adversarial inputs in systems engineered for deterministic behaviour.

AI incident-response gap

Most operators have no defined AI-specific incident-response procedure for model drift, adversarial attack, or AI system failure.

NIS2 demonstrable security

NIS2 requires demonstrable security of AI systems used in critical operations. Policy documents alone do not satisfy NIS2.

How does OneCompliant control it?

Assess. OASAT identifies AI use cases that may qualify as high-risk under Annex III and maps NIS2 security obligations to current control gaps.

Govern. OASF provides the governance architecture supporting NIS2 Article 21 requirements, with a human-oversight model designed into the controls.

Enforce. AYJIS provides runtime enforcement — every AI interaction routed through it in sensitive operational contexts is inspected, controlled, and blocked or redirected where unsafe or non-compliant.

Evidence. A complete audit log, plus an AI incident-response framework covering drift detection, adversarial-manipulation response, and governance escalation.

Awareness. OASAP builds AI governance awareness across operational, engineering, and control-room teams.

Request Infrastructure Assessment
Enterprise AI Governance

Organisation-wide AI governance for multi-model enterprise environments.

Large enterprises manage AI adoption across many business units, geographies, and model providers. Adoption outpaces manual governance, and whether a given system carries heightened obligations depends on its intended purpose and deployment context. Policy without enforcement is not control.

Where is AI being used?

  • Multiple model providers across teams — OpenAI, Anthropic, Google, Microsoft Copilot
  • Embedded copilots in Microsoft 365 and Google Workspace
  • Departmental chatbots, code assistants, and analytics copilots
  • Automation workflows combining AI with existing business processes

What can go wrong?

Multi-model AI sprawl

Different business units use different AI providers with no central visibility of what data is shared or which providers are approved.

Uncontrolled copilots

An employee shares a confidential document into an embedded copilot; the content is processed by an external model without inspection or governance controls.

Board-level accountability gap

The board requires demonstrable AI governance. Without audit visibility and governance reporting, that accountability cannot be met.

CISO ownership of AI risk

AI risk is increasingly a CISO responsibility — but most security teams have no AI-specific governance tools or frameworks.

How does OneCompliant control it?

Assess. OASAT provides the enterprise-wide AI usage map the CISO needs — all tools, all business units, classified by intended purpose and risk.

Govern. OASF establishes the governance framework, ownership, and human-oversight model so AI risk has a clear owner across the organisation.

Enforce. AYJIS provides a single governed entry point for enterprise AI — inspecting prompts and responses, routing to the best approved model, and blocking or redirecting non-compliant interactions.

Evidence. AYJIS generates board-ready governance reporting — AI usage, policy-compliance rate, blocked interactions, and audit readiness — backed by a complete interaction log.

Awareness. OASAP reaches all workforce layers, from general employees through to executive leadership.

Request Enterprise Assessment

Which industry are you in?

Every OASAT Assessment is tailored to your industry's specific regulatory obligations, risk profile, and operational environment. Fixed price. Delivered in weeks.

Request Assessment View Compliance Mappings