OneCompliant is built on 20+ years of operational experience across the industries where AI governance is not optional — it is a regulatory and operational necessity.
Telecom operators manage critical national infrastructure, vast customer data estates, and lawful intercept obligations — all while facing pressure to adopt AI at speed. The AI governance gap in telecom is immediate and regulatory.
Key Challenges
AI models processing network data create lawful intercept compliance exposure if not governed at runtime.
Customer PII flows into AI tools without inspection, creating GDPR and NIS2 liability.
Network engineers, customer service, and marketing all use AI tools with no central visibility or control.
AI used in network management and customer credit scoring may be classified as high-risk under the EU AI Act.
OneCompliant Approach
OASAT assessment maps all AI usage across network, customer care, and back-office functions — including shadow AI
Aegis Gateway provides a governed AI entry point — employees use sanctioned AI with all interactions logged and controlled
Aegis Guard inspects all prompts for customer PII, network configuration data, and lawful intercept-sensitive content before transmission
OASF framework aligned to NIS2 AI security requirements and EU AI Act high-risk obligations
OASAP awareness programme deployed in multiple languages — validated in production at a major European operator
Production Reference
OASAP awareness programme adopted organisation-wide by a leading European telecom operator. AI governance briefing adopted as operational standard by the CISO.
Pharmaceutical companies face the most complex AI governance environment: GxP validation requirements, clinical trial data integrity, pharmacovigilance obligations, and an accelerating push to use AI in drug discovery and manufacturing. AI without governance is a GxP deviation waiting to happen.
Key Challenges
AI used in manufacturing, QC, or clinical operations requires validation — and AI governance documentation for regulatory submissions.
Trial data, patient records, and pharmacovigilance information must not flow into uncontrolled AI environments.
Medical writers, regulatory affairs teams, and safety teams using AI for document generation without governance creates regulatory risk.
AI models used in research or manufacturing must be monitored for drift, bias, and adversarial manipulation.
OneCompliant Approach
OASAT identifies all AI usage in GxP-relevant processes and maps risk against EU AI Act and GxP validation requirements
OASF framework provides the control architecture for AI governance in regulated manufacturing and clinical environments
Aegis Guard prevents clinical data, patient information, and proprietary compound data from reaching unapproved AI models
Aegis Audit provides the complete interaction log required for GxP audit trails and regulatory submission support
OASAP awareness programme tailored for pharmaceutical workforce roles — research, regulatory, manufacturing, and quality
Manufacturers are adopting AI faster than almost any other sector — in engineering, production planning, quality, procurement, and maintenance. The same AI that accelerates the business can leak decades of process know-how, reach into OT-adjacent systems, and trigger EU AI Act and NIS2 obligations. For industrial enterprises, AI governance is IP protection and operational integrity.
Key Challenges
Engineers pasting specifications, design notes, and proprietary process parameters into public AI tools — decades of know-how leaving the enterprise unseen.
AI reaching into production-adjacent systems introduces new attack surfaces in environments engineered around IEC 62443 and deterministic behaviour.
NIS2 brings large manufacturers into scope — with demonstrable security requirements that extend to AI-enabled systems, not just policy documents.
AI used in employment and worker-management contexts is high-risk under Annex III — and AI acting as a safety component of machinery falls under the AI Act via EU product legislation.
OneCompliant Approach
OASAT maps AI usage across engineering, production, quality, and back office — including the shadow AI your teams already use
Aegis Guard inspects every prompt for design data, process parameters, and supplier or pricing information before it leaves the enterprise
OASF provides the control framework aligned to NIS2 obligations and existing industrial security practice — ISO 27001, IEC 62443
Aegis Audit delivers the complete interaction log — evidence for auditors, customers, and regulators
OASAP awareness programme in the languages of your plants and offices — production-validated at a European enterprise
Critical infrastructure operators — energy, water, transport, finance — face the highest-stakes AI governance environment. NIS2 mandates security of AI-enabled systems. EU AI Act classifies many critical infrastructure AI use cases as high-risk. Uncontrolled AI in these environments is not a technology problem. It is a national security issue.
Key Challenges
NIS2 requires demonstrable security of AI systems used in critical operations. Policy documents alone do not satisfy NIS2.
AI used in OT environments introduces novel attack surfaces — prompt injection, model manipulation, and adversarial inputs with physical-world consequences.
Most critical infrastructure operators have no defined AI-specific incident response procedure for model drift, adversarial attack, or AI system failure.
AI systems in critical infrastructure are classified as high-risk under Annex III of the EU AI Act — requiring mandatory governance and human oversight.
OneCompliant Approach
OASAT identifies high-risk AI use cases under EU AI Act Annex III and maps NIS2 security obligations to current control gaps
OASF framework provides the governance architecture required under NIS2 Article 21 for AI-enabled systems
Aegis provides runtime enforcement — every AI interaction in sensitive operational contexts is inspected, controlled, and logged
AI incident response framework included — covering model drift detection, adversarial manipulation response, and governance escalation
Human oversight architecture designed into all governance controls — meeting EU AI Act mandatory human oversight requirements
Large enterprises managing AI adoption across multiple business units, geographies, and model providers face a governance challenge that policy documents cannot solve. The speed of AI adoption outpaces any manual governance process. Runtime enforcement is the only scalable answer.
Key Challenges
Different business units use different AI providers — OpenAI, Anthropic, Google, Microsoft Copilot — with no central visibility or governance.
Embedded AI in productivity suites (Microsoft 365, Google Workspace) processes sensitive data without inspection or governance controls.
The board requires demonstrable AI governance. Without audit visibility and governance reporting, that accountability cannot be met.
AI risk is increasingly a CISO responsibility — but most security teams have no AI-specific governance tools or frameworks.
OneCompliant Approach
OASAT provides the enterprise-wide AI usage map the CISO needs — all tools, all business units, all risk categories
Aegis Gateway provides the single governed entry point for enterprise AI — replacing shadow AI with sanctioned, controlled access
Aegis Routing abstracts the model ecosystem — employees get the best approved model for their task without choosing providers themselves
Aegis Risk generates the board-ready governance report — AI usage, policy compliance rate, blocked interactions, and audit readiness score
OASAP enterprise awareness programme across all workforce layers — general employees through to executive leadership
Every OASAT Assessment is tailored to your industry's specific regulatory obligations, risk profile, and operational environment. Fixed price. Delivered in weeks.