AI-Native Engineering
Initializing AI stack…
SOC 2 Type II, Saudi PDPL, NCA ECC, and ISO 27001 compliant AI architecture for GCC enterprises — responsible AI frameworks that satisfy regulators without slowing down your engineering teams.
Every engagement comes with these capabilities tailored to your requirements.
End-to-end SOC 2 Type II readiness — gap assessment across all five Trust Service Criteria, control implementation, evidence collection automation, mock audit, and CPA-firm liaison to deliver your report on time and on budget.
Combined Saudi PDPL and NCA ECC compliance programme — data inventory, consent management, data subject rights workflows, technical control implementation, and NCA assessment preparation delivered as a unified engagement.
Structured AI risk assessments covering model bias, explainability gaps, data quality risks, adversarial vulnerabilities, and regulatory exposure — delivering prioritised risk registers and a board-ready risk treatment plan.
Privacy-by-design architecture implementation — data minimisation, pseudonymisation, field-level encryption, consent management APIs, data subject rights automation, and retention policy enforcement built directly into your application and data layer.
AI ethics policy development, governance committee charter, Algorithmic Impact Assessments, model cards, OECD and IEEE AI Principles alignment — building the organisational structures and documentation to demonstrate responsible AI to regulators, customers, and boards.
Deep domain expertise across regulated and high-growth sectors in the GCC and globally.
A proven engagement process with complete visibility at every stage.
Identify all applicable regulations (PDPL, NCA ECC, SAMA CSFR, ISO 27001, SOC 2) based on your industry, data types, and geographic footprint — producing a prioritised compliance roadmap.
Systematic comparison of your current technical and organisational controls against each framework's requirements — quantified risk scores and remediation effort estimates.
Information security policies, privacy notices, AI ethics policy, data processing agreements, and ROPA (Records of Processing Activities) tailored to your operations.
Implementing security controls in your infrastructure and AI systems: encryption, access logging, data masking, explainability layers, and monitoring.
Staff awareness training on data protection and AI governance requirements — role-based modules for engineers, data scientists, and executive stakeholders.
Mock audit, evidence collection, auditor liaison, and remediation of any findings — supporting you through to certification or regulator sign-off.
Answers to the questions our clients ask most before engaging.
Real outcomes from real engagements.
IoT sensor data pipeline and ML-powered predictive maintenance system predicting equipment failures 48 hours in advance — reducing unplanned downtime by 35% for an energy infrastructure operator.
AI-powered citizen knowledge base with Arabic-English RAG pipeline serving 2M+ monthly queries for a GCC government ministry — deflecting 78% of call centre volume while maintaining 99.2% response accuracy.
Real-time shipment intelligence platform processing 500K daily tracking events with ML-powered exception prediction — cutting delivery exceptions by 40% for a regional logistics operator.
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