TECHTIMIZE

AI-Native Engineering

Initializing AI stack…

SOC 2, PDPL, NCA ECC & Responsible AI for GCC

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.

Start a Project →Book a Call

Compliance-CertifiedMaturity Score

Service Readiness

Built for Production from Day One

Compliance-Certified

Overall maturity score based on deployment history, test coverage & SLA performance

Problems We Solve

Regulators Flagging Your AI Systems

SAMA, NCA, and CITC are actively auditing AI systems in KSA financial and telecom sectors. Non-compliance risks fines, operating restrictions, and reputational damage. We make your AI systems audit-ready before the regulator calls.

AI Systems Without Explainability or Audit Trails

Black-box AI decisions in lending, HR, or healthcare create legal liability. We implement explainable AI (XAI) layers, decision logging, and human-in-the-loop controls that satisfy both regulators and end-users.

Data Crossing Borders Without Legal Basis

Transferring personal data of Saudi nationals to overseas AI APIs without legal basis violates PDPL and can trigger enforcement. We establish lawful transfer mechanisms or deploy on-premise/regional alternatives.

AI Bias & Fairness Risks in High-Stakes Decisions

AI models trained on biased data produce discriminatory outcomes in hiring, credit, and healthcare. We implement bias audits, fairness metrics, and algorithmic impact assessments aligned to emerging MENA AI regulations.

Capabilities

What's Included

Every engagement comes with these capabilities tailored to your requirements.

SOC 2 Compliance

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.

Learn more

PDPL / NCA ECC Readiness

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.

Learn more

AI Risk Assessment

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.

Learn more

Data Privacy Engineering

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.

Learn more

Ethical AI Frameworks

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.

Learn more

Compliance Audits & Reporting

Ongoing compliance audit programmes, automated evidence collection, regulatory reporting dashboards, and continuous control monitoring — keeping your compliance posture visible, current, and defensible between certification cycles.

Learn more

Verticals

Industries We Serve

Deep domain expertise across regulated and high-growth sectors in the GCC and globally.

Banking & SAMA-Regulated

Insurance (SAMA)

Telecom (CITC)

Healthcare (MOH)

Government Entities

Listed Companies (CMA)

Defence & Critical Infrastructure

Methodology

How We Deliver

A proven engagement process with complete visibility at every stage.

Compliance Landscape Assessment

Week 1–2

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.

Gap Analysis & Risk Assessment

Week 2–4

Systematic comparison of your current technical and organisational controls against each framework's requirements — quantified risk scores and remediation effort estimates.

Policy & Documentation Development

Week 3–5

Information security policies, privacy notices, AI ethics policy, data processing agreements, and ROPA (Records of Processing Activities) tailored to your operations.

Technical Controls Implementation

Week 4–10

Implementing security controls in your infrastructure and AI systems: encryption, access logging, data masking, explainability layers, and monitoring.

Training & Awareness

Week 8–10

Staff awareness training on data protection and AI governance requirements — role-based modules for engineers, data scientists, and executive stakeholders.