AI strategy & governance
Define your target operating model, decision rights and executive oversight. Put a practical responsible-AI policy and approval process in place.
YOUR DELIVERABLESGovernance charter · RACI · Policy suite
AI GOVERNANCE, RISK & COMPLIANCE
Turn AI ambition
into trusted outcomes.
Accelerate adoption with confidence. Establish accountability from the boardroom to the model, embed responsible AI into daily decisions, and translate risk and compliance obligations into a practical operating model.
Discuss your AI readinessAI governance services
Readiness & maturity assessment
Build an inventory of AI use cases, models, data and vendors. Benchmark current capability and turn gaps into a prioritized transformation roadmap.
YOUR DELIVERABLESAI inventory · Maturity baseline · Roadmap
AI risk & impact advisory
Assess business, security, privacy and societal impacts across the AI lifecycle. Define risk acceptance criteria, human oversight and controls proportionate to each use case.
YOUR DELIVERABLESRisk register · Impact assessments · Control plan
Compliance & certification readiness
Map applicable Saudi requirements and relevant guidance. Prepare an AI management system, evidence and internal-review program informed by ISO/IEC 42001.
YOUR DELIVERABLESRequirements map · Gap analysis · Evidence pack
Secure GenAI & vendor assurance
Evaluate data handling, access controls and third-party dependencies. Establish guardrails for enterprise copilots, model procurement and acceptable use.
YOUR DELIVERABLESVendor due diligence · Security & privacy controls
Executive assurance & enablement
Equip leaders to oversee AI with meaningful reporting, performance and risk indicators, training and a repeatable improvement cycle.
YOUR DELIVERABLESBoard reporting · Training · Monitoring cadence
FROM ASSESSMENT TO EXECUTION
Clarity for leadership. Controls for the business.
- 01Discover & prioritize
- 02Design the governance model
- 03Embed controls & evidence
- 04Monitor, assure & improve
Grounded in recognized references
Alignment and implementation support tailored to the requirements that apply to your organization. Certification decisions remain with independent certification bodies.
Make responsible AI part of how you operate.
Discuss your AI use cases, priorities and governance maturity.