AI governance, safety and compliance
AI you can defend to a regulator, with the controls in place.
Policy, controls and assurance for organisations adopting AI, aligned with the Kingdom’s frameworks. Because the same firm builds systems, audit findings become implemented controls with an audit trail.
02What it is
Governance a regulator can inspect, in controls and logs.
AI governance at The ArchiTechs Group is the set of policies, controls and assurance that let a Saudi organisation account for its use of AI, aligned with SDAIA’s AI ethics and adoption guidance, the Personal Data Protection Law and NCA controls where they apply. Safety here means governance and assurance for deployed systems; it does not refer to research-lab safety. SDAIA’s guidance and the national AI programmes set the framework this practice works within, in line with the goals of Vision 2030.
For whom
For boards, risk and compliance functions, information security leadership, and any organisation deploying AI that answers to a regulator in Saudi Arabia.
03Shape of the work
Policy, roles, approval gates, a model inventory and human-oversight requirements, written for the structure your organisation has.
For planned or deployed AI systems, including data residency and exposure under the PDPL.
Where they fail, where data leaks, and where a wrong answer costs money or standing. Findings come as a written report with the reasoning shown.
Findings implemented as controls in the systems themselves: input and output policy, audit logs, and human checkpoints.
The documentation pack an organisation produces when asked how it governs its AI.
- 01Governance frameworkPolicy, roles, approval gates, a model inventory and human-oversight requirements, written for the structure your organisation has.
- 02Risk and impact reviewFor planned or deployed AI systems, including data residency and exposure under the PDPL.
- 03Audit of live systemsWhere they fail, where data leaks, and where a wrong answer costs money or standing. Findings come as a written report with the reasoning shown.
- 04Guardrails engineeringFindings implemented as controls in the systems themselves: input and output policy, audit logs, and human checkpoints.
- 05Regulator readinessThe documentation pack an organisation produces when asked how it governs its AI.
04What you receive
How the engagement runs
Advisory sprints and audits are fixed-scope, and ongoing assurance runs as a named retainer. Where a system cannot be made defensible, the report states that and explains why.
- A governance framework written for your structure
- Risk and impact assessments, including PDPL exposure
- Audit findings in a written report, with the reasoning shown
- Implemented controls: policy, audit logs, human checkpoints
- A documentation pack prepared for a regulator
05The other lines of work
All services- 01
Enterprise systems and ERP
An ERP that fits how the organisation works, and still upgrades.
- 02
Web and mobile applications
Applications people use every day, in Arabic and in English.
- 03
Fintech and regulated platforms
Payment, lending and back-office platforms, built to be audited.
- 04
AI transformation
From assessment to systems in production, with one team advising and building.
- 05
Sovereign and private AI deployment
Capable AI on infrastructure you control, run by your own team.
06Start here
Bring us the system, and we will tell you where its governance stands.
Tell us what the system does, who it answers to, and what it decides. The first reply says where the gaps are likely to be and what an audit would cover.
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