AI Strategy & Enablement
Govern your AI systems before the regulator asks you to
You are already running AI tools somewhere in the business. This builds the policies, data maps and controls that let you prove, in writing, how personal data moves through them under Saudi PDPL.
2 to 4
weeks to a first governance package
2
languages, Arabic and English, on every document
10+
AI touchpoints typically mapped per engagement
The direct answer
AI governance and PDPL compliance is the documentation and control layer that sits around the AI tools your team already uses, chatbots, document extraction, recommendation engines, so you can show a regulator or an auditor exactly what personal data those tools touch and how it is protected. It is built for Saudi companies past pilot stage that now have real user or employee data flowing through AI.
What this removes.
No inventory of what AI touches
Today
Nobody can list every place AI tools read customer or employee data, so a PDPL request turns into a scramble.
With the system
A single register lists every AI system, what data it touches and who owns it, kept current as tools change.
Policies exist but nobody follows them
Today
A generic data-protection policy sits in a drawer and has never been checked against what the AI tools actually do.
With the system
Policies map to real systems and real workflows, so a manager can point to the exact control that applies.
Vendor contracts are silent on AI
Today
SaaS and AI vendor agreements were signed before anyone asked where the data goes or whether a model trains on it.
With the system
Vendor data terms are reviewed and flagged, with a clear list of which vendors need a new clause or a swap.
No answer ready for a regulator
Today
If SDAIA or a client audit team asked how an AI system handles personal data tomorrow, there is no document to hand over.
With the system
A board-ready compliance pack answers the standard questions before they are asked, in Arabic and English.
What lands in your hands.
AI use-case inventory
Every AI tool in use, what it does, and what personal data passes through it.
Data-flow maps
Diagrams showing where personal data enters, is processed, and where it is stored or sent.
PDPL risk register
Each use case scored against PDPL obligations, with the gaps ranked by exposure.
Policy and procedure set
Consent, retention, access and incident-response documents matched to your actual systems.
Vendor and cross-border review
Flags on AI vendor agreements silent on data location, training use or transfer terms.
Bilingual compliance pack
One Arabic and one English document set, ready to hand to a client, board or regulator.
Systems and platforms we work with
- OpenAI
- Anthropic
- Google Gemini
- Meta
Five stages. You sign off every one.
Read each stage as a small contract: what we need from you, what lands in your hands, and the sentence that has to be true before we move on.
- Discovery3 to 5 days
- Data-flow mapping1 week
- Risk and gap assessment1 week
- Policy and control build1 to 2 weeks
- Handover and review cadenceongoing
Discovery
3 to 5 days
We meet the teams actually using AI tools, not just IT, to find every system touching personal data.
- Name every AI tool in active use
- Introduce us to the teams running them
- Draft AI use-case list
- Initial interview notes
We move on when the use-case list is confirmed complete by the business owners, not just IT.
Data-flow mapping
1 week
For each use case we trace where personal data comes from, what the AI system does with it, and where it ends up.
- Grant access to relevant system diagrams
- Confirm data sources per system
- Data-flow diagrams per use case
- List of third-party processors involved
We move on when every mapped flow is confirmed accurate by the system owner.
Risk and gap assessment
1 week
Each flow is checked against PDPL requirements: lawful basis, consent, retention limits, cross-border transfer rules.
- Review the draft risk register
- Flag any commercially sensitive findings
- PDPL risk register
- Ranked list of gaps by exposure
We move on when the risk register is reviewed and priorities are agreed with legal or leadership.
Policy and control build
1 to 2 weeks
We draft the policies, procedures and vendor-review notes needed to close the ranked gaps, in Arabic and English.
- Review draft policies against actual practice
- Approve final wording
- Full bilingual policy set
- Vendor agreement review notes
We move on when leadership signs off on the policy set as accurate and enforceable.
Handover and review cadence
ongoing
We hand over the full pack with a plain-language walkthrough and set a schedule to revisit it as AI use changes.
- Assign an internal owner for the pack
- Confirm the review interval
- Final compliance pack
- Update schedule and change-log template
We move on when an internal owner is named and the next review date is on the calendar.
Asked before signing.
How is this priced?
Fixed fee, scoped after discovery once we know how many AI use cases and data flows are involved. A single-department engagement with two or three AI tools is a smaller scope than a company-wide inventory across ten systems. We quote before any policy work starts.
Do you file anything with SDAIA on our behalf?
No. We build the internal documentation, risk register and policies that let you or your legal counsel respond to SDAIA or any auditor with confidence. Formal regulatory filings and legal sign-off stay with your own counsel, we are not a law firm.
Do we get documents in Arabic?
Yes, every deliverable, the inventory, risk register, policies and the final pack, ships in both Arabic and English as standard, not as an add-on. Saudi teams reviewing the pack and any Arabic-speaking regulator or client should be able to read it directly.
What if we bring in a new AI tool after this is done?
The pack includes a change-log template and a review interval, usually quarterly or on any new AI deployment, so a new tool gets added to the inventory and mapped before it goes live rather than after an incident.
Get your AI systems documented and defensible
Tell us which AI tools you are already running. We will scope a fixed-fee governance package and tell you honestly if a lighter review is enough.