AI Governance · GCC Government, Healthcare & Higher Education
AI is already in your institution.
Governance is what turns it from exposure into capability.
A single working session that produces the documents an institution uses to govern its AI decisions. For government, healthcare, and higher education across the GCC.
Or see where your institution stands → take the Threshold Diagnostic
Clear AI decisions. Named accountability. Confident adoption of AI.
AI is already inside your institution. The framework that makes its use defensible, often, is not. Deployment scales in days; governance takes months. Threshold exists to close the distance between the two.
The Threshold Model
Four questions that define a defensible AI governance position.
The Threshold session answers four questions every leadership team must address before AI adoption is defensible. Each named output, the AI Use Policy, the Accountability Map, the Governance Brief, is the documented form of one of them.
deployment
Who decides?
Named individuals with authority to approve, restrict, or stop an AI use case. Not committees. Not roles. A decision-rights map the leadership team can defend.
What is allowed?
Approved use, prohibited use, and the unresolved middle. A documented position the leadership team has agreed, not a policy that leaves the hard cases ambiguous.
incident
Who is accountable?
A named individual with a documented mandate. Not "the vendor." Not "IT." A person in the organisational chart.
What happens when it fails?
Escalation paths, incident protocols, regulatory reporting obligations. The procedural answer most institutions only assemble after something has already gone wrong.
Together, the four questions form the threshold a leadership team must cross before AI adoption is genuinely defensible.
A governance position is the institution's documented answer to who approves AI, what is allowed, and how those decisions get made.
Before a conversation
The Threshold Diagnostic.
A short, confidential assessment of where your institution stands across six governance dimensions. Seventeen minutes, no technical knowledge required. Designed to stand alone, or to inform a working session.
See where your institution stands →You keep a PDF copy of your results. Your summary is shared with Threshold, in confidence, so we can prepare for the session if you choose to book one.
What happens in the session
The working session.
Decisions made, documented, and assigned to named owners.
Five working steps. The leadership team moves from a picture of where AI is currently being used to a documented governance position, in a single session.
01
Exposure mapped
Where AI is already influencing decisions across the institution, made visible to the leadership team in a single picture.
02
Risk vectors, against your reality
Current and planned AI use tested against data, decision, and vendor-dependence risk, with the relevant GCC regulatory anchors applied.
03
The AI Use Policy, built in the room
Using the four-question model, leadership defines what AI use is approved, restricted, and off-limits, then names who is accountable.
04
External scrutiny, rehearsed
The questions a minister, regulator, or board will ask, tested live, so the institution can answer them without rehearsal later.
05
Priorities, owners, and dates
Three concrete priorities agreed before the room closes, each with a named owner and a deadline. No follow-up workshop required.
What you and your leadership team leave with.
Every output is produced during the session itself. The leadership team leaves with documents they can put to work the next morning, alongside the institution's documented governance position.
01
The AI Use Policy
A documented position on what AI use is approved, what is prohibited, and what requires escalation. The institution's answer to "what is allowed" in writing.
02
The Accountability Map
Named individuals against named AI decisions. Not committees, not roles. A decision-rights structure that holds under scrutiny.
03
The Governance Brief
A written summary the leadership team can take to a minister, a board, or a regulator. The institution's governance position, in language a non-technical reader can act on.
Why Threshold
Why Threshold.
Independent.
Threshold sells no AI tools.
GCC-grounded.
Built on UAE, Saudi, Qatar, and Oman regulatory reality. GCC institutions also face cross-border scrutiny and follow international standards: EU AI Act, NIST, ISO 42001.
Governance-operational.
The session produces the documents, guidelines, and guardrails an institution needs to decide what is allowed, who decides, and what happens when something fails.
Request a session.
Engagement begins with an exploratory conversation, on-site or remote, to determine whether Threshold's working session fits your institution's current AI governance challenge.
Based in
DIFC, Dubai, UAE
Serving
Government, healthcare, and higher education institutions across the GCC
Response
Within one working day