For government

Government runs on decisions, not screens

Leadership sets the priorities. The platform turns them into procedures, roles and desks where agents prepare the work and officials make the decisions. Inside your environment, with every decision on record.

Request a meeting Get the procurement pack

Try it yourself

Give an instruction. Watch it become work.

Write it the way you would say it to your team. The platform asks only what is missing, lays it onto desks and gives part of it to agents.

Or start from an example

Press Run, and the instruction unfolds here: what was understood, two questions for you, the desks and the agents.

Read

Two questions first

On the desks

From Monday, on every case

A demonstration on fictional data. The sentence is read in your browser by simple rules; nothing is sent anywhere.

The minister’s office, on one desk

Requests and instructions arrive sorted by urgency, checked against the register and the rules, with the reply drafted. The official decides. Try it.

Minister’s office deskMinistry of Trade and Industry, Republic of Ostrevia

Decided today 0

From the citizen service desk

Citizen request: export licence delayed 21 days

2 days

Prepared by the minister’s office copilot

Reply drafted. Cause found and owner identified.

Application found and complete
Licence register, file EL-5531
Delay caused by a missing customs code
Customs authority, 3 Oct
Legal deadline for a reply: 30 days
Regulation on citizen requests
Responsible: licensing department
Agency operating model

Your decision

Example desk. All organisations and names are fictional.

Where an agency feels it first

Five flows an agency usually starts with. Each step shows who does it: the system, an agent with an official, or an official alone.

File EL-5531
1
Request arrives by email, form or in person
System
2
Read, sorted, the file and the applicant found
Agent prepares
3
Cause found and reply draftedWith the rule and the deadline
Agent prepares
4
Reply approvedHead of the office
Person only
5
Sent, deadline closed on record
System

No request waits unseen, and every reply shows who approved it.

Instruction
1
Instruction given at a meeting
Person
2
Open questions answered
Agent prepares
3
Plan across departments
Agent prepares
4
Plan approved
Person only
5
Weekly progress on every task
System

The minister sees each instruction as progress on real files.

Lab equipment
1
Need raised by a department
Person
2
Budget line checked, brief drafted
Agent prepares
3
Offers compared on price and record
Agent prepares
4
Award decidedBy the procurement committee
Person only
5
Contract and payment on record
System

Every award shows the offers it beat and the budget it used.

Customs data
1
Data needed from another agency
Person
2
Request drafted in the agreed format
Agent prepares
3
Request signed and sent
Person only
4
Deadline followed up
System
5
Answer filed to the case
Agent prepares

Requests between agencies have owners and deadlines, like any other task.

Decision
1
Decision made on a desk or at a meeting
Person only
2
Grounds and sources attached
Agent prepares
3
Recorded with name and time
System
4
Linked to the rule it changes
Agent prepares
5
Open to audit
System

Any decision can be traced back to the person, the time and the grounds.

System runs by the rules
Agent prepares a person confirms
Person does the step
Person only money, law, signature

Try it yourself

A licence application, through the platform’s eyes

Move the lens over the application. The platform reads every field, checks it against the registers and flags what does not add up.

ApplicantFound in the company register
FileComplete since 22 Sep
GoodsCode matches the customs list
ReferenceContradiction: the annex says A-148
AnnexOne of the two numbers is wrong. An official decides.
SignedSignatory has the right to sign

0 of 6 fields read

Turn it

The agency remembers every decision

Each decision keeps who made it, when, on what grounds, from which sources and under which version of the rule. Scroll to turn back through time.

Today, 11:42

Reply approved on file EL-5531

Decided by: Head of the minister’s office
Grounds: Cause found: a missing customs code
Sources: Licence register · Customs letter, 3 Oct
Rule: Citizen requests, version 4

Your data stays in your country

1 / 4

Your data goes in

Documents, records and conversations go into a vault on your own servers, in your country. Nothing is copied to someone else’s cloud.

2 / 4

A local model works inside

Open models run inside the vault. Routine reading, matching and drafting never leave it, and keep going even with the internet off.

3 / 4

Strong models, masked data

For hard tasks we use the strongest outside models. At the border names, contacts and amounts are replaced, and every call passes through our protection.

4 / 4

The answer comes back whole

The model answers about “Person A”. Inside the vault the real name and amount are put back. The outside service never saw them and keeps nothing.

Your servers · your country

Outside AI serviceNot usedSees masked text onlyAnswers, and keeps nothing

Border

Encrypted channel
No training on your data
Every call logged

Contract C-118Bank statementBoard minutesInvoice 0471Citizen requestPayrollLocal model at workWorks with the internet off

Invoice 0471matched to contract
Contract C-118summary drafted
Citizen requestrouted to licensing
Bank statement14 lines identified

Ahmed Al Mansouri · AED 412,800 · +971 50 123 4567Person A · Amount X · Phone ▇▇▇▇

Person A: reply drafted, Amount X confirmedAhmed Al Mansouri: reply drafted, AED 412,800 confirmed

128 outside calls today · all masked · all logged

Built in Dubai, for the UAE's ambitions

The UAE set the course. We build for it.

An AI-native government, an economy driven by AI, the best country in the world by 2071. Few nations aim this high, and say it this clearly. We share the ambition, and build the operating layer that turns it into everyday work.

2027
Abu Dhabi Government Digital StrategyThe world’s first fully AI-native governmentThe model and desks for an AI-native agency
2031
National Strategy for Artificial IntelligenceAmong the world’s leading nations in AIAgents on every desk. People decide.
2033
Dubai Economic Agenda D33Double the economy, AED 100 billion a year from digitalDigital operations for companies that scale
2071
UAE CentennialThe best country in the worldInstitutions that keep improving, fact by fact

Modules an agency starts with

The same modules serve ministries and companies. Names change, the discipline does not.

Sales and customersRequest intakeReads the inbox, filters noise, opens cases on the right desk.LeadershipLeadership consoleInstructions broken into tasks and followed up.LeadershipTasksEvery task tied to a case. An agent can be the assignee.Buying and payingProcurementBrief, offers, comparison, order.Documents and controlContracts and documentsTemplates, two-step review, signature.Documents and controlCounterparty checksMonitoring, stop list, price control before payment.

All modules

How an agency buys

First meeting

We meet the leadership and the digital team and agree what to look at first.

From you: One meeting with leadership
You get: An agreed first area

The agency, mapped

We map how the agency works today in that area.

From you: Sessions with heads of units
You get: A model of the area and a pilot scope

In your environment

The platform runs on your servers, with local models, on real files.

From you: A server in your environment and pilot users
You get: Working desks for one area

At the council

The procurement pack supports your tender process.

From you: Your procurement rules
You get: Documents for the tender committee

The procurement pack

Everything a tender committee and a security team ask for, in one document.

Platform description
Security and data residency
Deployment in your environment, including without internet
Roles, rights and the decision log
Implementation stages
Company details

Request the pack

Questions people ask

Can the platform run inside a government environment?

Yes. It can be deployed on the agency’s own servers, with local models and without an internet connection, so data stays in the country.

Who is accountable for decisions?

Officials. Agents prepare cases, check documents and draft replies; every decision is made by a person and recorded with who made it, when, on what grounds and under which version of the rule.

How does it help with leadership instructions and citizen requests?

An instruction becomes tasks on the right desks with owners and deadlines, followed up automatically. Citizen requests are registered, checked against registers and answered within the legal deadline, with every step on record.

How does it relate to the UAE’s AI strategies?

It provides an operating layer for an AI-native agency: models of procedures, desks for every role, AI agents with set rights, and a full decision log. SORP is an independent company and does not claim any government endorsement.

How does an agency procure it?

A first meeting, an assessment of one area, a pilot inside the agency’s own environment, and then a tender supported by the procurement pack with the platform description, security and data residency, deployment and implementation stages.

What happens to citizens’ details?

They stay in the agency’s environment. Routine work runs on local models. If an outside model is ever allowed for a hard task, names, contacts and other identifying details are masked before anything leaves.

Start with one process

Eight things that happen in most organisations. Swipe right if it happens in yours. Your map shows where agents should start.

1 / 8

Drag the card, or use the arrow keys

Start here

Agents
Where it runs

Request a pilot with this map See it in VR