
Technology and knowledge
Launch a PPP program for AI Companies in Jordan
A free 17-page guide · The $500 trillion PPP infrastructure opportunity
What this guide is for
Your company launches a PPP program to prepare, advise on and run public-private partnership (PPP) projects with its models, agents and applications, and to build the sovereign compute they run on.
The case
AI companies take the cost and the years out of every PPP
Infrastructure has long been prepared by hand, one study and one spreadsheet at a time, and run on maintenance schedules written decades ago. The projects of the next fifty years will be prepared, procured and operated with AI from the first market sounding to the last year of the concession, and the companies that build those models will hold contracts as long as the assets they run. This guide invites AI companies in Jordan to launch a PPP program, starting with the projects at home.
The guide
Bring intelligence to the $500 trillion PPP infrastructure opportunity
Your company opens a dedicated PPP program, a team and a set of products that bring its models, agents and applications into PPP projects from preparation to operation and develop sovereign compute as an asset in its own right, starting with Jordan’s $86 billion of projects and the $46 billion anchored in Aqaba.
01
A PPP AI team
A dedicated team that knows how PPPs are prepared, procured and financed turns the company’s models into products that contracting authorities, advisors, bidders and operators can buy, and it follows every project in Jordan’s pipeline from the first market sounding.
02
An AI technical advisor on every project
The company sits beside the legal, financial and engineering advisors as the project’s AI technical advisor. It produces and tests feasibility studies, financial models, risk matrices and tender documents in days and answers questions on every contract and drawing in plain language.
03
AI that runs the asset
Digital twins, predictive maintenance and traffic, water and grid optimization are sold to operators under contracts as long as the concession, with service levels tied to the availability and performance payments the operator earns.
04
Arabic AI and sovereign compute
Arabic-language assistants can handle permits, billing and citizen questions for every PPP asset. The data centers that run them inside Jordan can be procured as PPPs in their own right, with the company as sponsor, operator or anchor tenant.
05
Small-scale PPPs and direct proposals
Jordan’s PPP Regulation No. 9 of 2024 defines small-scale PPPs below $14.1 million, which can be bundled into one feasibility report and one tender, and PPP Law No. 19 of 2023 accepts direct private proposals under Article 15. Your company can propose an AI-run water network, traffic corridor or digital permit service and prove it at small scale first.

Why AI companies
AI companies take the cost and the years out of every PPP
A PPP takes about seven years and around 10% of its capital cost to reach financial close, and most of that time and money goes into documents, models and negotiation. AI companies build the tools that do that work, and the same tools then run the asset for the life of the concession.
Where AI companies fit in a PPP
- Preparation
- Feasibility studies, options appraisals, cost plans, risk matrices and financial models produced and tested in days.
- Procurement
- Tender documents drafted from standard clauses, and bids compared on whole-life cost and deliverability.
- Advisory
- An AI technical advisor beside the legal, financial and engineering advisors, answering questions on every document.
- Operation
- Digital twins, predictive maintenance and traffic, water and grid optimization for the life of the concession.
- Compute
- Sovereign data centers procured as PPPs, with AI companies as sponsors, operators or anchor tenants.
What changes for AI companies
PPPs reward what AI companies already do well: reading long documents, modeling uncertain cash flows and predicting failure from data. Advisors have done that work at a cost only large projects could carry, and AI brings it down far enough for small projects to reach tender, which multiplies the PPPs a country can run and the customers an AI company can serve. Arabic-language models then open the public services around every asset, from permits to billing.
Why a program, and why now
Without a program, an AI company sells a pilot to one ministry and waits for the next. A program puts the company inside the advisory teams and bidding consortiums while projects are being shaped, so its models are written into the tender and its contract runs for the life of the concession. Jordan arrives late to PPP software with few legacy systems to replace, and the AI companies that join its projects now will set the data standards the next ones follow.


Futureproofing
Futureproof AI Companies in Jordan for the infrastructure singularity
This free 17-page guide shows how, with small PPPs in parallel, PPP research labs, artificial intelligence, robotics, tokenization and six first steps.

Jordan and Aqaba
An $86 billion pipeline to start with
Every one of them will need studies, models and tender documents before it is built, and the software that runs it for decades after. A Jordanian AI company that prepares and runs one project at home can carry the same models to the next one across the region.
- $86B
- of PPP and infrastructure projects in development in Jordan
- $46B
- of them anchored in Aqaba

Artificial intelligence
For an AI company, every PPP holds two markets. Preparation pays for the studies, models and tender documents that governments and bidders need before financial close, and operation pays for the digital twin and predictive models that run the asset under contracts as long as the concession. Each project also adds Jordanian data on costs, contracts and asset condition, and each model trained on that data prices the next bid more accurately and runs the next asset at lower cost.

Robotics
Robots on a PPP asset depend on AI to see, plan and report. Vision models turn drone and crawler footage into defect reports, planning models route each machine and schedule the repairs, and the digital twin records what the fleet found and fixed. An AI company can supply that intelligence layer to robotics makers and operators and earn from every inspection and repair they carry out.

Tokenization
A tokenized PPP pays its holders from the asset’s own revenue, and investors need to trust the numbers behind each payment. An AI company can supply the models that forecast tolls, tariffs and availability payments, monitor the asset and report its performance to the registry, so holders see what they own as it happens. Sovereign compute can be tokenized too, with stakes in a data center paid from its capacity contracts.

Small PPPs and research labs
Small PPPs work only when preparing them costs little, and AI is what brings that cost down. An AI company can prepare the studies, contracts and tenders for a whole round of lab pilots at once, train its operating models on the data each pilot publishes and prove its accuracy in public, which builds the track record that large concessions ask for.

Unsolicited proposals
An AI company can see where a public service loses money, time or water and model what fixing it would earn. Article 15 lets it turn that model into a direct proposal for an AI-run service, such as leak detection or digital permits, protect the intellectual property behind it and keep the right to match the best offer at tender.
The program
How the program could work
The program can sit inside the company’s product and government teams, with a PPP lead at its center and products built from the models the company already runs.
- PPP team
- A small team of product, engineering, finance and legal people that covers every PPP in Jordan’s pipeline from the first market sounding.
- Preparation
- Tools for feasibility studies, financial models and tender documents, and a standard AI technical advisor appointment that a contracting authority can sign.
- Operations
- Digital twins, predictive maintenance and network optimization priced for whole-life contracts, with service levels that match a concession.
- Arabic services
- Arabic-language assistants for permits, billing and public services, built for the users of each asset.
- Sovereign compute
- Data center and compute projects developed as PPPs, with the company as sponsor, operator or anchor tenant.
- Direct proposals
- AI-led projects brought to government under Article 15, including small-scale PPPs below $14.1 million.
- Partners
- Agreements with developers, contractors, operators, telecom companies, banks and infrastructure funds that need AI inside their projects.
What the company gains
The company gains fees on the preparation of every project it advises and contracts that run as long as the concessions it serves, paid by governments, sponsors and operators. Every project adds data, a reference and a route into the next consortium, in Jordan and across the region.
It also gains a position in the operating system of the next form of infrastructure. The first AI company in the region to prepare a PPP, advise on its tender and run the finished asset will set the data and model standards that later projects are written around.


Next steps
How an AI company can start
Any AI company in Jordan can take this guide forward. The first steps use the models, engineers and data the company already has.
01
Mandate
Board approval for a PPP AI program, with its products, its sectors and its goals for the first year.
02
Team
A named program lead, with product, engineering, finance and legal people drawn from the company’s existing teams.
03
Pipeline
A map of Jordan’s $86 billion of projects by sector and stage, and early meetings with the contracting authorities, advisors and operators that will buy AI.
04
Products
Preparation tools, an advisory offer, operating models and Arabic assistants packaged for PPP buyers and priced for whole-life contracts.
05
Partners
Developers, contractors, operators, telecom companies and data center investors that need AI inside their projects.
06
Pilot
A first AI-run pilot or AI-led direct proposal, taken from idea to submission.
Jordan has the projects, Arabic-speaking engineers and a law that lets a company propose its own. A PPP program puts your models inside the assets of the superintelligent infrastructure future, from their first study to their last year of operation.
The full document
Inside this guide
Seventeen pages and thirteen sections, from the case for a PPP program to the first steps, written for AI companies in Jordan.
Download the guide (PDF)- 01IntroductionWhy a century of infrastructure needs rebuilding, and the $500 trillion it will take.p. 3
- 02The guideBring intelligence to the $500 trillion PPP infrastructure opportunityp. 5
- 03Jordan and AqabaAn $86 billion pipeline to start withp. 6
- 04Artificial intelligenceHow AI designs, structures and runs PPP projects, and what it means for AI companies.p. 7
- 05RoboticsHow robots build infrastructure and keep it running, and what that means for AI companies.p. 8
- 06TokenizationHow tokenization funds projects from their own revenue, and the role it opens for AI companies.p. 9
- 07Small PPPs in parallelWhy many small PPPs teach a country faster than a few large ones.p. 10
- 08PPP research labsA lab in each sector, running ten small PPP projects a year.p. 11
- 09Unsolicited proposalsHow Jordan’s PPP law accepts direct proposals from private companies.p. 12
- 10Why AI companiesAI companies take the cost and the years out of every PPPp. 13
- 11The programThe program can sit inside the company’s product and government teams, with a PPP lead at its center and products built from the models the company already runs.p. 14
- 12AboutAbout Jordan PPP and what it offers.p. 15
- 13Next stepsHow an AI company can start: six first steps.p. 16
Questions
Questions about the guide for AI Companies in Jordan
- What does the guide for AI Companies in Jordan propose?
- Your company launches a PPP program to prepare, advise on and run public-private partnership (PPP) projects with its models, agents and applications, and to build the sovereign compute they run on.
- Why should AI companies in Jordan launch a PPP program?
- AI companies take the cost and the years out of every PPP. A PPP takes about seven years and around 10% of its capital cost to reach financial close, and most of that time and money goes into documents, models and negotiation. AI companies build the tools that do that work, and the same tools then run the asset for the life of the concession.
- Which PPP projects can AI companies in Jordan take part in?
- Jordan has about $86 billion of PPP and infrastructure projects in development, $46 billion of them anchored in Aqaba. Every one of them will need studies, models and tender documents before it is built, and the software that runs it for decades after. A Jordanian AI company that prepares and runs one project at home can carry the same models to the next one across the region.
- How can AI companies in Jordan start a PPP program?
- Any AI company in Jordan can take this guide forward. The first steps use the models, engineers and data the company already has. The guide sets out six first steps: mandate, team, pipeline, products, partners and pilot.
- What does a PPP program give AI companies in Jordan?
- The company gains fees on the preparation of every project it advises and contracts that run as long as the concessions it serves, paid by governments, sponsors and operators. Every project adds data, a reference and a route into the next consortium, in Jordan and across the region.
- Is the guide for AI Companies in Jordan free?
- Yes. It is free to read on this page and free to download as a 17-page PDF, with the case for a PPP program, Jordan’s pipeline, the role of AI, robotics and tokenization, the program and six first steps.
Guide 29 of 52
Browse all 52 guides