About STRIV Global
Senior expertise.
Accountable delivery.
We are the AI, data and digital transformation business of Ironleaf Group. We connect practical consulting with delivery, helping organizations turn complex systems and competing priorities into work they can run, measure and improve.
Get to know STRIV
Why we exist
Close the gap between a good strategy and a working business.
Customer experience and loyalty depend on what happens behind the interface: reliable records, joined-up service and decisions people can act on. We bring technology, data and operating teams into one delivery plan.
STRIV Global is part of Ironleaf Group FZE. Our regional focus spans the UAE, Saudi Arabia and the wider GCC, alongside Syria and Lebanon. Each engagement is shaped around the organization’s systems, operating environment and agreed responsibilities.

How we work
A clear route from problem
to operating value.
The engagement should make the next decision easier to take. We connect each stage to a concrete output, then agree who is responsible for accepting and operating the work.
- 01
Diagnose
Understand the operating problem, current systems and constraints before committing to a solution.
A shared problem, baseline and decision brief.
- 02
Blueprint
Connect the business journey to data, architecture, responsibilities and a realistic release sequence.
An agreed scope, design and acceptance plan.
- 03
Deliver
Build and test complete journeys, including exceptions, permissions, recovery and the people using them.
A release the operating owner can assess.
- 04
Evidence
Review what changed, transfer operating knowledge and decide what should improve or scale next.
Acceptance evidence, handover and a value review.
Ownership stays visible.
These responsibilities are agreed for each engagement. The people making decisions and the people receiving the service should know what they own.
Business sponsor
Sets the priority, resolves trade-offs and owns the investment decision.
Engagement lead
Connects scope, delivery risks and decisions throughout the engagement.
Delivery specialists
Design, implement and test the agreed work with traceable evidence.
Operating owner
Accepts the service, prepares support and reviews value after release.
Project perspectives
See the thinking in context.

Connected health · Platform design
The Afiyah platform
Explore the current Afiyah experience: records, wellbeing and family care, with Sanad personal intelligence and Pulse Analytics.

Healthcare operations · Connected journeys
Afiyah and Sinan Hospital
Follow the care journey from booking to follow-up, and examine how the platform brings operational handoffs and service information together.
What STRIV stands for
Principles you should
see in the work.
A value matters when it changes a decision. Ours describe the behaviors and evidence we expect to bring to an engagement.
SStandards that can be demonstrated
Define quality and acceptance before work begins. Keep the test cases, design decisions and known limitations available to the people responsible for the release.
TTrust through visible decisions
Make assumptions, risks and responsibilities clear. Explain what has been demonstrated, what is still uncertain and which decision is needed next.
RResults grounded in the work
Measure the outcome against an agreed baseline. Keep a forecast, a planning example and an observed result distinct, so the business can judge what the evidence supports.
IIntensity on the right problem
Focus attention on the operating issue that matters. Challenge unnecessary scope, address difficult dependencies and keep the work connected to the intended user.
VVelocity with a supported handover
Move through useful releases without losing quality, recovery or ownership. Prepare the business to operate the service and improve it after the project team steps back.
Technology in context
The platform serves
the business decision.
Start with the workload, existing investments and operating capacity. We frame the architecture and delivery conversation around the combination that fits your organization.
Data foundations
- Databricks
- Snowflake
- Microsoft Fabric
Data engineering, governed models and analytical workloads.
Cloud environments
- Microsoft Azure
- AWS
Architecture, access, integration and operational readiness.
Business intelligence
- Tableau
- Power BI
Decision-focused reporting, scorecards and trusted measures.
Enterprise platforms
- Salesforce
- SAP
- Oracle / JDE
- IBM Maximo
Connected business journeys and platform modernization.
AI and automation sit across these layers—with approved data, evaluated behavior and clear action boundaries.
Start with what needs to change
Bring the challenge.
Let’s make the next decision clear.
A workflow that needs to work better. A report you need to trust. A program that needs a credible next step. Tell us where the friction is.
Share the business context; keep sensitive records out of the enquiry.