AI Readiness AssessmentReady for AI?
Check what it will run on.
Data, systems,
owners, people.
We check what an AI system would depend on in your organization: direction, process owners, data access, system interfaces, team skills and adoption barriers. You learn what is in place, what is missing and what to fix first, in the order a build would need it.
Start a Readiness Assessment
One missing dimension stops the load.
The six dimensions
Six dimensions.
Each one can
stall a build.
We check each one against evidence, not opinion: a signed memo, an access test, a training roster. A gap in any of them can stop a build halfway.
In placeMemo
From: COO · To: Hub operations
Delivery exceptions are a 2026 priority.
Signed
Organizational direction
We check that a named sponsor has made the use case a priority, in writing. Without one, the build stalls at the first hard trade-off.
PartialProcess map · exceptions
- Logged
- Hub check
- Re-deliveryNo owner
- Customer told
Operational processes
We map how the work runs today and who owns each step. A step with no owner has no one to accept what we build.
MissingAccess request AR-118
- Transport system · read only
- Data owner: Group IT
Data availability and access
We test read access to the systems the AI must use, not just whether the data exists. No access, no build.
In placeSystems inventory
- Transport system · documented API
- Customer-service CRM · case log
- Drivers' WhatsApp · in use
Technology and infrastructure
We list every system involved and how it connects: a documented API, an export, or only a screen. That decides what can be integrated, and how.
PartialTraining roster · dispatchers
- Riyadh 1
- Riyadh 2
- Jeddah 1
- Jeddah 2
- Dammam 1
- Dammam 2
3 of 6 hubs trained
Workforce capability
We check who will use, review and run the system, and whether they have the time and training. Untrained teams quietly work around it.
PartialPDPL note
Customer addresses and phone numbers in drivers' messages
Review not finished
Adoption barriers
We look for what can block go-live: data-protection reviews under PDPL, policy approvals, contracts and front-line resistance. Found late, each one stops a launch.
Our deliverables
Evidence, gaps
and the first fixes.
You get the verdict, the evidence behind it, and the order to fix things.
Assessment summaryRD-031 · 1
Is Rasikh Logistics ready for
AI in delivery exceptions?
- DirectionIn place
- ProcessesPartial
- Data accessMissing
- TechnologyIn place
- WorkforcePartial
- AdoptionPartial
VerdictNot yet. One gap blocks the build, and three need work first.
Fix firstRead access to the transport system. Nothing can be built until it is granted.
Illustrative examplePage 1 of 3
Readiness or Audit?
Two questions.
Two different studies.
Can our data, systems and people carry AI at all?
AI Readiness Assessment
Start a Readiness AssessmentIllustrative example
- You can commission each one on its own.
- Each one can lead you to a paid AI Solution Blueprint.
- Ting builds nothing without a Blueprint.
