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.

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A load test on a steel deck with six column positions: Direction, Processes, Data access, Technology, Workforce and Adoption. The Data access column is missing; a red flag marked Missing stands in its empty socket. An AI system rests on the deck, and the deck bends over the gap.

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.

  1. Evidence folder 01: the COO's signed direction memo (illustrative example).
    In place

    Memo

    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.

  2. Evidence folder 02: the exception process map, with the re-delivery step unowned.
    Partial

    Process map · exceptions

    1. Logged
    2. Hub check
    3. Re-deliveryNo owner
    4. 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.

  3. Evidence folder 03: the access request to the transport system, stamped access pending.
    Missing

    Access request AR-118

    • Transport system · read only
    • Data owner: Group IT
    Access pending

    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.

  4. Evidence folder 04: the systems inventory, each system with how it connects.
    In place

    Systems 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.

  5. Evidence folder 05: the dispatcher training roster, 3 of 6 hubs done.
    Partial

    Training 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.

  6. Evidence folder 06: the PDPL note on customer details in drivers' messages.
    Partial

    PDPL 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?

6 hubs · transport system, customer-service CRM · data owner: Group IT

  • 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

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Where does AI pay off across our operations?

AI Transformational Audit

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Illustrative 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.
Have a solution in mind already? Take it straight to an AI Solution Blueprint

Your next step

Fix the foundations.
Then build on them.

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