Saudi Contractors AuthorityMunjaz11My actionsNotifications

DMD-2026-015

Digital twin of the headquarters and qualification centres

EvaluationDevelopment proposal
Electronic formPriority evaluation
Priority score
72

Preliminary score from screening — confirmed after evaluation

Estimated cost
SAR 18.5M
Net present value
SAR 5.6M
Internal rate of return
⁦16.4%⁩
Payback period
⁦3.6⁩ years
Rank in the 2027 plan
#5

of ⁦9⁩ candidates

  1. Gate into «Submitted»DecisionGoDate27 May 2026DraftComplete
  2. Gate into «Initial review»DecisionGoDate5 July 2026SubmittedComplete
  3. Gate into «Feasibility»DecisionGoDate14 August 2026Initial reviewComplete
  4. Gate into «Evaluation»DecisionGoDate22 September 2026FeasibilityComplete
  5. Gate into «Committee review»DecisionNot held yetEvaluationCurrent stageCurrent stage
  6. Gate into «Approved»DecisionNot held yet6Committee reviewNot started
  7. Gate into «Prioritized»DecisionNot held yet7ApprovedNot started
  8. Gate into «Converted to project»DecisionNot held yet8PrioritizedNot started
  9. 9Converted to projectNot started

The request as filed

What the requester wrote on the intake form

Problem
Maintenance of 46 SCA buildings and centres runs on a calendar, not on actual condition, so money goes where it is not needed and test halls fail without warning.
Current state
There is no single digital model of the buildings, and as-built drawings and systems data sit in separate files per contractor.
Objective
A digital twin of the headquarters and qualification centres that combines building information models, sensors and hall occupancy to predict faults and direct maintenance.
Expected scope
3D building models, sensors in 12 offices and centres, integration with the Unified Operations Centre and the smart proctoring & access system, and predictive models.

Expected benefits

Savings

Maintenance cost down 18% through condition-based work

Time & speed

Faults caught six months before they show

Related lessons learned

From similar past projects — read them before evaluation

Data governance comes before the analytics platform

From Project Tracking Platform — National Phase

At the initiation gate the Project Steering Committee made NDMO classification of contractor and project data a condition.

Recommendation: Tie any analytics or AI request to the data-governance outputs and name the data owners before evaluation.

Open the lesson

National-platform integration needs early agreements

From Muqawil Platform — Release 4

Integration agreements with the data-owning agencies and the bus operator slipped 11 weeks because they only started after the contract award.

Recommendation: Start integration requests and their agreed time limits during feasibility, and plan a full integration sprint.

Open the lesson
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