Board of GrievancesMunjaz10My actionsNotifications

DMD-2026-015

Digital twin of the court complexes

EvaluationInitiative
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 phaseCurrent phase
  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 judicial buildings runs on a calendar, not on actual condition, so money goes where it is not needed and courtrooms 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 court complexes that combines building information models, sensors and courtroom occupancy to predict faults and direct maintenance.
Expected scope
3D building models, sensors in 12 complexes, integration with the Unified Judicial Operations Centre and the smart security & 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 (§78) — read them before evaluation

Data governance comes before the analytics platform

From AI Judicial Assistant

At the planning gate the Steering Committee made SDAIA classification of case and party 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 Mueen Digital Platform — Release 4

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

Recommendation: Start integration requests and SLAs during feasibility, and plan a full integration sprint.

Open the lesson
Esc

Quick actions

Go to

Projects

↑↓to move↵to openEscto close